Imagine a brilliant graduating senior—let’s call her Sarah. Sarah has a 3.8 GPA in Data Science, completed a high-impact internship at a major tech firm, and teaches coding workshops to high school students on weekends. She’s exactly the kind of early-career talent you want to hire.

Now, imagine Sarah’s frustration. She opens a job description for an entry-level Analyst role at your company. Instead of seeing an opportunity to launch her career, she sees a wall of corporate jargon, acronyms, and a list of 25 mandatory requirements that look like they were generated by a thesaurus.

She knows she can do the job. But she’s been told by her campus career center, her mentors, and endless internet articles that to get past your AI-powered Applicant Tracking System (ATS), she must “match the keywords.”

So, Sarah spends three hours. She doesn’t spend them reflecting on her achievements or crafting a compelling narrative. She spends them “optimizing”—painstakingly replacing her own natural, authentic descriptions of her skills (“Collaborated with cross-functional teams to analyze dataset ‘X'”) with the robotic phrases in your JD (“Demonstrated synergy within matrixed organizational structures utilizing dataset ‘X'”).

This is the Keyword Optimization Arms Race. It is a process that early-career candidates hate, that strips authenticity from resumes, and that is actively damaging your ability to identify true talent.

In part five of our series on AI hiring hurdles, we’re shifting the focus from the candidate’s resume to the employer’s responsibility. The fix isn’t teaching candidates how to lie better; it’s teaching employers how to write better. We must stop using jargon-filled laundry lists and start using human-centered job descriptions that invite natural language applications.

The Cause of the Crisis: Why Jargon Creates Bots

To fix the keyword arms race, we must understand its origin: the bad job description.

Most job descriptions in the corporate world are ancient artifacts. They are copied and pasted, year after year, with more technical jargon added by each successive manager. They are “exclusive” documents, listing everything a candidate must already have, rather than “inclusive” documents, detailing what a candidate will achieve and learn.

When your JD is a rigid list of acronyms (SQL, Python, SEO, PPC, CRM, ERP, KPI) and corporate cliches (“highly motivated self-starter,” “think outside the box”), the candidate has two options:

1. Apply using their authentic voice: This is high-risk. Their story of learning Python during a summer boot camp might not use the exact phrase “Mastery of Python Syntax,” causing the older or poorly configured AI models of 2026 to down-rank them, despite their massive potential.

2. Exaggerate or “Keyword Stuff”: This is the logical choice. They repeat your JD phrases verbatim, sometimes even “white-fonting” them (hiding keywords in white text so only the AI sees them).

When you force candidates to optimize, you don’t get the best candidates; you get the candidates who are best at gaming the bot. In 2026, where early-career talent is hyper-aware of AI, writing a jargon-heavy JD is effectively a signal to the most calculating (and perhaps least authentic) candidates.

The Solution: Rewriting for “Context” and “Impact”

You don’t have to abandon keywords entirely. But you must shift how you ask for them. The goal is to move from keyword matching to semantic matching—from “Do they have this exact word?” to “Do they demonstrate understanding of this concept and context?”

Modern AI systems, when properly configured, are excellent at understanding intent. But they can only work with the context they are given. Your JD provides that context.

Here is how you rewrite your job descriptions to encourage natural language and eliminate the need for candidates to stuff their resumes.

1. Prioritize “Context” Over Acronyms

Instead of listing a software tool as a prerequisite, list the purpose it serves in natural language.

• Jargon JD: “Must possess high proficiency in Oracle NetSuite ERP.”

• Human JD: “We use Oracle NetSuite to manage our core financials and inventory. While we don’t expect you to be an expert on day one, we are looking for someone who is quick to learn complex database systems and understands basic accounting principles.”

The Difference: The “Jargon JD” requires a candidate to have NetSuite experience, which few entry-level people do. It invites exaggeration. The “Human JD” describes the why. It allows a candidate with experience in any database tool to explain how their “transferable skills” make them a strong candidate, without needing to stuff the resume with “NetSuite.”

2. Focus on “Impact” and “Learning,” Not a Past Duties Laundry List

Early-career talent should be hired for where they are going, not just where they have been. Stop describing the “tasks” and start describing the “impact.” This invites a candidate to tell their story.

• Jargon JD: “Duties include managing Excel spreadsheets for KPI tracking and CRM database entry.”

• Human JD: “Your main impact will be to ensure our marketing team has accurate data to make decisions. You’ll become the owner of our performance dashboards (we use Excel and Salesforce), learning to track key metrics and provide regular insights to leadership. Training will be provided, but curiosity is essential.”

The Difference: The “Duties” list is boring. The candidate only knows to stuff the resume with “Excel” and “KPI.” The “Impact” section tells a story. It invites Sarah to write about her experience organizing a charity event’s budget (managing data) and learning a new scheduling tool quickly (demonstrating curiosity). She can use her own words, and your semantic AI will understand the correlation.

3. Define the “Transferable Skills” in Plain English

For entry-level roles, you are hiring for potential. Soft skills (grit, resilience, critical thinking, adaptability) are paramount. But “critical thinking” is a keyword cliché. Define what it means for this role.

• Jargon JD: “Highly motivated self-starter with excellent critical thinking skills.”

• Human JD: “We move fast, and priorities shift. We are looking for someone who isn’t afraid to ask ‘why’ when something doesn’t look right, who enjoys figuring out puzzle pieces that seem conflicting, and who thrives on feedback. We don’t want robots; we want thinkers.”

The Difference: This JD explicitly signals that personality matters. It invites a candidate to write naturally about their experience—perhaps navigating a difficult group project or self-teaching a new skill outside of class—because you’ve defined the behavior, not just used a generic label.

4. The “Anti-Keyword” Disclaimer: A Radical Move for 2026

If you want to build trust and eliminate resume stuffing instantly, be explicit. Tell the candidate that you value their voice over their vocab-guessing skills.

• The Trust-Builder: Add a short box at the top or bottom of every entry-level JD:“A Quick Note on AI: We use an AI assistant to help our recruiters sort through the thousands of applications we receive. We are configured to value context and skills over exact keywords. Don’t spend hours trying to guess the ‘right’ words or stuffing your resume. Tell your authentic story in your own words. We’re interested in who you are, not how well you can copy our job description.”

The Result: This is the ultimate “fix.” It immediately reduces candidate anxiety, creates a massive advantage for your employer brand on platforms like Glassdoor and Reddit, and ensures you get resumes that are readable by actual humans, not just optimized for bots.

Conclusion: Rewrite Like a Human to Hire a Human

Early-career talent entering the 2026 job market is looking for connection and authenticity. If your first interaction with them is a jargon-laden, robotic demands document, don’t be surprised when you receive a robotic application in return.

Keywords are necessary for filtering, but they are not the point of hiring. The point is finding the human potential. By rewriting your job descriptions to emphasize context, impact, and learning—and by explicitly inviting natural language—you break the optimization arms race.

You don’t just speed up your process; you improve it. You shift the focus from “Do they match the words?” to “Can they achieve the goal?” and in a world where AI is doing the initial sorting, that distinction is everything.

Next in the Series: We’re tackling technical glitches and digital inequality—why an unstable Wi-Fi connection during an AI-monitored assessment is filtering out your most resilient (but perhaps less affluent) candidates.

Imagine this: You’ve just spent four years mastering fluid mechanics or advanced corporate finance. You’ve pulled all-nighters, passed grueling exams, and survived a thesis defense. You apply for a job that perfectly matches your skills.

Then, you get an email. The company wants you to spend 20 minutes playing a game where you pop virtual balloons to measure your “risk appetite” or click on emoji faces to test your “emotional intelligence.”

For the employer, this is cutting-edge neuroscience. For the 22-year-old candidate, it feels like they’re being asked to play Candy Crush to prove they’re smart enough to handle an Excel spreadsheet.

In the fourth installment of our series on AI hiring hurdles, we’re looking at gamified assessments. While these tools are designed to be “engaging” and “bias-free,” they often end up being the fastest way to make a high-potential candidate withdraw their application in total frustration.

1. The “Relevance Gap” (Or, Why Am I Doing This?)

The number one complaint from early-career talent regarding gamified assessments is a total lack of face validity. This is a fancy psychometric term that basically means: Does this test look like it’s actually measuring what it says it is?

• The Disconnect: If a candidate is applying for a coding job, they expect a coding test. If they’re applying for a writing job, they expect a writing prompt. When they’re asked to play a memory game involving flashing lights, the connection to their daily work is non-existent.

• The Result: Candidates feel the process is arbitrary. When the test feels “silly,” the candidate begins to view the entire company as unserious or out of touch.

2. The “Pro-Gamer” Advantage

Students today are well aware that some people are just better at video games than others. They worry that their “score” on a cognitive game is more a reflection of their hand-eye coordination or their experience with a PlayStation than their actual ability to do the job.

Why it hurts:

Early-career candidates who didn’t grow up playing fast-paced games—or those with certain neurodivergent traits or physical disabilities—often feel they are at a massive disadvantage. They fear the AI is grading them on “reflexes” when the job actually requires “reflection.”

3. Patronizing the Professionals

There is a fine line between making a hiring process “engaging” and making it “infantilizing.”

For a recent graduate who is desperate to be taken seriously as a professional, being sent a “game” can feel patronizing. They’ve spent years in high-level academic environments; they want to show off their brainpower through meaningful tasks, not by sorting virtual colored blocks under a timer.

The Candidate’s Internal Monologue: “I have a Master’s degree in Data Science. Why am I being asked to help a digital penguin find its way through a maze to prove I have logic skills?”

4. The Anxiety of the “Unknown Metric”

In a traditional test, you know how you’re being graded (get the answer right). In a gamified AI assessment, the grading is invisible.

The AI might be tracking:

• How long you hesitate before clicking.

• How many times you change your mind.

• Your “persistence” when a task becomes impossible.

The Stress Factor: This creates a unique brand of “assessment anxiety.” Because the candidate doesn’t know what “good” looks like, they overthink every single click. Instead of a fun “game,” it becomes a high-stakes psychological experiment where they don’t know the rules.

The Fix: How to Test Without the “Cringe”

You don’t have to go back to boring, 100-question multiple-choice tests. But you do need to bridge the gap between “fun” and “functional.”

1. Contextualize the Game

If you must use a gamified tool, tell the candidate exactly why.

• The Strategy: Don’t just send a link. Include a note: “This 10-minute exercise helps us understand how you process complex information in real-time. It’s not a ‘win/loss’ game, but a way for us to see your unique problem-solving style.”

• The Result: Context creates buy-in. When a candidate understands the “Why,” they stop feeling like they’re being toyed with.

2. Prioritize “Work Samples” Over “Brain Games”

If you want to see how someone works, give them a task that looks like work.

• The Strategy: Use “Job Simulations.” Instead of a generic puzzle, use a tool that asks them to prioritize a mock inbox or resolve a simulated customer conflict.

• The Result: High face validity. Even if the interface is “game-like,” the content is professional. Candidates respect a process that respects their field of study.

3. Give Immediate Value Back

One of the biggest gripes about these games is that the candidate puts in the effort and gets nothing in return.

• The Strategy: Choose platforms that provide the candidate with a “Personality Profile” or a “Strengths Report” immediately after completion.

• The Result: It turns a one-way extraction of data into a two-way exchange of value. The candidate walks away with a bit of self-knowledge, even if they don’t get the job.

4. Offer an “Analog” Alternative

Accessibility matters.

• The Strategy: Always provide an option for candidates to opt-out of the gamified version in favor of a standard assessment if they have concerns about a disability or simply feel the format doesn’t represent them well.

• The Result: This shows you value inclusion and realize that one size (or one game) does not fit all.

Conclusion: Use the Tech, Lose the Toy

Gamification was supposed to make hiring “cool.” Instead, it often makes it feel clinical and confusing. For early-career talent, the best “game” you can play is showing them a clear, respectful path to a real career.

The smartest candidates aren’t looking for the company with the flashiest puzzles—they’re looking for the company that recognizes their hard-earned expertise.

Next in the Series: We’re tackling the “Keyword Arms Race“—why your AI’s obsession with specific phrases is forcing candidates to lie (or at least exaggerate) just to get past the gatekeeper.

We’ve all heard the pitch: “AI removes human bias from the hiring process.” It sounds like a dream for any DEI-conscious HR department. No more “cloning” the boss’s favorite nephew. No more unconscious preference for people who went to the same fraternity. Just cold, hard, objective data.

But here’s the reality in 2026: AI doesn’t eliminate bias; it automates it.

If you’re a student or a recent grad, you can feel it. You’ve done everything right—you’ve got the skills, the passion, and the grit—but you’re being filtered out because you don’t fit the “prototype” the machine was taught to love.

In the third part of our series on the 10 things early-career talent hate about AI hiring, we’re tackling the “Cookie-Cutter” filter. We’re going to look at why your algorithm is probably accidentally discriminating against the very “innovators” you say you want to hire, and how to stop your tech from turning your office into a hall of mirrors.

1. The “Historical Success” Paradox

AI is essentially a giant rearview mirror. To “teach” a machine what a good candidate looks like, you have to feed it data from your past successful hires.

The Problem: If your top performers from the last ten years all came from the same five universities, had unpaid internships at the same three firms, and played the same three sports, the AI learns that those things are the “secret sauce” for success.

The Early-Career Penalty: Students from state schools, first-generation college grads, or those who had to work at a grocery store instead of taking a “prestigious” unpaid internship are immediately flagged as “low-match.” The AI isn’t looking for potential; it’s looking for a copy.

The Reality Check: You aren’t hiring for the world of 2015. You’re hiring for the world of 2027 and beyond. If your AI is busy looking for “more of the same,” you’re essentially coding obsolescence into your workforce.

2. The “Pedigree” Bias: Why Names Matter More than Skills

For an early-career candidate, their resume is a collection of signals. “Ivy League” is a signal. “State School” is a signal. “Division I Athlete” is a signal.

Algorithms are incredibly sensitive to these signals. Because they process data at scale, they tend to over-weight “prestige markers” because they correlate with high retention rates in the training data.

Why it hurts: This creates a feedback loop of privilege. If the AI decides that a “Stanford Computer Science degree” is the gold standard, it will ignore the self-taught coder from a community college who has 10,000 stars on GitHub.

For the employer, this is a disaster. You end up overpaying for “prestige” while your competitors scoop up the “hidden gems”—the candidates with high grit and technical mastery who just didn’t have the $300,000 for a private university.

3. The “Unpaid Internship” Barrier

One of the most insidious ways AI creates a cookie-cutter workforce is through its obsession with internships.

In the “ideal candidate” profile, most AI systems look for 1-2 internships at “recognizable” brands. However, many of those internships are unpaid or low-paid, meaning they are only accessible to students whose parents can subsidize their rent and food for three months in a city like New York or San Francisco.

The Filter: A candidate who spent their summer working 50 hours a week as a shift manager at a retail store to pay for their tuition is often seen as “having no relevant experience” by an algorithm.

The Reality: That shift manager probably has more leadership, conflict resolution, and time-management skills than the intern who spent the summer fetching coffee at a marketing agency. But the AI doesn’t know how to “read” that retail experience as a predictor of corporate success unless you tell it to.

4. The “Diversity of Thought” Dilemma

Innovation doesn’t come from a room full of people who all think the same way. It comes from the friction of different perspectives.

When you use AI to “clone” your top performers, you are intentionally removing that friction. You’re creating a “cultural fit” that is so tight it becomes a “cultural straightjacket.”

The Candidate’s Perspective: Recent grads—especially those from Gen Z—are hyper-aware of this. They look at your “Meet the Team” page, and then they experience your robotic hiring process, and they realize: “They don’t want me. They want a version of me that fits into their pre-existing box.” If you want to attract the best young talent, you have to show them that you value their Culture Add, not just their Culture Fit.

5. The Fixing the Filter: How to Build a “Skills-First” System

So, do you have to fire your AI? No. You just have to stop letting it be the “Boss” and start making it the “Intern.” Here is how you break the cookie-cutter cycle:

A. The “Blind” Initial Screen

Configure your AI to ignore “Prestige Markers” in the first round. Tell the system to ignore university names, zip codes, and specific company names for internships.

• The Goal: Focus the machine entirely on Skills, Certifications, and Competencies. Let the AI find the people who can do the work, regardless of where they learned to do it.

B. Audit for “Adverse Impact” (Weekly, Not Yearly)

Don’t wait for a legal audit to find out your AI is biased.

• The Strategy: Every week, look at the demographic breakdown of who the AI is “approving” vs. “rejecting.” If the AI is rejecting 90% of candidates from non-target schools who have the required technical skills, your algorithm is broken. Fix the weights.

C. Value “Alternative Experience”

You need to manually “weight” non-traditional work.

• The Strategy: Tell your AI that “Customer Service,” “Retail Management,” and “Military Service” are high-value indicators for “Soft Skills” and “Resilience.”

• The Result: You’ll start seeing a much more diverse, gritty, and capable group of candidates making it to the interview stage.

D. The “Hidden Gem” Search

Occasionally, run a “reverse search.”

• The Strategy: Ask your AI to show you the candidates it ranked in the bottom 20% who have a specific, high-value skill (like a specific coding language or a niche certification).

• The Result: You’ll often find brilliant candidates who were filtered out for “non-traditional” reasons but have exactly the technical talent you need.

Conclusion: Diversity is a Data Choice

In 2026, “I didn’t know the AI was doing that” is no longer an excuse. As an employer, you are the architect of your algorithm.

If your hiring process is producing a line of identical “cookie-cutter” employees, it’s not because the AI is “objective”—it’s because you’ve taught it to be narrow.

Early-career talent is looking for a place where their unique background is an asset, not a liability. By opening up your filters and valuing potential over pedigree, you don’t just fix your hiring process—you future-proof your company.

Next in the Series: We’re going to talk about Gamified Assessments—and why asking a Master’s student to play a “balloon popping” game to prove their IQ is the fastest way to lose their respect.

If you want to see a room full of college seniors collectively cringe, just mention the words “HireVue,” “asynchronous interview,” or “digital personality assessment.”

In the 2026 hiring market, the “one-way video interview” has become the HR equivalent of a cold call: efficient for the person making it, but universally loathed by the person receiving it.

To an employer, the math is simple. Why pay a recruiter to conduct 50 introductory phone screens when you can send a link and have an AI analyze 500 videos while you sleep? It scales. It’s consistent. It’s data-driven.

But to a student or a recent grad, the one-way video interview feels like a digital interrogation. It is the “Uncanny Valley” of recruiting—a process that looks like human interaction but feels like talking to a brick wall.

In part two of our series on the 10 things early-career talent hate about AI hiring, we’re digging into why these videos are driving your best candidates into the arms of your competitors and how you can fix the “performance” problem.

1. Staring into the Void: The Social Cue Deficit

Human communication is built on feedback loops. When you talk to a person, you see them nod. You see their eyes crinkle when you make a joke. You notice when they look confused, allowing you to pivot and clarify your point.

In a one-way video interview, all of that disappears. A candidate is left staring at a blinking red light and a countdown timer.

Why it’s a dealbreaker: For early-career professionals, who are already battling “imposter syndrome” and interview nerves, this lack of feedback is paralyzing. Without social cues, they tend to overthink every word. They become stiff, robotic, and “uncanny.” Ironically, the very tool you’re using to “see their personality” is actually the tool that is systematically stripping it away. You aren’t seeing who they are; you’re seeing how they handle being a solo content creator under extreme pressure.

2. The TikTok Generation vs. Corporate Performance

There is a common misconception among hiring managers: “Gen Z lives on camera. They’re always on TikTok and Instagram. They should be great at this!”

This is a fundamental misunderstanding of the generation. There is a massive difference between authentic expression (making a video for your friends) and corporate performance (performing for an algorithm).

The Reality: Early-career talent is actually more sensitive to “cringe” and “fake” interactions than previous generations. When a company asks them to record a video answering “What is your greatest weakness?” to a blank screen, it feels deeply inauthentic. It’s a one-sided demand for vulnerability with zero reciprocity. They feel like they’re being asked to “dance for the bot,” and for top-tier talent who have multiple options, that’s an immediate “Thanks, but no thanks.”

3. The Digital Divide and the “Studio” Requirement

One-way video interviews aren’t just awkward; they are inherently exclusionary. To “win” a video interview, a candidate needs:

• A high-speed, stable internet connection.

• A modern laptop with a high-definition camera.

• A quiet, private space.

• Professional-grade lighting (no shadows on the face).

• A neutral, “professional” background.

The Bias Problem:

Think about your average college senior. They might be living in a cramped dorm with three roommates. They might be working two jobs and only have time to do this at 11 PM in a shared library space. When an AI (or a biased human) reviews that video, are they judging the candidate’s potential, or are they judging the candidate’s socioeconomic status?

If your system filters out a brilliant engineer because their dorm room was messy or the lighting was dim, you haven’t found the “best” candidate—you’ve just found the one with the best “studio” setup.

4. The Fear of the “Hidden Scorer”

The biggest “Black Box” (as we discussed in our first article) in video interviews is the AI behind the curtain. Candidates in 2026 are well aware that many of these platforms don’t just record the video; they analyze it.

They worry about:

• Micro-expressions: “Did I blink too much? Did I look ‘angry’ when I was just thinking?”

• Eye contact: “If I look at my notes, does the AI think I’m lying?”

• Vocabulary: “Am I using enough ‘power words’ to trigger the algorithm?”

This leads to a “manufactured” interview style. Candidates spend hours on Reddit and TikTok learning how to “trick” the AI into thinking they are confident. You aren’t getting their best ideas; you’re getting their best impression of what they think a “high-scoring” human looks like.

5. The “Time vs. Reward” Imbalance

Let’s talk about the labor involved. For a candidate, a “simple” 15-minute video interview usually requires:

1. Preparation: Researching the company.

2. Setup: Cleaning the room, fixing the hair, testing the mic.

3. Practice: Doing five “takes” because the first three felt weird.

4. Execution: The actual recording.

This can easily take two hours of a student’s life. And in many cases, they do all of this for a “Stage 1” screen, only to receive a generic rejection email three days later.

Why it hurts your brand: It feels like a lack of respect for their time. If a company isn’t willing to put a human on a 15-minute Zoom call to meet them, why should the candidate put two hours into a production-level video? It signals that the company views talent as a “bulk commodity” rather than individuals.

The Fix: How to Stop Being “The Robot Employer”

You don’t necessarily have to banish video technology, but you do have to humanize it. Here is how to use video without alienating the next generation of talent:

1. Make it a “Two-Way” Experience

If you’re asking them to record a video, you should record one first.

• The Strategy: Instead of a text prompt, have the actual hiring manager or a peer record a 30-second video: “Hi! I’m Sarah, and I’d be your manager. I’m really curious to hear about a time you solved a tough problem. Take your time, don’t worry about being perfect—we just want to get to know you!”

• The Result: This breaks the “interrogation” vibe and turns it into a “digital conversation.”

2. Give Them the “Right to Choose”

In 2026, the best “Candidate Experience” is built on agency.

• The Strategy: Give candidates a choice for the first round:

  • A) A one-way video interview (for those who are busy or prefer it).

  • B) A 15-minute live phone screen with a recruiter.

  • C) A written skills-based assessment.

• The Result: You’ll find that the most diverse and high-performing candidates appreciate the option to play to their strengths.

3. Set “Human” Rules for Your AI

If you are using AI to grade these videos, turn off the “fluff” metrics.

• The Strategy: Configure your system to ignore “eye contact,” “sentiment analysis,” or “clothing.” Focus the AI strictly on the transcript of what they said—their actual answers and problem-solving logic—rather than how they looked while saying it.

4. Cap the Requirements

Don’t ask 10 questions. Ask three.

• The Strategy: Keep the entire experience under 10 minutes. If you need more than that, it’s time for a live interview.

• The Result: You lower the “barrier to entry” and show that you respect the candidate’s schedule.

Conclusion: Connection is Your Competitive Advantage

The “efficiency” of AI video interviewing is a trap. If you save $10,000 in recruiter hours but lose the top 10% of your candidate pool because your process felt “cold” and “robotic,” you haven’t actually saved anything. You’ve just successfully automated the process of hiring mediocre talent.

In 2026, the companies that are winning the war for early-career talent are the ones that realize hiring is a marketing activity. Every touchpoint is a chance to prove you’re a great place to work.

If your hiring process feels like an episode of Black Mirror, don’t be surprised when the best students swipe left.

Next in the Series: We’re diving into the “Bias Trap”—how AI filters are accidentally creating a “Cookie Cutter” workforce and why your diversity initiatives might be failing because of your software.

This one is for the student who checks their email with a kind of braced, quiet resignation.

Not the ones coasting on country club handshakes and uncles with corner offices. They have a different map entirely. This isn’t for them.

This is for you. The one sitting with something heavy in the chest most mornings, that low dread that feels less like anxiety and more like clarity. Like your nervous system has been trying to tell you something your optimism keeps refusing to hear. That the degree, the hustle, the sacrificed weekends and accumulated debt were all down payment on a future that may not be waiting on the other side.

That suspicion deserves to be taken seriously.

Because it is not weakness. It is intelligence responding to a system that was never fully explained to you.

So, I’ll make it plain.

It’s 11:47 PM. Your laptop screen is the only light in the room. The application portal is open again, and you’re staring at that little spinning wheel, that tiny digital void, waiting for confirmation that your resume landed somewhere. That it touched something real. That it didn’t just dissolve into the ether like every other attempt before it.

You’ve done everything right.

The degree. The internship. Maybe a certification squeezed between finals and a part-time job that was supposed to be temporary but somehow became permanent. You followed the architecture of success that everyone handed you: counselors, parents, LinkedIn influencers with perfect headshots and vague advice about “showing up authentically.”

And yet.

There is a particular kind of exhaustion that isn’t physical. It lives somewhere behind the sternum, a low, chronic ache that comes not from working too hard, but from working hard in the dark. From effort that doesn’t seem to connect to outcome. From feeling like you’re playing a game where everyone else knows the rules but nobody wrote them down for you.

That ache? I know it. And I want to talk about what’s actually causing it. Because it’s not what you think.

Here’s the truth that the career center brochure will never say out loud.

The job market is not a meritocracy. It’s not a queue where the most qualified candidate simply steps forward and gets called. It never was.

It’s a relationship architecture.

Who knows you. Who trusts you. Who thought of your name at 9 AM on a Tuesday when something opened up before it was ever posted.

That’s the system. And most of you, most of us, were handed a map that doesn’t show the actual terrain.

We were taught to knock on the door.

Nobody told us how the door works.

So let me tell you about the move. A specific, strategic, counterintuitive move that a small percentage of students make, and it changes everything about how they enter the working world.

Work part-time in recruiting.

Not as a career. Not as a commitment that defines you. As a lens. As a deliberate act of infiltration into the machinery of hiring itself.

Because here’s what happens when you step behind that particular curtain.

Your perspective fractures. And then it rebuilds into something sharper.

You stop applying for jobs and start understanding how jobs actually get filled. You watch the process from the inside, the side where decisions are made, where language is analyzed, where a resume gets three seconds of attention before it’s sorted into a pile you never recover from.

You learn things that cannot be taught in a classroom. Things that feel almost illegal to know.

Like the fact that clarity always beats cleverness.

You’ve spent four years learning to sound sophisticated. To construct arguments. To use vocabulary that signals intelligence. And that is genuinely valuable, but not in a job description. Not in a cover letter. Not in the first thirty seconds of a recruiter’s attention.

In those moments, the brain that’s reading your materials is not analyzing. It’s filtering.

Simple language. Alignment with their exact words. Proof, not performance.

You don’t learn that by sending applications into the void. You learn it by watching, really watching, what happens on the other side.

When you’ve sat with a stack of resumes and felt your own attention drift from the dense, over-designed ones to the clean, direct ones, something clicks. Something that rewires how you present yourself forever.

The process stops feeling random.

Because it isn’t random.

It’s predictable. It’s learnable. And it is absolutely, completely conquerable, once you can see it.

Now layer something else on top of that.

The word networking has been beaten so far past meaning that most students flinch when they hear it. It conjures images of forced smiles at career fairs, of LinkedIn messages that read like cover letters, of asking someone for something while pretending you’re not asking for something.

Recruiting dissolves all of that.

Because when you’re working in recruiting, you’re not networking out of desperation. You’re reaching out with context. With purpose. With something to offer: a role to fill, a question to ask, a genuine reason to be in conversation.

You learn how to engage professionals without the static of neediness. You learn that most people, when approached with clarity and respect, will give you more than you expected.

And here’s where it becomes almost unfair.

While your peers are starting to build relationships at graduation, when they need them, you’ve been building them for a year or two already. Quietly. Strategically. Stacking conversations the way other people stack debt.

There’s a phrase that deserves to live somewhere permanent in your mind.

Dig your well before you’re thirsty.

There is also this: the choice of where you recruit matters as much as the fact that you do it.

Don’t wander in. Aim.

If finance is where you’re headed, find a search firm that places finance talent. If it’s tech, get into an environment where engineers and product managers are the currency. If it’s healthcare, media, logistics, follow the gravity of your own future.

Because now your network isn’t just large.

It’s targeted. It’s relevant. It speaks the language of the world you’re trying to enter.

And you arrive at that world already known. Already trusted. Already part of conversations that most candidates will never get invited into.

I want to acknowledge something that doesn’t get said enough in these kinds of conversations.

There is quiet, particular grief in doing everything right and still feeling overlooked.

You study. You hustle. You stretch yourself across internships and extracurriculars and skill-building and self-improvement, and then you send out forty applications and hear almost nothing back. And the silence doesn’t just sting.

It confuses.

Because you were told the equation was simple. Effort in, opportunity out.

Here’s the uncomfortable correction to that equation.

Effort is necessary. Effort is not sufficient.

Visibility is the variable that most people never account for. Not because they’re not working hard enough. Because they’re working hard in the wrong direction, toward a system they’ve never seen from the inside.

Recruiting hands you visibility.

It puts you in rooms, literal and metaphorical, where the invisible architecture of opportunity becomes suddenly, starkly, unmissably visible.

None of this is frictionless. I want to be honest about that.

Recruiting comes with pressure. Rejection. The specific discomfort of sitting in between what a company wants and what a candidate needs. You learn to hold tension. To communicate under strain. To hear “no” repeatedly and understand it as data, not verdict.

But here’s what that friction quietly builds in you.

Resilience that isn’t performed. Emotional literacy that isn’t theoretical. A kind of groundedness that comes from having navigated something real, not simulated, not graded on a curve, not padded with safety nets.

And when you eventually step into your hiring process, on the other side of the table, as the candidate, you are not guessing.

You are calibrated.

You know how to position yourself. How to speak to what they actually need. How to move through the conversation with the quiet confidence of someone who has been inside the machine and understands its rhythms.

You’re not starting from zero.

You have relationships. Context. Perspective earned before the pressure arrived.

That is the unfair advantage.

Not luck. Not pedigree. Not the right last name or the right zip code.

Perspective earned early.

And once you carry that?

You don’t just apply for jobs.

You move differently.

– Jim Stroud is a Career Intelligence Analyst, labor market strategist, and Head of Market Strategy & Industry Engagement at ProvenBase. With more than two decades of experience spanning roles at Microsoft, Google, and Randstad Sourceright, he specializes in uncovering hidden labor market dynamics, early hiring signals, and off-market talent strategies.

He is also the publisher of The Recruiting Life newsletter, which focuses on labor trends and the future of work, Career Intelligence Weekly, whichtracks the hidden job market, and host of The Jim Stroud Podcast, which provides commentary on the world of work. He is also an international conference speaker, job search workshop facilitator for college students, and author of multiple books on career strategy and recruiting.

You also probably told yourself a comforting little lie to feel safe about using it. You told yourself, “The AI just gives the resumes a score to help us out, but a real human always double-checks the work.” Well, a major government agency just called foul on that excuse.

The UK’s Information Commissioner’s Office (ICO)—the official group that watches over data privacy laws—recently investigated how companies use AI to hire. Their verdict? The idea that humans are carefully supervising these tools is a total myth.

If you use AI to screen job seekers, you need to wake up. The way most companies use these tools is likely breaking the law, and the defense paperwork your software gives you isn’t going to save you.

The “Human Supervisor” is a Lie

The ICO put out a major report based on evidence they gathered from dozens of employers. They found a huge gap between what companies say they are doing and what is actually happening.

Most employers think they are safe from strict data laws because a human manager makes the final hiring choice. But the regulator said that doesn’t matter.

Think about how your hiring process actually works:

• The AI looks at 1,000 resumes.

• It picks the top 50 and puts them on a shortlist.

• It dumps the other 950 into “lower score” piles.

• Your human recruiter looks only at that top 50 list and picks 10 to interview.

• Your recruiter picks three finalists and forwards those to your hiring manager.

• Your hiring manager extends an offer to one of those finalists and that applicant accepts.

The ICO’s point is simple: The human recruiter and, therefore, the hiring manager didn’t make the choice as to which applications to review. The AI did. If a recruiter just clicks “approve” on a list generated by a machine, and never actually checks the people who were ranked poorly, that is called fully automated decision-making. According to Tech Times, doing this without telling the applicants or giving them a way to fight the decision is flat-out illegal under data laws like GDPR.

The UK government has already started cracking down and warning major companies to fix this. Other governments can’t be far behind. Regardless of where you’re hiring people, understand that a human supervisor can’t just be a rubber stamp. They must have the time, the information, and the power to go into the rejected pile and overrule the machine. If your recruiters never look at the bottom of the pile, your company is exposed.

The Secret Under the Hood: Your Tool is Just a “Wrapper”

Why are these AI tools doing such a bad job of ranking people in the first place? To understand that, you have to look at how they are built.

When a software salesman sells you a “smart candidate matching platform,” they make it sound like their data scientists built a custom, high-tech brain specifically for your business.

They didn’t.

Almost all of these new HR tools are what tech people call wrappers. This means the software company didn’t build an AI at all. They just built a nice-looking website that connects to the exact same AI models you use at home for free—like OpenAI’s ChatGPT, Anthropic’s Claude, Perplexity AI, or Google’s Gemini.

When a resume comes in, the software secretly sends it to ChatGPT’s brain (or whatever model you’re using) with a prompt that says: “Read this resume, compare it to the job posting, and give the resume a score from 1 to 100 for how well it matches up against the job posting.” You aren’t paying for a brilliant human resources expert. You are paying for a fancy skin on top of a generic chatbot that was trained on random internet text.

The Mirror Trap: Why the AI Picks the Wrong People

Because these tools are just wrappers on Big Tech models, it creates a massive, unfair echo chamber.

Think about it from the job seeker’s side. What do college students and young professionals do when they apply for jobs? They use ChatGPT to write their resumes. They copy your job description, paste it into the AI, and say, “Make my resume match this perfectly.”

Now look at what happens when that resume hits your computer:

[Candidate uses ChatGPT to write resume] 
               │
               ▼
[Employer uses a tool built on ChatGPT to score resumes]
               │
               ▼
[AI gives the resume a perfect score because it recognizes its own style]

If your hiring tool is built on OpenAI’s brain, and a candidate used ChatGPT to write their resume, your tool is going to give them a massive score. Why? Not because they are the best person for the job, but because the AI loves its own writing style. It recognizes the specific words, sentence structures, and patterns it likes to use.

On the other hand, imagine a brilliant, highly qualified candidate who wrote their resume by hand, or used a different AI model like Claude. Because their writing pattern doesn’t match the math inside your software’s brain, the tool might give them a terrible score and throw them away.

Your expensive software isn’t finding the best talent. It’s just finding the people who used the exact same chatbot you did.

The AI is Literally Making Stuff Up

When a human manager or a lawyer asks, “Why did the AI rank this candidate so poorly?” employers expect the software to give a real, logical answer. You click a button, and the software spits out a clean PDF report that says: “Candidate lacks leadership metrics.”

You think you are safe because you have an “audit trail.” But here is the scariest secret in tech: The AI is lying to you.

The companies that build these models—like OpenAI and Google—openly admit that they do not know exactly how their AIs make decisions. The inside of an AI brain is a giant, messy web of math, not a list of logical rules.

So, when you ask the tool why it rejected someone, it cannot look backward and find the real reason. Instead, it looks at the resume and guesses a reason that will make you happy.

In the tech world, this is called a sycophantic response. It means the AI is a suck-up. It knows you want a professional-sounding explanation, so it creates a hallucination—a made-up story—and tells it to you with absolute certainty. The AI didn’t actually reject the candidate for the reasons in the report. It rejected them because of an arbitrary math glitch, and then fabricated a nice story afterward to cover its tracks.

Why Your Audit Trail Won’t Save You in Court

If the AI is just making up stories to explain its rankings, your compliance reports are legally worthless. They are fictional receipts for a decision that didn’t happen that way.

If a rejected job seeker sues your company for discrimination—claiming your software filters out older workers, women, or minorities—a judge is not going to care about your AI-generated PDF.

In a real lawsuit, the court will bring in computer experts to look under the hood of your software. When those experts prove that the software’s “explanation” was just a chatbot hallucinating a story after the fact, your defense will fall apart. Courts will look at a fake AI audit trail the exact same way they look at a human manager who falsified documents to cover up a biased decision.

We are already seeing this happen. In the U.S., a massive class-action lawsuit called Mobley v. Workday has changed everything. The courts ruled that AI software companies can be held liable for discrimination, and judges are now forcing companies to hand over their data and client lists.

If you are relying on a chatbot’s guess to protect your company from a multi-million dollar lawsuit, you are walking into a trap.

How to Protect Your Company Right Now

You don’t have to completely ban AI from your office, but you have to stop trusting it blindly. If you want to stay safe from regulators and courts, you need to change how you hire immediately:

• Audit your pile: Force your recruiters to look at the bottom of the list. Regularly pull random resumes that the AI gave an F-grade and read them. If you find great candidates down there, your software is broken.

• Interrogate your software vendors: Call your software provider and ask them hard questions. Ask them: “Whose AI brain are you using?” and “Are the explanations your tool gives me real math, or is the AI just generating a story after the fact?”

• Stop the rubber-stamping: Change your internal rules. Ensure human recruiters are actively looking at a wide variety of candidates, not just the top five names the machine feeds them.

AI can be a helpful assistant, but it cannot be the boss. The moment you let an opaque machine decide who gets a job—and accept its fake excuses without question—you lose control of your business and your legal safety. Turn off the auto-pilot and put humans back in charge of hiring humans.

The conventional wisdom is loud and clear: this is a brutal, unforgiving market for recent graduates and those just starting out. We hear stories of application black holes, mass tech layoffs, and general economic belt-tightening. This pervasive narrative dictates that the supply of candidates vastly overwhelms the demand for jobs, making it an employer’s market in the truest, most relaxed sense.

But, as a TA leader, you can’t afford to operate on conventional wisdom, especially when the massive, verifiable data we’re seeing directly, unequivocally, and aggressively contradicts the popular narrative. The truth is that while the perception of a tight early-career market is real, the jobs are not disappearing. In fact, if you look at the raw data on employer demand across hundreds of millions of interactions, you’ll see that the hiring engine for junior talent is accelerating, not slowing down.

Here’s the stunning reality that must inform your talent strategy for the current year and beyond: according to the May 2026 Workforce Insights study by ICIMS, postings for early-career roles are significantly up over the past year. What is down is the candidate’s willingness to apply. The imbalance you are struggling with isn’t a lack of job openings, it’s a critical supply-side constraint—a constrained candidate pool driven by widespread fear, not simple fact. The number of employers who are looking to hire, and the number they want to hire, is significantly up over the past year.

The Concern is a Sentiment Story, Not a Data Story

Let’s be crystal clear about the foundation of the current market anxiety. The concern that entry-level jobs are disappearing is a sentiment story, not a data story. It is a psychological roadblock for your target demographic that is translating into a physical application roadblock for your recruiting teams.

We’ve all watched a massive cultural conversation—and yes, a legitimate industrial revolution—unfold around the integration of Artificial Intelligence. This has profound implications for every worker, but it has hit the younger generation, Gen Z, with particular force. Why? Because they are at the beginning of their careers, they have the least professional experience to leverage, and they are constantly being told their first-rung jobs are the most vulnerable to automation. They see the layoffs in tech and assume that, globally, entry-level opportunities are being eliminated, not redistributed or redefined.

The data confirms the paralyzing effect of this anxiety. A staggering 74% of all job seekers currently believe that AI is reducing the availability of entry-level roles. This is the perception gap you are up against. This is why you may have dozens of positions open, yet your talent acquisition teams are reporting anemic application numbers—and they’re struggling to find relevant candidates who are actively engaging with the market.

This fear is causing candidates to pull back, to hoard applications, or to simply disengage from a job search they believe is futile. They are waiting for the perfect role, fearing that every application they submit is a sign of desperation in a market that doesn’t want them. They are self-selecting out of the funnel. This leads to the critical paradox we are witnessing: employer demand is near a 13-month high, creating the exact conditions where your internal sourcing teams are overstressed and inefficient, chasing a ghost when the actual opportunity is right in front of them.

The Data Directly Contradicts the Fear

For Fortune 1,000 TA leaders, you must replace sentiment with verifiable market intelligence. We aren’t dealing with anecdotal evidence; the figures we rely on are drawn from comprehensive analyses of massive real-world hiring activity, spanning hundreds of millions of candidate profiles, applications, and millions of actual hires. These figures paint a completely different picture than the one dominating social media and cable news.

1. Entry-Level Job Openings are Soaring: Between March 2025 and April 2026, the volume of entry-level job openings increased by a substantial 18%. This increase pushed demand to a 13-month high. Let that sink in: while the public narrative is about jobs shrinking, employers—including major players like you—are expanding your early-career pipelines aggressively. The number of employers looking to hire, and the number of positions they want to fill, is significantly up over the past year.

2. Candidate Engagement is Collapsing: Over that very same period—the 13 months where entry-level job demand spiked by 18%—the entry-level application volume declined by 9%. Candidates are pulling back, not employers.

The math is simple, and it creates a terrifying equation for talent acquisition:

• Demand is up +18%.

• Supply/Engagement is down -9%.

The result is a widening, structural gap that represents persistent, unfilled employer need. Candidates are not applying to fewer jobs because there are fewer jobs; they are applying to fewer jobs because a perception-driven anxiety has caused them to pull back, creating an artificial, and expensive, constraint on candidate supply.

This imbalance isn’t unique to entry-level roles, either. We see a similar, though less dramatic, trend across the board: overall U.S. job openings (all levels) are up 15%, while overall applications have declined by 10%. However, the structural divergence is most acute and most damaging at the early-career level, where the volatility is greater and the long-term impact on your workforce planning is most severe.

The Structural Bottleneck and the Compounding Crisis

For Fortune 1,000 companies, a few percentage points of variance might seem minor, but when applied to millions of potential hires, this gap becomes a monumental strategic problem.

Despite an 18% surge in openings, entry-level hires were only up by 3%. That 15-point difference is not a hiring anomaly; it is a structural bottleneck. It signifies a systematic failure to connect the substantial demand you have with the available candidates who exist, are qualified, and are seeking work.

Senior TA leaders must internalize this consequence: organizations that fail to aggressively and successfully build their junior pipelines today face compounding workforce gaps in the future.

Early-career talent represents the lifeblood of your long-term workforce planning. They are the future managers, the technical leads, the seasoned specialists, and the senior directors who understand your internal systems and culture. If your organization is routinely falling short on entry-level hiring targets—if that 18% demand increase only nets a 3% hiring increase—you are guaranteeing that three, five, and seven years from now, you will lack the internal talent to fill mid-level roles through promotion.

The consequences are severe:

1. Mid-Level Crisis: You will be forced to fill mid-level positions externally, which is dramatically more expensive, carries greater risk of cultural mismatch, and eliminates the institutional knowledge that comes from an internal growth path.

2. Productivity Drag: Your current mid-level staff will be required to carry the workload of the unfilled junior positions, leading to burnout, lower productivity, and increased attrition among your most valuable employees.

3. Hiring Cost Spike: The competition for that scarce mid-level external talent will be fierce, driving up salaries, signing bonuses, and agency fees.

This structural shortage sustains multi-year advertiser investment in platforms that specialize in helping employers reach job seekers who are early in their careers because the problem doesn’t disappear; it just changes form and becomes exponentially more costly over time. Ignoring the early-career gap today is merely deferring a much larger, more expensive crisis down the line.

Why Generalized Sourcing is Failing You

When candidate engagement drops and application volume declines broadly, generalized job boards—the broad-market platforms that serve everyone from minimum wage retailers to C-suite executive recruiters—struggle immensely to deliver the focused funnel you need for early-career hires.

The market requires a fundamental shift in sourcing strategy. You cannot afford to spray and pray across generalized channels and hope to capture the attention of an increasingly fearful and scarce demographic. This is an environment that fundamentally favors specialists.

The application market dynamic itself is changing. The 18–24 demographic’s share of total applications has dropped from 44% to 40% year-over-year as Gen Z partially exits the generalized market pool. This audience is becoming increasingly scarce in the general applicant pool, making them harder, more expensive, and less efficient to reach on platforms that lack concentrated focus.

Think about the economics. As the available volume of applications declines on a generalized platform, the cost per relevant application (CPA) inevitably rises. The quality degrades because you are relying on sheer scale, not relevance. Your recruiters spend more time filtering out candidates who are irrelevant or overqualified than they do engaging with the precise target cohort.

A platform purpose-built to reach that specific demographic—the 18–24 cohort that still represents the largest single demographic segment in the applicant market at 40%—becomes exponentially more valuable, not less. This specialized concentration ensures that the investment you make targets the candidates most likely to fill that 18% surge in demand. When the market tightens, specialization is the only way to maintain efficiency and relevance, securing a highly engaged, focused audience while the broad-market players are fighting over scraps.

Navigating the Future: A Strategic Imperative

Two critical tailwinds are supporting the long-term asset thesis for early-career talent acquisition, and smart TA leaders must lean into them to solve this structural bottleneck:

1. Active Seekers and Targeted Engagement: Despite the hiring surge and the public anxiety, not every recent graduate has found a home. The unemployment rate for recent college graduates was 5.7% in Q4 2025, which is notably higher than the 4.2% overall rate. This is crucial intelligence: it means a larger percentage of early-career candidates are actively seeking work and engaging with relevant platforms. They are in the market, but they are concentrated, anxious, and must be targeted efficiently and specifically. They are not responding to general outreach because they are looking for validation and specialized opportunities that address their specific skill set and anxieties about career longevity.

2. The Power of Skills-Based Hiring:The primary strategic recommendation across the broader TA industry is the adoption of skills-based hiring. For entry-level roles, this is a game-changer. By removing artificial experience barriers—such as requiring two years of experience for a job designed for a recent grad—you fundamentally expand the addressable candidate pool, which is directionally favorable for application volume over time. This requires you to reach candidates at the earliest stages of their careers, focusing on potential, demonstrated competencies, and aptitude rather than just prior employment history. Platforms that excel at reaching the student and recent grad population are perfectly positioned to capitalize on this shift, helping you identify skills before they become formal, costly experience.

Furthermore, employers are under increasing pressure to move faster and communicate more effectively with candidates. The anxious Gen Z audience demands speed and transparency. Platforms that facilitate that connection with an engaged, relevant audience—reducing the time-to-hire by skipping over the irrelevant noise—win a larger share of the employer budget because they deliver measurable results in a difficult environment.

The Final Frame

When a potential buyer of recruitment advertising or an internal stakeholder raises a concern about entry-level job volume based on general market sentiment, your response must be sharp, data-driven, and strategic. Do not allow the conversation to be hijacked by the narrative of a disappearing job market. The data doesn’t support their concern. Entry-level job openings hit a 13-month high—up 18% from baseline. What’s truly declining is candidate application volume, driven primarily by AI anxiety among Gen Z workers.

This gap—strong employer demand meeting a constrained candidate supply—is precisely the market condition that makes developing a specialized early-career pipeline a strategic necessity for Fortune 1,000 employers, not a discretionary spend.

Remember these core framing points:

• Differentiation is Concentration: Your investment must focus on the 18–24 audience, the demographic that is hardest to reach and most in demand because they are self-limiting their market engagement.

• The Market is Tightening, Not Shrinking: Tight markets do not favor the generalized, volume-based approach; they favor the specialists who can efficiently and reliably connect high-demand employers with the increasingly scarce 18–24 audience.

• Acquiring a Solution, Not a Board: A potential buyer of recruitment advertising is not just posting to a niche job board; they are acquiring a structural solution to a documented, data-backed workforce challenge that is getting harder, not easier, to solve.

Don’t be fooled by the noise. The war for early-career talent is on, and the side with the best intelligence and most specialized strategy will win.

Hanging onto a job just because it feels “safe” can also seriously slow your roll when it comes to cash and career growth. Did you know 41% of workers haven’t seen a meaningful raise in the last two years? That is a major roadblock if you are trying to pay off student loans or save up for your dream life! We chat about how to tell if your current gig is actually helping you level up, and why tapping into your network is your ultimate secret weapon—especially since 54% of workers land their next big thing through a connection.

This conversation is completely inspired by the awesome article “Should you stay or should you go? What the ‘great stay’ means for your career” featured on College Recruiter, a site that fundamentally believes every student and recent grad deserves a great career. Whether you’re plotting a grand exit strategy or figuring out how to intentionally build skills right where you are, we’ll help you make sure fear isn’t the only thing driving your career decisions!

During your internship or job search, you may try to stretch your previous work experience to fill up a page and it may seem like it’s falling short. 

There’s no need to freak out. Here’s the thing: Yes, employers will specifically look for your skills and experience on your resume, packed with power verbs, and quantifiable responsibilities. That said, they know you’re in college and won’t have a robust resume full of numerous employers and bullets describing each position. If you only have one or two at this point, that’s completely fine.

Better yet? Your resume doesn’t need to entirely showcase your internships and employment. In fact, it shouldn’t. You should include more information serving as data points for recruiters. And you don’t need to recreate the wheel (industry resume templates can help get you started!). 

When you’re in college, employers expect to see experience drawn from areas outside the classroom. They provide more information to employers as a well-rounded candidate, plus it can make you stand out from other candidates. As a bonus, if the interviewer had a similar experience in college or connection through your endeavors, it’s a way for you to organically make a genuine connection.

Here are several ideas to ramp up your resume that go beyond the standard internship and job.

Volunteering

Including your volunteering on your resume is an excellent way to highlight your out-of-the box experiences. When I worked in recruiting, it was always an interesting talking point during interviews. I was intrigued to find out more about the volunteering itself and what the college students learned and ultimately, how their skills developed. 

Volunteering is a great way for you to gain new skills and experiences while meeting new people and potentially getting a recommendation from your supervisor. It also teaches you intangibles like time and project management and allows you to build soft skills. 

Always include volunteering on your resume! Quantify it whenever possible–if you spearheaded a committee for an annual fundraiser, was the total amount raised? At an entry-level volunteer position, employers will know you’re not at a leadership level running the event, for example. What they do know and look for is your participation in the overall organization.

Pro tip: as you’re reading this list if you don’t have any of these experiences yet, feel free to leverage them as inspiration to pursue some, even short-term volunteer gigs not only for your resume, but also for your overall career growth.

Study abroad

Your study abroad experience on your resume is another excellent way to show your versatility in assimilating to other cultures and languages, especially if you’re learning the language and/or becoming proficient. If you had an internship during your overseas stint (or maybe not overseas–I studied “abroad” in Canada, thank you very much!), definitely include it. If you went on an excursion with your school or lived with a host family, include these things, too. They make you a well-rounded person.

Research projects

If you’ve been working closely with a professor, assisting with research, if you’ve been mentored by a professor for your thesis, include these important projects, too! They’re worth mentioning. 

By adding a few bullets on your resume about academic pursuits above and beyond the curriculum, again, you’re providing interesting fodder to employers about your background. They’re conversation starters and they show how you go above and beyond what’s expected of you. 

Student organizations

Don’t sleep on the organizations you’re a member of or the ways that you contribute, such as running meetings, being a reliable staff member (such as giving campus tours on a weekly basis), honor societies, Greek life, and more. 

As you list the organizations and your role, include your skills and responsibilities. For instance, if you’re a treasurer in student government, you’re likely constantly working with your “clients” – students and the administration while crunching numbers–a valuable skill when you’re pursuing analytical and financial roles.

These are just some ideas to get you started. Got a side hustle? Include it! Build websites or run social media for your friends? Those are valuable skills and show your entrepreneurial spirit–let this article spark ideas for your interests and experiences that you may not even realize employers would be interested in hearing about!

In addition, you may want to schedule appointments with your career center on campus for their input, talk to classmates and friends about what activities and endeavors they’ve put on their resume, look online for ideas and resume conversations such as r/resumes on Reddit, and more. 

Keep in mind as your resume should at least be one page long with critical elements included. 

As you progress during your career, education and your experiences related to earning your degree will move toward the bottom of your resume instead of the top. Over time, you’ll start whittling down these extra endeavors, but now they’re pertinent, relevant, and very important.

Imagine a student—let’s call her Maya—who spent four years grinding for a computer science degree. She’s got a solid GPA, two internships, and a side project she’s genuinely proud of. She finds a “Junior Developer” role at your company, spends three hours tailoring her resume, and hits submit at 11:15 PM.

By 11:16 PM, she has an automated rejection email.

Maya doesn’t feel like she was “evaluated by an efficient system.” She feels like she was slapped in the face by a math equation she isn’t allowed to see. That is the “Black Box” of AI hiring, and if you’re wondering why your Glassdoor reviews are tanking or why top-tier grads are ghosting your recruiters, this is the place to start.

Let’s pull back the curtain on why this “mystery meat” approach to hiring is killing your employer brand and how you can fix it without ditching the tech entirely.

The Ghost in the Machine: What the “Black Box” Actually Feels Like

When we talk about “transparency” in HR tech, we’re usually talking about compliance. But for a 22-year-old looking for their first real break, transparency is about respect.

The “Black Box” refers to any AI-driven screening tool where the logic is hidden. The candidate puts their life story in one end, and a “Yes” or “No” pops out the other. The middle part—the part where the actual deciding happens—is a total mystery.

The “Keyword Arms Race”

Because candidates don’t know how the AI is judging them, they’ve stopped trying to be impressive and started trying to be “readable.” We’re seeing a massive rise in “white-fonting” (putting keywords in white text so only the AI sees them) or resumes that look like they were written by a dictionary.

When you hide your criteria, you don’t get the best candidates; you get the candidates who are best at “gaming” the bot. You’re effectively hiring for “SEO skills” regardless of the job description.

The Psychological Toll of the “Instant Reject”

There is a specific kind of “hiring trauma” happening with recent grads. They are entering a workforce where they feel their human potential is being reduced to a data point. When a human recruiter rejects you, you can tell yourself, “Maybe they wanted more Java experience.” When a bot rejects you in sixty seconds, the takeaway is: “I am fundamentally broken, and I don’t know why.”

Why Early-Career Talent is Hit Hardest

If you’re a Senior VP with twenty years of experience, a bot rejection is an annoyance. If you’re a senior in college, it’s an existential crisis.

1. The Lack of “Standard” Data

AI loves data. It loves years of experience, specific past job titles, and measurable ROI. Most students don’t have that. They have “soft” signals: a leadership role in a club, a difficult course load, or a part-time job at a coffee shop that taught them how to handle high-pressure environments. If your Black Box isn’t told to value those things, it tosses them.

2. The “Mirror” Problem

Most AI hiring tools are trained on “past success.” They look at who you hired five years ago and try to find more of them. But five years ago, the world was different. Your DEI goals were likely different. By using a hidden algorithm, you are often unintentionally baking in the biases of the past while telling your campus recruiters to “find fresh, diverse perspectives.” The two goals are literally at war with each other.

The 2026 Reality: Regulators are Moving In

We’ve moved past the “Wild West” phase of AI recruiting. In 2026, transparency isn’t just a “nice to have”—it’s becoming a legal requirement. From New York to the EU, laws are being passed that give candidates the right to know when AI is being used and, more importantly, the right to an explanation.

If your tech vendor can’t tell you why the system rejected Maya, you aren’t just being opaque; you’re being a liability. Oh, and in case you were thinking that you could just ask the AI why it felt Maya wasn’t a good fit, think again. All of the major AI companies, at least one of which is almost surely being used by your ATS or other AI vendor, admit that their AI systems aren’t capable of accurately providing self-audits. In other words, if you ask them why they made a decision, they’ll give you a plausible answer, but that answer will likely be wrong. When you’re the defendant in an employment-related lawsuit, it isn’t going to be enough to say that the AI told you so, as the courts now understand that the AI isn’t capable of providing answers that can be relied upon.

How to Fix It: Three Steps to Radical Transparency

You don’t have to delete your AI. You just have to stop treating it like a secret society. Here is how you bring the “human” back into the process:

1. The “Open Syllabus” Approach

Remember in college when a professor gave you a syllabus that clearly explained that the mid-term was 30% of your grade and participation was 10%? Do that for your job applications.

• Tell them the bot is there. Don’t hide it in the Terms and Conditions. Put a disclaimer on the application page: “We use an AI assistant to help us sort through the 5,000 resumes we receive. It’s looking specifically for [Skill A], [Skill B], and [Experience C].”

• Give them a “Cheat Sheet.” Tell them exactly what the AI likes. “Our system prefers PDF formats and looks for specific mentions of Project Management tools.”

2. The “Learning Loop” Rejection

The “standard” rejection email is the biggest bridge-burner in HR. If you’re using AI to screen, use that same AI to provide a tiny bit of value back to the candidate.

Instead of: “We’ve decided to move in a different direction.”

Try: “Our automated screen didn’t see the minimum 2 years of Python experience we’re looking for. If this is a mistake, click here to flag it for a human.”

Even a “bad” answer is better than a “mystery” answer. It gives the candidate something to work on for next time.

3. Human “Spot Checks”

Never let your AI have the final say on a rejection. Implement a “sanity check” where recruiters spend 30 minutes a day looking at the “bottom” 10% of candidates the AI rejected.

You’d be surprised how often you’ll find a “Maya”—someone who didn’t use the right keywords but is clearly a rockstar. When you find one, use that data to retrain your AI.

The Bottom Line: Trust is Your Best Recruiting Tool

The smartest students graduating this year aren’t just looking for a paycheck; they’re looking for a culture they can trust. If your first interaction with them is a “Black Box” that feels cold and arbitrary, you’ve already lost the culture war.

Transparency doesn’t make your process slower. It makes your candidate pool better. When people know what you’re looking for, the “right” people apply and the “wrong” people self-select out.

Stop the mystery. Open the box. Your 2026 hiring targets depend on it.

Coming Up Next: We’re going to talk about the “Uncanny Valley”—the weird, uncomfortable world of One-Way Video Interviews, and why your candidates would rather get a root canal than record a 3-minute video for a bot.

Gen Z and younger Millennials prioritize transparency, authenticity, and “human-centric” workplaces, and so the rapid adoption of AI in recruiting has created a significant friction point. If your AI isn’t calibrated with the candidate experience in mind, you aren’t just filtering resumes; you are actively filtering out top-tier talent who would rather work for a competitor that treats them like a human being.

Here are the 10 things early-career candidates hate most about AI-powered hiring systems, and how you can fix them.

1. The “Black Box” Mystery (Lack of Transparency)

One of the biggest frustrations for early-career job seekers is the total lack of transparency regarding how AI makes decisions. When a human recruiter rejects a candidate, there is at least the concept of a reason. With AI, candidates feel their fate is decided by a “black box” algorithm they don’t understand.

Why it hurts: Early-career candidates are often still learning how to position themselves. When they are rejected instantly by an algorithm without knowing if it was because of their GPA, a missing keyword, or a specific assessment score, they feel helpless. This lack of clarity builds resentment toward your employer brand.

The Fix: Be transparent about the tools you use. Inform candidates at the start of the process that AI is being used to assist in the screening and explain what specific criteria (e.g., specific skills or certifications) the system is looking for.

2. The One-Way Video Interview (The “Uncanny Valley”)

Asynchronous video interviews (AVIs), where a candidate records answers to prompts without a human on the other end, are perhaps the most loathed part of the modern hiring stack. Having to talk to a blank screen while a timer counts down feels unnatural and clinical.

Why it hurts: It’s an “all-risk, no-reward” scenario for the candidate. They are being judged on their facial expressions and tone by an AI, but they receive zero social cues or feedback in return. For a generation that values real connection, this feels like an interrogation by a robot.

The Fix: Limit the use of one-way videos to the very earliest stages and ensure the “questions” are asked via video by a real team member to add a human face to the prompt. Better yet, move to live (but recorded) interviews as soon as possible.

3. Algorithmic Bias and the “Cookie Cutter” Filter

Students and recent grads are acutely aware of the potential for algorithmic bias. They fear that AI systems, trained on “historical data” (which often means a workforce that was less diverse), will naturally favor candidates from certain zip codes, prestigious universities, or specific demographic backgrounds.

Why it hurts: Early-career talent often brings diverse perspectives and non-traditional backgrounds. If an AI is programmed to look for the “ideal” candidate based on who succeeded in your company 10 years ago, it will likely filter out the very innovators and diverse voices you claim to want.

The Fix: Regularly audit your AI tools for bias. Ensure your “ideal candidate” profile isn’t just a mirror of your current leadership, but a reflection of the skills needed for the future.

4. Gamified Assessments That Feel Demeaning

Many AI hiring suites replace traditional skills tests with “brain games”—puzzles designed to measure cognitive ability, risk appetite, or memory. While recruiters see data, candidates often see a waste of time that feels disconnected from the actual job.

Why it hurts: A computer science grad spent four years mastering complex code; being asked to play a “memory match” game to prove their worth feels patronizing. If the game doesn’t clearly relate to the role, it comes across as “jumping through hoops” for the sake of the algorithm.

The Fix: Only use assessments that are directly relevant to the role. If you use gamified tools, explain why—e.g., “This helps us understand your natural problem-solving style in a low-stress environment.”

5. The “Keyword Optimization” Arms Race

Candidates hate that they have to write for a machine rather than a person. This leads to “keyword stuffing” where candidates try to guess the exact phrases the AI wants to see, often at the expense of telling their actual story.

Why it hurts: It rewards those who are good at “gaming the system” rather than those who are good at the job. Early-career professionals who might have incredible potential but haven’t mastered the art of SEO-optimizing their resume are often discarded by the system before a human ever sees them.

The Fix: Use AI tools that prioritize “skills-based” matching and “intent” rather than strict keyword matching. Encourage candidates to use natural language in their applications.

6. Technical Glitches and Digital Inequality

AI systems are only as good as the candidate’s internet connection and hardware. If a candidate’s Wi-Fi drops during an AI-monitored assessment, or if the AI’s facial recognition struggles with certain lighting or skin tones, the candidate is often the one penalized.

Why it hurts: This creates a barrier for candidates from lower socioeconomic backgrounds who may not have the latest MacBook or high-speed fiber internet. It turns a “meritocratic” process into a “technological” one.

The Fix: Always provide a “Request Technical Assistance” or “Retry” option that is managed by a human. Ensure your AI tools are optimized for mobile devices and low-bandwidth situations.

7. Ghosting by Algorithm (The Automated Rejection)

There is a special kind of sting associated with receiving a rejection email 0.4 seconds after hitting “Submit.” It tells the candidate that no human ever looked at their effort, and it leaves them with no path for feedback.

Why it hurts: Early-career candidates put hours into their applications. When a bot rejects them instantly, it feels like their hard-earned degree and internships were dismissed by a line of code. Even worse is “AI Ghosting,” where the system simply stops communicating if you don’t hit a certain score.

The Fix: Delay rejection emails by 24 hours to give the appearance of human review, and provide at least one or two points of automated feedback (e.g., “We are looking for more experience with Python than your profile currently shows”).

8. The Death of “Soft Skills” and Personality

AI is great at measuring “hard” data points—years of experience, software proficiency, GPA. It is notoriously bad at measuring empathy, resilience, curiosity, and “culture add.”

Why it hurts: For early-career talent, “potential” is their greatest asset. They don’t have 10 years of experience to point to, so they rely on their personality and soft skills to win the job. When AI acts as the primary gatekeeper, those intangible qualities are often ignored.

The Fix: Use AI for the initial “minimum requirements” sweep, but move to human-led interactions as quickly as possible to evaluate the “human” side of the candidate.

9. Privacy and Data Surveillance Concerns

Gen Z is the most “online” generation, but they are also the most concerned about data privacy. They hate not knowing where their video recordings, assessment data, and personal information are being stored or if they are being used to train other models without their consent.

Why it hurts: It creates a lack of trust from day one. If a candidate feels “watched” or “data-mined” during the interview, they will carry that skepticism into the job—or simply opt out of the process entirely.

The Fix: Provide a clear, plain-English data privacy policy. Tell them exactly how long you keep their data and give them the option to have it deleted after the hiring cycle ends.

10. Over-reliance on Past Data vs. Future Potential

AI models are inherently backward-looking; they analyze what has worked in the past to predict the future. However, the world of work is changing rapidly. What worked for a marketing manager in 2015 isn’t necessarily what will work in 2026.

Why it hurts: Early-career talent represents the future. By using AI to find “more of the same,” employers are effectively shutting the door on the very people who can help them pivot and grow in a changing economy.

The Fix: Set your AI parameters to be “inclusive” rather than “exclusive.” Instead of telling the AI to “find me another person like [Top Employee],” tell it to “find me someone with these core competencies who shows a high capacity for learning.”

Conclusion: Bringing the Human Back to HR

AI is a tool, not a replacement for judgment. For employers looking to attract the brightest young minds, the goal should be “Augmented Recruiting,” not “Automated Recruiting.”

If you use AI to handle the paperwork so your recruiters have more time to actually talk to candidates, you win. If you use AI to replace the conversation entirely, you lose. Early-career talent isn’t looking for a perfect, frictionless, robotic experience—they are looking for a career, a mentor, and a place where they belong. Make sure your hiring system reflects that.

Next Steps:

Over the coming days, we will be diving deep into each of these 10 points with a dedicated article for each, providing deeper data and actionable strategies for your team.

Then, you opened Google Maps.

The little red pin representing your new office is a staggering 65 miles away. In clear traffic, it’s an hour. In rush hour? It’s a soul-crushing two-hour crawl through gridlock. Or perhaps the internship is in a different city entirely, and your bank account is currently screaming at the thought of a short-term lease.

This is the “Internship Distance Dilemma.” It’s the moment where the excitement of career progression hits the brick wall of logistical reality. Do you turn down a life-changing opportunity because of a zip code? Or do you sacrifice your sleep, your gas money, and your sanity for three months?

Before you hit “decline” on that offer, let’s explore the Q2 2026 landscape of flexible work and modern commuting. You have more options than you think. Here is your comprehensive guide to navigating a distant internship without burning out before the mid-term review.

Phase 1: The “Math of the Move” – Is it Worth the Commute?

Before we talk about how to do it, we have to talk about if you should do it. A two-hour commute each way is four hours a day. Over a 10-week internship, that is 200 hours spent in a car or on a train.

The ROI Calculation

In the early career stages, you shouldn’t just look at your hourly wage. You need to calculate the Return on Investment (ROI). Ask yourself:

• The Brand Name: Will having this company on my resume for the rest of my life outweigh ten weeks of exhaustion?

• The Pipeline: Does this company have a high conversion rate (do they hire their interns for full-time entry-level roles)?

• The Skills Gap: Are they teaching you a proprietary software or a niche skill that you can’t get anywhere else?

If the answer to these is “Yes,” then the commute is a temporary tax on a permanent gain. If the internship is “just okay” and the commute is “horrible,” it might be time to keep searching on College Recruiter for something closer to home.

Phase 2: Mastering the “Mega-Commute”

If you decide to brave the distance, you cannot approach it like a normal 15-minute drive. You need a tactical plan.

1. The Productivity Pivot

If you are taking public transit (trains, buses, or subways), your commute is not “lost time”—it’s your office.

• The “First Hour” Rule: Use the morning commute to clear your inbox, read industry news, or prep for your morning meetings. If you do this on the train, you can often leave the office 30 minutes earlier because your “administrative” work is already done.

• Skill-Building: Use this time for certifications. If you’re pursuing a Google Analytics or HubSpot certification, the train is the perfect “study hall.”

2. The “Wind-Down” Audio

If you are driving, your hands are busy but your brain is free.

• The Professional Podcast: Listen to podcasts specific to your industry. By the time you walk into the office, you’ll be primed with the latest trends and “water cooler” topics.

• The Language Hack: Three months of a two-hour commute is enough time to reach basic proficiency in a new language using audio tools like Pimsleur or Duolingo.

3. The “Crash Pad” Strategy

You don’t necessarily have to move, and you don’t necessarily have to drive every day. Look for a “Tuesday-Thursday” solution. Is there a cheap Airbnb, a distant relative, or a friend-of-a-friend who lives near the office? Sometimes staying in town for just two nights a week can cut your total weekly commute time by 40%.

Phase 3: The Art of the Negotiation (Hybrid and Compressed Schedules)

We are living in the “Flexibility Era.” Even as some companies push for a return to the office, the rules for interns have become more fluid. Most hiring managers would rather have a talented intern who works hybrid than lose that talent to a competitor because of a commute.

The Golden Rule: Do not negotiate the terms until you have the offer in writing. You want them to be “sold” on you before you ask for adjustments.

Strategy A: The “Value-First” Hybrid Pitch

Don’t ask to work from home because “the drive is long.” Ask to work from home to “maximize productivity.”

The Script: “I am incredibly excited about this role and committed to delivering high-quality work. Given the significant distance of my commute, I’d like to discuss the possibility of a hybrid schedule—perhaps three days in the office for collaborative meetings and two days remote for deep-work tasks like [specific project]. This would allow me to put those four hours of daily travel time directly back into my project deliverables.”

Strategy B: The “4/10” Compressed Work Week

If the company is strictly “in-person,” suggest a compressed schedule. Working four days a week for 10 hours a day (the 4/10 rule) instead of five days for 8 hours.

• The Benefit to You: You eliminate one full day of commuting (20% of your travel time).

• The Benefit to Them: They get a dedicated intern who is there earlier and stays later than the rest of the staff, often helping to “close out” the day.

Strategy C: The “Trial Period”

If the manager seems hesitant, offer a trial.

“Could we try the hybrid schedule for the first two weeks? If my output isn’t meeting your expectations, I am happy to revert to the standard five-day in-person schedule.” (Pro-tip: If you suggest this, you better work twice as hard on those remote days to prove the concept.)

Phase 4: Relocating for the Summer – Short-Term Survival

Sometimes, the distance is simply too great. If the internship is 300 miles away, you’re moving. But how do you afford to move for a job that might only last 8 to 12 weeks?

1. The University Sublet

This is the “Holy Grail” of intern housing. Almost every major city has a university nearby. In the summer, thousands of students leave for their own internships and are desperate to sublet their apartments to cover their rent.

• Check Facebook Marketplace groups for “[University Name] Sublets.”

• Look for “Intern Housing” programs. Schools like NYU, George Washington University, and others often open their dorms to visiting interns from other schools during the summer months.

2. The “Hacker House” or Co-Living

In tech hubs like San Francisco, Austin, or New York, co-living spaces are designed specifically for short-term stays. You get a furnished room, utilities are included, and you’re surrounded by other ambitious young professionals. It’s an instant networking circle.

3. Negotiate a “Relocation Stipend”

It never hurts to ask. Many mid-to-large companies have a small pot of money set aside for “incidental relocation.” Even $500 or $1,000 can cover the cost of a U-Haul and a security deposit.

“I am 100% committed to this role, but as a student, the upfront cost of short-term housing in [City] is a bit of a hurdle. Does the company offer any assistance or stipends for relocation that I might be eligible for?”

Phase 5: The Mental Health Margin

We need to be honest: A long commute or a sudden move is stressful. It’s easy to start the internship with high energy and end it in week 6 with a “case of the Mondays” that lasts all week.

To survive, you must protect your “Margin”:

• Meal Prep is Non-Negotiable: If you are commuting two hours, you don’t have time to cook dinner when you get home. Spend your Sunday prepping every lunch and dinner. If you don’t, you’ll end up spending your entire internship stipend on fast food and UberEats.

• The “One Night Off” Rule: If you are working a 4/10 schedule or a long commute, your social life will take a hit. Schedule one night a week where you do nothing related to work or school. No emails, no LinkedIn, no “side hustles.” Just rest.

• The Safety Factor: If you are driving two hours each way, sleep is a safety issue. Drowsy driving is as dangerous as drunk driving. If you find yourself nodding off, pull over. No internship is worth a car accident. This is when you go back to your manager and say, “The commute is becoming a safety concern; can we revisit the hybrid conversation?”

Summary: The “Distance” is a Test, Not a Barrier

In the early stages of your career—those 0-5 years of experience—the biggest differentiator isn’t always who is the smartest. It’s often who is the most resilient.

The person who braves the two-hour train ride to work at a prestigious firm is the person who gets the glowing letter of recommendation. The student who moves across the country for a 10-week stint in a new industry is the one who develops a global network before they even graduate.

At College Recruiter, we see it every day: The candidates who are willing to “stretch” their comfort zone (and their commute) are the ones who land the most competitive entry-level roles later on.

Your Action Plan:

1. Do the Math: Calculate the total hours and dollars the commute will cost.

2. The “Ask”: Prepare your pitch for a hybrid or 4/10 schedule.

3. Search the “Middle Ground”: Look for sublets halfway between your home and the office to split the difference.

4. Stay Focused on the “Why”: Remind yourself that this commute is a 10-week sprint, not a 40-year marathon.

Don’t let a long road stop you from reaching a great destination. The office might be far, but your career goals have never been closer.

Still looking for that perfect fit? Explore thousands of internship and entry-level opportunities on College Recruiter today.

AI-generated notes:

Industry experts discussed the evolution of programmatic advertising and the urgent necessity for prioritizing candidate quality.

Programmatic Advertising Evolution
Expertise in automation helped establish programmatic advertising as a cornerstone for modern job board strategies. Data accessibility now empowers boards to provide salary trends and improve candidate engagement.

Addressing Application Overload
Recruiters face paralysis due to extreme application volumes fueled by automated candidate tools. The industry must shift from volume based metrics toward delivering fewer, higher quality applicants.

Future Candidate Strategies
Aggressive outbound scouting is replacing traditional inbound recruiting due to communication failures and spam filtering. Employers increasingly resist third party AI screening tools to avoid potential legal liability.

Next steps

• [Tim Dineen] Demo Product: Show the new business intelligence product to interested attendees. Figure out usefulness for their business operations.

Details

• Meeting Introduction: Steven Rothberg opened the 22nd episode of the Job Board Leaders Round Table, emphasizing the collaborative and collegial nature of the monthly meetings held on the second Thursday of each month (00:00:00). They introduced the guest, Tim Dineen, the head of innovation for Aspen Technology Labs, noting that the session would focus on Tim Dineen’s experience in the job board industry rather than a sales pitch. Participants were encouraged to use the hand-raising feature to maintain an organized discussion (00:01:34).

• Tim Dineen Background: Tim Dineen shared their entry into the industry, which began approximately 20 years ago when they worked as an early employee at Indeed. They explained that their path originated from their background in web development and online marketing, noting that a coworker jokingly called them “Indeed Dineen,” which led them to investigate the site and subsequently apply for a position there (00:03:55).

• Evolution of Programmatic Advertising: Following their time at Indeed, Tim Dineen shifted their focus toward helping employers find talent, leading them to leave Indeed in the spring of 2009 (00:05:48). Along with partners Josh Gampel and Ken Clark, they launched the company Recruitics, where they developed automation for job advertising. They noted that this work, which involved enabling employers to select sources and control budgets for individual job postings, essentially evolved into the programmatic advertising landscape seen today (00:07:13).

• Role at Aspen Technology Labs: Tim Dineen discussed their recent transition to the role of head of innovation at Aspen Technology Labs, which they joined in September after a 16-year run at Recruit (00:09:09). They highlighted the change in perspective, moving from analyzing a single customer’s performance data to having access to comprehensive market data, including the ability to analyze over 10 million job listings at once (00:10:01).

• SEO and Visibility Strategies: Addressing concerns about search engine optimization for smaller job boards, Tim Dineen suggested that while dominating search results like industry leaders is difficult, there is still validity in fundamental strategies such as brand engagement, affiliate programs, and social media (00:11:05) (00:13:11). They emphasized that while AI offers new opportunities, job boards must focus on making their websites valuable to users, as search engines favor sites that provide content beyond basic job descriptions (00:12:07) (00:15:35).

• Utilizing Data for Enhancement: Tim Dineen described how Aspen Technology Labs makes data available through APIs, such as their jobs index and wage APIs, which help job boards provide necessary information like salary data. They argued that enhancing job detail pages with salary information and industry trends creates more value for candidates, which in turn signals to Google that the job board is a destination worth ranking higher (00:14:20).

• The Problem of Over-Application: A major topic of discussion was the issue of recruiters being “flooded” with an overwhelming volume of job applications. Tim Dineen noted that while programmatic advertising made it easier to distribute jobs and generate applicant flow, it has also created a systemic problem where recruiters are burdened by 400 or more applicants per job, many of whom may use AI to match the job description, leading to a difficult screening process (00:18:56) (00:34:03).

• Improving Client Communication: Steven Rothberg pointed out the misalignment between employer budgets and actual hiring needs, noting that employers often provide flat budgets without directing funds toward specific jobs that need support. Tim Dineen and Steven Rothberg agreed that the industry needs to move toward better communication, where employers are more transparent about their hiring needs, allowing job boards to focus resources effectively rather than letting budgets be consumed by jobs that do not require advertising support (00:22:46) (00:25:14).

• Shift to Quality-Based Models: Jim Durbin raised a question about how internal talent acquisition teams can better partner with vendors to move beyond just disposition data (00:23:54). Tim Dineen responded that the industry needs to move away from volume-based models like cost-per-click and cost-per-application, which reward quantity, and instead prioritize quality, even if it means delivering fewer, more highly qualified candidates to employers (00:25:14).

• Performance-Based Pricing Models: Matt Farrah asked whether charging for interviews, offers, or placements—rather than clicks or applications—could solve the quality issue. Tim Dineen acknowledged that while such a model would be beneficial, it is difficult to implement due to subjective criteria for “quality” candidates and the challenge of attributing a single hire to a specific source when candidates may interact with multiple channels (00:27:34) (00:29:49).

• Challenges in Hiring Attribution: Jeff Taylor expanded on the difficulties of performance-based pricing, noting that hiring managers are often unstable participants in the process and that a significant percentage of hires do not stay for long (00:32:04). They argued that paying on a hire is a complex challenge, especially given the ongoing problem of fraud, where companies are increasingly wary of hiring outside candidates without extensive vetting (00:33:02).

• Recruiter Paralysis and AI: Jeff Taylor shared an example of a client in Boston that received 8,000 applications for 40 requisitions, leading to “paralysis” for the nine recruiters responsible for sorting through them (00:36:07). This situation was identified as a breaking point for the industry, where the time spent separating “wheat from chaff” makes it impossible for recruiters to function effectively (00:35:03) (00:37:10).

• AI Usage by Job Seekers: The participants discussed how job seekers are increasingly using AI to tailor resumes to job descriptions, which has raised the floor for application quality but also made it harder for recruiters to distinguish between genuine candidates and those using AI to mimic qualifications (00:38:07). Jeff Taylor noted that recruiters must now act as editors to catch inaccuracies introduced by AI in resumes (00:39:11).

• Future of Job Search: Joe Stubblebine discussed the emergence of AI “career concierge” tools, which act as reverse headhunters and search for jobs on behalf of candidates (00:40:01). They posed the question of whether employers might eventually bypass job boards entirely by having these AI tools send candidates directly to company career sites, a scenario Tim Dineen acknowledged as a real possibility if the industry fails to improve the candidate experience (00:41:16).

• Improving the Job Seeker Experience: Tim Dineen emphasized that the current job seeker experience is poor, characterized by high application volume with very low response rates. They suggested that if the industry does not evolve to solve this, job seekers may stop using job boards and instead find ways to contact hiring managers directly, even if recruiters remain busy and unresponsive (00:42:26).

• Shift to Outbound Recruiting: Jeff Taylor observed a trend of companies shifting from inbound recruiting to outbound “scouting,” where recruiters identify high-quality candidates and engage them directly rather than waiting for applications. They noted that this approach is becoming necessary as job postings are increasingly being used as “cheat sheets” by candidates rather than effective signals of interest (00:46:39).

• Communication Infrastructure Challenges: Jeff Taylor highlighted that traditional communication methods like email are becoming less effective, with low response rates and increasing spam filtering by providers like Google (00:47:47). Jason Gorham added that their organization utilizes omni-channel programmatic strategies to address these communication hurdles rather than relying solely on traditional job distribution (00:49:44).

• Privacy, Bias, and Legal Risks: Steven Rothberg and Tim Dineen discussed the risks of using AI for ranking and screening, citing high-profile lawsuits against companies like Workday and Eightfold.ai (00:50:42) (00:52:53). They noted that while employers demand higher quality screening, they are also becoming increasingly resistant to allowing third parties to use AI on their candidate data due to privacy concerns and the threat of litigation regarding bias and discrimination (00:50:42) (00:54:54).

Wrap-up and Next Guest: Steven Rothberg concluded the meeting by thanking Tim Dineen for their participation and insights (00:56:00). They announced that the next guest for the June 11th meeting will be William Tincup (00:57:12). Tim Dineen encouraged attendees to reach out regarding their new business intelligence product and the data available at Aspen Technology Labs (00:56:00).

Whether you’re looking for a summer internship to round out your resume, a seasonal gig to stack some cash, or that elusive first “real” entry-level role, the landscape has shifted. At College Recruiter, we’re seeing a fundamental change in how companies are hiring—and for the first time in a few years, the momentum is swinging back toward the candidate.

But don’t just take my word for it. Let’s look at the hard evidence. Here are 10 specific signs that the early-career job market is not just “stabilizing,” but actively improving this spring.

1. The Internship “Lead Indicator” is Up 3.9%

In the world of hiring, internships are the “canary in the coal mine.” When companies are scared, they cut the intern budget first. When they see growth on the horizon, they ramp it up.

According to the NACE 2026 Internship & Co-op Report, employers expect to hire 3.9% more interns this year compared to last. This is a massive reversal from the contraction we saw in 2025. What does this mean for you? It means companies are no longer in “defensive mode.” They are building their 2027 and 2028 leadership pipelines today. If you are looking for an internship right now, you aren’t just a “helper”—you are a strategic asset that companies are competing for.

2. Entry-Level Roles are Outperforming Mid-Level Slots

For a while, “entry-level” felt like a dirty word. Companies were obsessed with “senior” talent, often leaving new grads in the lurch. But the tide has turned. Recent LinkedIn data from April 2026 shows that while mid-level hiring has dipped by 10% year-over-year, entry-level hiring has only slipped by 6%.

Wait—how is a 6% dip “good news”? Because it shows resilience. In a volatile economy, employers are realizing that hiring “proven” talent at inflated salaries isn’t sustainable. They are pivoting back to the “hire and train” model. They want your energy, your tech-fluency, and your lower overhead. You are officially the “safe bet” for budget-conscious departments.

3. The “Spring Surge” is the New Fall Recruiting

Remember when you were told that if you didn’t have a job offer by Thanksgiving of your senior year, you were doomed? In 2026, that rule is officially dead.

Recruiters have shifted a huge chunk of their activity into the spring. Currently, 37% of full-time hiring and 27% of internship hiring for the year is happening right now in Q2. Companies are being more “surgical” and hiring closer to the actual start date to ensure their budgets are locked in. If you’re just starting your search on College Recruiter this April, you aren’t late—you’re perfectly on time for the biggest hiring wave of the year.

4. The “GPA Guardrail” has Finally Crumbled

For decades, a 3.5 GPA was the invisible wall standing between you and a top-tier job. Not anymore. In 2026, only 42% of employers are using GPA as a primary screening tool—a staggering drop from over 73% just a few years ago.

Employers have finally admitted what we’ve known all along: a “B” in Advanced Macroeconomics doesn’t tell them if you can solve a real-world problem. Instead of looking at your transcript, they are looking at your profile for projects, certifications, and “durable skills.” They want to know what you can do, not how well you can take a mid-term.

5. Skills-Based Hiring is Now the “Gold Standard”

Nearly 70% of employers have officially moved to a skills-based hiring model this year. This is the ultimate “power move” for early-career candidates with 0-5 years of experience.

Why? Because it levels the playing field. If you spent your weekends mastering Python, learning 3D rendering, or managing a high-volume retail team, that “skill” now carries more weight than the name of the school on your diploma. The Q2 market is flooded with “Skills-First” job descriptions. When you see a posting that asks for “Proficiency in [X]” rather than “Degree from [Y],” that’s your signal to jump in.

Pro-Tip: On your profile, don’t just list your major. List your “Project Stack.” Did you use SQL for a class project? That’s a skill. Did you use Canva to run a club’s social media? That’s a skill. The 2026 recruiter is scanning for keywords, not prestige.

6. Industry “Hot Zones” are Expanding

While some sectors are still cooling off, others are in an absolute hiring frenzy. If you feel like the market is slow, you might just be looking in the wrong room. In Q2 2026, four industries are leading the charge:

• Finance: Boasting a 32% Net Employment Outlook. They are hiring for everything from analysts to customer-facing roles.

• Construction & Real Estate: Infrastructure projects are booming, and they need project coordinators, junior engineers, and site managers.

• Health & Social Services: This sector saw a 5-point jump in hiring sentiment this quarter—the most improved of any industry.

• Tech (The Recovery): While the “Big Tech” layoffs made headlines in ’24 and ’25, the “Mid-Market” tech firms are back in growth mode, specifically in AI-integration roles.

7. The “AI Panic” has Turned into “AI Partnership”

A year ago, everyone was worried AI would steal all the entry-level jobs. In 2026, the data says otherwise. Over 61% of employers report that they are not replacing entry-level roles with AI. Instead, they are looking for “Superworkers”—candidates who know how to use AI to do their jobs faster.

The improvement in the market comes from this clarity. Employers are no longer “waiting to see what AI does.” They are hiring people who can prompt, audit, and manage AI tools. If you can show a recruiter that you use AI to streamline your workflow, you aren’t a threat; you’re the solution they’ve been waiting for.

8. The “Hybrid Sweet Spot” has Been Found

The “Return to Office” wars of 2024 and 2025 have finally settled into a peace treaty. In 2026, 50% of entry-level roles are hybrid, while 43% are fully in-person.

This is a massive improvement for early-career seekers because it offers the best of both worlds: the flexibility you want and the mentorship you actually need. One of the biggest complaints of the “Zoom era” was that new hires felt isolated. The Q2 2026 market is offering roles that actually value your professional development through face-to-face interaction, without demanding you sit in a cubicle 40 hours a week.

9. Small and Mid-Sized Firms are the New “Power Employers”

For a long time, the “Fortune 500” dominated the early-career conversation. But in Q2 2026, the real action is happening at companies with 50 to 500 employees.

These firms are increasingly using performance-based hiring platforms (like College Recruiter) to find specific talent without the bureaucratic “red tape” of massive corporations. They are hiring faster, offering more responsibility earlier, and—crucially—they are actually reading your cover letters. If you see a company you’ve never heard of posting a role that matches your skills, apply. They are the ones driving the 2026 hiring rebound.

10. Performance-Based Technology is Matching You Better

Finally, the technology behind your job search has improved. Platforms like College Recruiter have moved toward “Double Opt-In” and “Pay-per-Application” models.

What this means for you: It means the “Ghost Jobs” (postings that stay up for months but never hire) are disappearing. Because it costs employers more to keep a non-performing ad up, they are only posting when they have a real, immediate need. If you see a job live on our site today, May 14, 2026, there is a high probability that a human is sitting on the other side waiting for your application. The “noise” is being filtered out, leaving you with higher-quality opportunities.

How to Win the Q2 2026 Market on College Recruiter

Knowing the market is improving is half the battle. The other half is making sure you’re the one getting the offer. Here is your “Q2 Action Plan”:

Optimize for the “Surgical” Recruiter

In 2026, recruiters are “segmenting” candidates by critical skills. Don’t send a generic resume. If the job description mentions “Data Visualization” and “Conflict Resolution,” those two terms need to be in your first paragraph. Use a “Skills-Based Resume” format—bold your capabilities at the top so a recruiter can see your value in 6 seconds or less.

Lean Into “Durable Skills”

While technical skills get you the interview, “durable skills” (what we used to call soft skills) get you the job. In a world of AI, employers are desperate for:

• Agility: Can you learn a new tool in a week?

• Emotional Intelligence: Can you handle a difficult client on a Friday afternoon?

• Integrity: Can we trust you with remote access to our data?Highlight these in your “About Me” section or your interview stories.

Use the “Network of Equals”

LinkedIn’s 2026 data shows that 44% of Gen Z feels a lack of networking is their biggest barrier. But in 2026, networking isn’t about “golfing with the CEO.” It’s about the “Network of Equals.” Connect with other people who have held the internship you want. Ask them for the “unfiltered” version of the interview process.

The Bottom Line: Your Time is Now

The job market of 2026 isn’t the “wild west” of 2021, and it isn’t the “doom and gloom” of 2023. It is a selective, skills-driven, and stabilizing market that rewards preparation over prestige.

If you’ve been feeling discouraged, let these 10 signs be your “green light.” The internship numbers are up, the GPA barriers are down, and companies are actively looking for the fresh perspective that only an early-career professional can bring.

The music hasn’t stopped—it’s just started a new, more rhythmic beat. So, update your profile, polish those project descriptions, and get your applications in. The “Spring Surge” is here, and your next career move is just a click away.

Ready to find your match? Start searching the latest Q2 openings on College Recruiter today.

You didn’t get the callback. You won’t know why. And that’s exactly the problem.

Somewhere out there, a hiring manager you’ve never met pulled up Google, typed in your name, and made a decision about your future in roughly the time it takes to microwave leftovers. You didn’t get to explain the photo. You didn’t get to add context to that tweet from sophomore year. You didn’t get a chance at all. They just moved on to the next resume, and you got a form email three weeks later. If you got one at all.

This isn’t paranoia. This is math. And the numbers are worse than you think.

Seventy percent of them are already looking. Fifty-seven percent have already rejected someone.

Let’s not dance around it. A CareerBuilder survey found that 70% of employers use social networking sites to research job candidates. 57% of those employers have found content that caused them not to hire someone. The Society for Human Resource Management reported that more than a third of employers rejected candidates in a single year based on what turned up in a public social search. A 2025 Veremark analysis found that 61% of employers who conduct social media screening have reconsidered or withdrawn a job offer based on what they discovered.

Translation: if you’re applying to ten jobs, the math says roughly seven hiring managers are going to scroll your Instagram before they ever decide if you deserve a human conversation. And of those seven, at least three or four are already primed to knock you out on vibes alone.

What gets you cut? The list is depressingly consistent across every survey ever run. CareerBuilder’s data is clear: provocative photos, evidence of heavy drinking or drug use, discriminatory comments, trash-talking a previous employer, lying about qualifications, and bad writing. Yes, bad writing. Your misspelled rants count as “poor communication skills.” That alone can end you.

IT (74%) and manufacturing (73%) lead the pack in screening rates. But don’t comfort yourself with industry exceptions. Sales does it. Finance does it. Healthcare does it. Retail does it. The in-house recruiter at that nonprofit you romanticize? She’s got your handle pulled up in a second tab right now.

They are never going to tell you what killed your application.

Here’s the part that should genuinely unnerve you: employers have a massive legal incentive to lie to you about why they rejected you.

When a recruiter looks at your profile, they are guaranteed to see things they are legally forbidden from considering. Your race. Your religion. Your age. Whether you might be pregnant. Whether you have a disability. Whether you’re queer. Once they’ve seen it, they’ve seen it. They can’t unsee it. And if they reject you, you could theoretically sue them for discrimination. Employment attorney Julie Pace and other legal experts have been sounding alarms about this for years. The smart HR play, the one lawyers literally coach, is to never, ever tell you the real reason.

So, what do you get? “We’ve decided to move forward with other candidates.” “We went with someone whose experience more closely aligned with our needs.” Or the most common one: nothing. Radio silence. A black hole where your application used to be.

There’s one sliver of legal protection. If an employer uses a third-party consumer reporting agency to run a formal social media background check, the Fair Credit Reporting Act requires them to tell you, show you what they found, and let you dispute it. But most employers don’t bother with formal services. They just Google you. And that informal Googling falls into a complete legal gray zone where you have approximately zero right to know anything.

The silence is the system working exactly as designed.

The same profiles that sink you could also save you.

Now flip the script. A 2023 ResumeBuilder survey found that 74% of hiring managers use social media to evaluate candidates, and they’re not just hunting for red flags. They’re also looking for reasons to say yes. A CareerBuilder number hit even harder: 47% of employers are less likely to interview someone they can’t find online at all.

Read that again. Having no digital presence is treated almost as suspiciously as having a bad one. You’re not just being judged on what you post. You’re being judged on the professional ghost you left unbuilt.

LinkedIn, in particular, isn’t optional anymore. It’s the professional equivalent of showing up to an interview in a collared shirt. If your LinkedIn is blank, your GitHub is empty, and your Behance doesn’t exist, you’re not maintaining neutrality. You’re broadcasting that you don’t take your own career seriously.

That political post you were proud of in 2022? It’s a ticking bomb.

A 2024 University of Colorado study led by business professor Jason Thatcher confirmed what you already suspected: posting about politics can cost you jobs. Across the political spectrum. In Thatcher’s words, “If you post a really inflammatory comment about immigration, be it conservative or liberal, if I’m on the hiring side, I sometimes ignore all the other information that I find about your ability to do the job.” One post can outweigh your entire resume.

In September 2025, NPR documented at least 33 people who lost jobs or faced termination over social media posts about the death of conservative activist Charlie Kirk. Teachers. Firefighters. A sports reporter. An employee of the Carolina Panthers. A city council official. One post. Career consequences.

And don’t lean on the First Amendment. It protects you from the government. It does not protect you from a private employer in an at-will state, which is almost all of them. A few states (California, New York, Colorado) offer limited protection for lawful off-duty political activity. Most don’t.

The real killer is time. What felt righteous in 2020 might read as extremist in 2026. What seemed edgy in 2018 might seem cruel now. The political winds shift. Your posts don’t. They sit there, perfectly preserved, waiting to be interpreted by a hiring manager whose values you can’t predict.

Deleting it won’t save you. Deleting it has never saved anyone.

Here’s the myth that’s costing people jobs: the belief that “delete” actually deletes anything.

Screenshots exist. The moment you post, anyone who sees it can capture it forever, independent of you. Tags persist. Your friend’s photo of you doing something stupid lives on their profile, not yours. Untagging doesn’t remove it from their account. The Wayback Machine is watching. The Internet Archive has systematically preserved more than a trillion snapshots of the public web. Your deleted tweet might still be one archive search away. Data brokers sell everything. Specialized companies scrape your online activity and sell the packaged results to employers running background checks.

Clean up your accounts, absolutely. But understand that you’re doing damage control, not erasing history. Prevention is the only strategy that actually works.

What to do, starting tonight.

Audit yourself before they do. Google your full name on Chrome, Safari, and an incognito window. Look at the first three pages. That is your resume. Then log into every account you’ve ever opened, including the Tumblr you forgot about, and scrub anything embarrassing. Untag ruthlessly.

Lock down every personal account. Private mode on Instagram, Facebook, TikTok, Snapchat, and X. Turn on tag approval so nothing gets posted to your wall without your permission. 

Set a Google Alert on your own name. Type your name in quotes and get emailed every time new content mentions you. This is your early warning system for disasters you didn’t cause.

Build the LinkedIn profile you’d hire. Professional headshot. A headline that names your target role, not just your major. A 3 to 5 sentence About section that says what you actually bring. At least 10 skills. Two to three recommendations from professors or supervisors. Every internship, every part-time job, every leadership role on campus.

Create proof of skill they can find. A portfolio on GitHub Pages. A Substack where you write about your field. A curated professional X account where you engage with people in your industry. If you’re technical, your GitHub activity graph is your resume.

Apply the grandma-boss-journalist test before posting anything. Would you be comfortable if your future boss, your grandmother, and a journalist all saw this at the same time? If not, don’t hit post. This isn’t about censoring yourself. It’s about understanding that the internet has no tone, no context, and no expiration date.

Drown out the bad with the good. If you have negative content you can’t fully delete, publish enough professional work to push it off the first page of results. Google’s Refresh Outdated Content tool can help with things that are already gone from the source. And if an interviewer ever asks about something ugly in your past, own it, name what you learned, and show growth. That answer beats denial every single time.

Start now. Your future self already knows you should have.

The system isn’t on your side. Recruiters are screening with no obligation to tell you what they found. Platforms are archiving everything you thought was ephemeral. A photo from a party four years ago could quietly close doors you don’t even know exist yet.

But you have one real advantage: you still have time. You’re in college, which means your professional digital identity is mostly unwritten. You get to decide what the recruiter finds when they type your name into that second tab.

So decide. Before the tag from that forgotten night becomes the reason you never got a callback.

Start tonight. Start now.

– Jim Stroud is a Career Intelligence Analyst, labor market strategist, and Head of Market Strategy & Industry Engagement at ProvenBase. With more than two decades of experience spanning roles at Microsoft, Google, and Randstad Sourceright, he specializes in uncovering hidden labor market dynamics, early hiring signals, and off-market talent strategies.

He is also the publisher of The Recruiting Life newsletter, which focuses on labor trends and the future of work, Career Intelligence Weekly,which tracks the hidden job market, and host of The Jim Stroud Podcast, which provides commentary on the world of work. He is also an international conference speaker, job search workshop facilitator for college students, and author of multiple books on career strategy and recruiting.

Resume? Check. Cover letter? Check. But don’t let a bad reference ruin your job search. In this episode of the From Dorms to Desks Podcast, our cohosts breakdown advice from career expert Vicki Salemi on how to build a squad of professional advocates. We discuss avoiding the dreaded “HR Vault,” how to properly ask for permission, and why you need to send a “tip sheet” to help your former bosses sell your skills.

Key Takeaways:

• Who Counts: Why professors and volunteer leads can be just as strong as former bosses.

• The “No Surprise” Rule: Why you must clear it with your contacts before listing them.

• The Tip Sheet: How to refresh their memory with a list of your recent wins.

• Maintenance: Why staying in touch is crucial for future opportunities.

Read the full article at College Recruiter or listen at:

As new graduates embark on their career with excitement and anticipation, it’s possible that they may face some unexpected challenges. The job market is challenging right now, and the latest figures from the Federal Reserve Bank of New York suggests that the unemployment rate for new graduates is 5.7%, above the overall national average of 4.3%. 

For those new graduates who do find a job quickly, they may find the starting salary offered may be far lower than they expected. These challenges have led many new grads to get creative after college. In fact, new graduates may end up juggling not only a new full-time job, but also a side hustle or gig work just to pay their bills. While this may be a different path than some had planned, it may be the reality for many. However, with strategy and resilience, it’s possible to balance these two things and even turn them into stepping stones leading to bigger and better opportunities in the future.  

The Economic Reality Facing New Graduates 

Economic uncertainties, inflationary pressures, and student loan debt are impacting workers in many ways. According to Zety’s internal resume template data, student loans and debt actually shape career choices, including over a third of workers taking on side gigs just to make ends meet. This may only grow in the coming years as there has been a rise in underemployment in graduates working jobs that don’t require their specific degree. Furthermore, in that same report, 37% of workers indicated that they accepted a job they didn’t want just to be able to pay down some of their debt. 

These economic uncertainties coupled with a gap between compensation, student debt and rising unemployment of new grads, new professionals risk experiencing burnout and frustration as a result of these challenges. 

Why “First Jobs” May Not Pay Enough 

The last few years have shifted the work landscape in incredible ways. First, in 2020, the pandemic upended many industries and catapulted people into remote work almost overnight. Over the last two years, AI technologies have exploded leading to shifts in how work is completed. This has impacted the entry level roles graduates rely on most directly.  

These shifts have also led to a more saturated job market and stagnated wages relative to inflation, making our dollars not go as far. Furthermore, many new professionals aren’t confident yet in their negotiation abilities when it comes to salary and compensation negotiation discussions. The long held (and outdated) belief by many that you have to “pay your dues” only serves to worsen the problem. The reality is that if you choose not to counter offer a salary package even as a new professional, you risk leaving money on the table. 

The Rise of Side Hustles

The result of these uncertainties, as well as the wage gap between debt and salaries, means that people are getting creative in how they work to make up the difference. Over the last several years, side hustles have become less about doing the work as a creative outlet or hobby, and more about a means to an end. In fact, for 38% of workers, finding an additional part-time job, or side hustle is a key way to make progress in paying down debt, and a strategy to contribute to personal savings. 

In addition to potential financial benefits, side hustles offer the ability and opportunity to upskill, network, and give people exposure to entrepreneurship. Each of these can help in future, full-time endeavors as well. Upskilling shows employers you take initiative and have a growth mindset. Networking opens the door for new conversations and opportunities that may not have otherwise existed, and finally, because side hustles can be independent contractor roles, you’ll gain experience in owning your own business. 

While the benefits of a side hustle are great, there are some challenges with taking on a part-time job while also working full-time. With two jobs, there is more of a risk of burnout because more of your time is spent at work. Even if your side hustle is something you really enjoy, there could still be blurred lines between your personal time and work, which can contribute to burnout and other issues like anxiety. Data supports this, as 7 in 10 Gen Z workers say that burnout is a real issue for them because of being overworked. 

Strategies to Thrive as a New Graduate

If you find yourself contemplating adding a side-hustle to your current workload, it’s important to have a plan in place to manage some of the challenges. With some thoughtful planning, you can ensure you are setting yourself up for success in both your full-time and part-time jobs. Here are suggestions for success; 

• Make a budget and track your cash flow and expenses.

• Choose a side-hustle that aligns with your long-term career goals to help you build career credentials. 

• Be realistic about your time commitment to a side-hustle.

• Negotiate salary and pay ranges through practice and research. 

• Set strong boundaries and find activities that help reduce anxiety and manage stress. 

By outlining your budget, your goals, and understanding your time constraints, you will have strategies in place to help you minimize your risk of experiencing burnout and increased anxiety. 

Turning Short-Term Struggles Into Long-Term Gain

Your first role out of college may not meet your salary expectation, however, this is only temporary. This experience is also an opportunity for you to learn more about your industry and career choice. In your role, you’ll be able to expand your network and test your career interests. All of this is valuable information to have as you move forward in your career to make sure you are making the right decisions for you and the goals you have set. 

Employers ultimately control compensation plans, larger economic issues impact each of us and employers respond to those pressures accordingly. Keeping a positive mindset during this transitional time in your life is important. Reframing feelings of being in survival mode to something that is manageable and beneficial in terms of skill-building, networking and career growth will pay off in the long run. 

Starting your career is an exciting time even with the challenges that come with it. Your value isn’t defined by your paycheck, and building your career in a sustainable way is a journey that takes time. Using a side-hustle as a strategy to manage your early career season has many benefits that will pay off in future career endeavors. Managing your time along the way ensures that you will be able to enjoy these benefits, rather than simply “survive” the challenges that come with being an early career professional.

Engineering is far more than a collection of formulas or the ability to apply mathematics. It is humanity’s most powerful tool for transforming abstract ideas into tangible reality. While math, science and rigorous analysis are foundational, the real work of the future happens at the intersection of technical expertise, creativity and social impact. As an engineer, you will not simply solve today’s problems — you will invent tomorrow’s possibilities. 

Engineering for the Work of the Future 

In today’s world, engineers are not just designing products; they are building the infrastructure for a safer, healthier and more sustainable future. Nearly every object, system or experience you interact with exists because an engineer identified a need and dared to innovate. 

Preparing for an engineering career means understanding how the field is addressing some of the world’s most urgent and complex challenges: 

• Infrastructure and Mobility: Beyond bridges and roads, engineers are reimagining autonomous systems, robotics, smart cities, workplaces of the future and seamlessly connected environments that accelerate the journey from idea to lived experience. 

• The Digital Frontier: Engineering is driving the full digital spectrum — from next-generation devices and immersive virtual environments to quantum computing, edge AI, and the platforms powering the next industrial revolution. 

• Healthcare Transformation: Engineers form the backbone of modern medicine, developing surgical robotics, diagnostic tools, medical imaging, prosthetics, wearable and telehealth technologies that expand global access to care. 

• Sustainability and Safety: Engineering is on the front lines of addressing climate change, biodiversity loss, plastic pollution, clean energy, resilience and online safety for future generations. 

• Sports and Recreation: Engineers design stadiums, fitness equipment, high-performance sports gear, emerging sports experiences, virtual competition platforms and data analytics that enhance performance and engagement. 

• Emerging Intelligence: Engineers harness big data and artificial intelligence to solve complex problems and promote sustainable development. AI must be integrated into nearly everything we design — with a clear understanding of how it can help, harm, and reshape the future. 

Exploring the Disciplinary Landscape 

Although there are over 200 distinct engineering disciplines, most grow from four foundational pillars: 

• Mechanical Engineering: Designing machines and systems — from engines and advanced manufacturing to robotics and automated systems. 

• Electrical Engineering: Harnessing electricity and electromagnetism to power circuits, communication networks, control systems and global infrastructure. 

• Civil Engineering: Designing, constructing, and maintaining the built environment, including buildings, transportation systems, water resources and resilient infrastructure. 

• Chemical Engineering: Applying chemistry and biology to transform raw materials into pharmaceuticals, advanced materials, clean fuels and sustainable products. 

In addition, many interdisciplinary and specialized fields continue to grow, including: 

• Biomedical Engineering: Combining engineering, biology and medicine to develop medical devices, prosthetics, imaging systems and tissue-engineering solutions. 

• Environmental Engineering: Designing systems for waste management, pollution control, water treatment, and sustainable development to protect and improve the environment. 

• Industrial Engineering: Optimizing complex systems involving people, technology, logistics and supply chains — blending engineering with business and human factors. 

Engineering also spans systems engineering, robotics, nuclear engineering, agricultural engineering, marine engineering, automotive engineering and many other specialized areas. 

The future of engineering is increasingly interdisciplinary, AI-driven and entrepreneurial. Learning is merging with creating — even while you are still in school. Rather than focusing narrowly on a single discipline, you may find strength in building a unique combination of skills and experiences that demonstrate what you can design, build, and lead. 

Key Traits and Skills of Successful Engineers of the Future 

Successful engineers develop both technical mastery and interpersonal agility. Technical skill and attention to detail are essential — but they are only the starting point. 

The engineers who lead the future consistently demonstrate: 

• Adaptability: Staying flexible as tools, technologies and industries evolve at remarkable speed. 

• Curiosity: A drive to explore new ideas, trends, and technologies. Engineers must practice innovating and creating — not just memorizing facts. 

• Creativity and Innovation: Approaching problems in new ways while designing and improving products, processes and systems. 

• Collaborative Teamwork: Sharing ideas and working effectively in multidisciplinary and multicultural environments. 

• Clear Communication: Explaining complex technical solutions to non-technical audiences, decision-makers and stakeholders. 

• Problem Solving: Analyzing complex challenges and delivering practical, impactful solutions. 

Choosing a Program That Launches a Career — and a Lifetime of Fulfillment 

The right engineering program does more than prepare you for exams; it launches your career through immersive, hands-on experiences, strong mentoring and real-world impact. 

When evaluating engineering programs, look for these indicators of quality: 

• Hands-On Exploration and Mentorship: Opportunities for faculty-led research, design projects, and direct access to professors with deep industry and research expertise. 

• Industry Connections: Strong internship pipelines, professional networking, entrepreneurial support and pathways that bridge education and the workforce. 

• Flexibility: Programs that evolve with emerging careers and allow you to explore, create and customize your academic path. 

• Career Support: Assistance with internships, job placement, résumé development, interview preparation and professional growth. 

• Accreditation: Recognition that ensures a rigorous, high-quality engineering education. 

Engineering is one of the most rewarding paths you can choose — a career where your work directly improves lives and shapes the world. The challenges ahead are immense, but the tools at your disposal have never been more powerful. With curiosity, creativity and the right foundation, you will not just find a job — you will build a future. 

Engineering is no longer confined to equations, blueprints, or isolated technical expertise. It has evolved into one of the most dynamic and influential forces shaping the modern world. Today’s engineers operate at the intersection of innovation, creativity, and real-world impact, transforming ideas into solutions that touch every aspect of daily life. From designing resilient infrastructure and advancing healthcare technologies to building intelligent systems and tackling climate change, engineering is driving the future forward at an unprecedented pace. 

As industries rapidly evolve, so too does the role of the engineer. Success in this field now demands more than technical mastery. It requires adaptability, curiosity, and the ability to collaborate across disciplines. Engineers are not just problem solvers. They are visionaries who anticipate challenges, create opportunities, and build systems that improve lives on a global scale. Whether working in robotics, sustainable energy, artificial intelligence, or biomedical innovation, the next generation of engineers will play a critical role in shaping a safer, smarter, and more connected world.