College in the Age of AI: The New ROI Math Every Parent Needs

For two generations, American families operated on a single, unquestioned formula: a four-year college degree equals economic security. That formula is breaking down in real time. On May 12, 2026, AI futurist and Generation AI author Matt Britton joined FOX 32 Chicago to address the question keeping parents of high school seniors up at night. Is a traditional college degree still worth the price tag in the age of artificial intelligence?

Britton's answer is direct. The old assumptions no longer hold, and the families who treat 2026 like 2006 are setting their children up for a brutal collision with a transformed economy.

The stakes have never been higher. Americans now owe $1.84 trillion in federal and private student loan debt as of the fourth quarter of 2025, up 3.2% from the fourth quarter of 2024. Meanwhile, the labor market that was supposed to justify that borrowing is contracting. The unemployment rate for recent college graduates hit 5.7% in the fourth quarter of last year, a four-year high, and the Class of 2026 faces a similarly daunting outlook. The graduates with the most debt are entering the toughest entry-level market in over a decade, and they are doing it just as AI begins absorbing the white-collar tasks that used to launch careers. LendingTreeKAJA

This is a generational decision compression event, and it deserves a clear-eyed framework. Matt Britton, whose bestselling book Generation AI has become required reading for parents and executives navigating the AI transition, offered exactly that on FOX 32. What follows is the deeper analysis behind his on-air remarks.

The Old College ROI Formula Is Breaking Down in Real Time

For most of the last fifty years, the math on college was simple. Borrow now, earn more later, and the lifetime wage premium covered the debt with plenty of room to spare. That premium has not disappeared, but the variance around it has exploded. The average outcome looks fine. The downside outcomes look catastrophic.

Consider the cost side first. 47% of the class of 2024 bachelor's degree recipients who graduated from four-year public and private nonprofit colleges had student loan debt, leaving school with an average of $29,560 in federal and private student loan debt. Those who graduated from private nonprofits had an average of $34,420 in debt, while those from public colleges had an average of $27,420 in debt. Those are averages. Graduate and professional programs push individual balances into six figures routinely. LendingTree

Now layer in the repayment environment. Over 17 percent of student loan borrowers have fallen at least 90 days past due on their payments at least once. Roughly 1 million federal student loan borrowers defaulted during 2025:Q4, with an additional 2.6 million borrowers defaulting during 2026:Q1. The pandemic-era payment pause is fully unwound, collections have resumed, and a generation that was promised a soft landing is discovering that wages and forgiveness programs are not catching them. Liberty Street EconomicsLiberty Street Economics

Britton's point on FOX 32 was not that college is worthless. It was that the question itself has shifted. The right framing is no longer "should my kid go to college." The right framing is "what is this specific degree, at this specific school, at this specific price, training my kid to do in an economy where AI is taking the entry-level rung of the ladder away?" Families who answer that question well will be fine. Families who default to the 2006 playbook will pay for a credential whose market value is quietly evaporating.

Why the Jobs of 2030 Don't Exist Yet

The single most disorienting fact about the current moment is that the labor market is being rebuilt while teenagers are choosing their majors. The job categories that will dominate the late 2020s and early 2030s have not been named yet. Most of them do not have job boards, salary benchmarks, or college majors mapped to them.

This is a recurring pattern in technology transitions. Social media manager did not exist as a role in 2005. Cloud architect did not exist in 1995. Prompt engineer, AI agent designer, and AEO strategist did not exist three years ago. The people who win in transitions like this are not the ones who picked the right pre-existing major. They are the ones who built a base of capability that lets them adapt as new categories emerge.

That has profound implications for how parents should evaluate a four-year investment. A degree is not a job. A degree is an option on a future labor market that nobody can fully see. The schools and majors most likely to pay off are the ones building durable, transferable capability rather than training students for jobs that may be substantially automated by the time they graduate.

For deeper context on how AI is restructuring the workforce, Matt Britton's AI keynote presentations walk Fortune 500 audiences through the same framework he uses with his own four children, two of whom are currently in college.

The Two Winning Paths: Creativity or Deep Technology

On FOX 32, Britton offered the clearest articulation of his career framework for the AI era. The winners in this economy will go deep in one of two directions. Everyone else is at risk.

The first path is creativity. Storytelling, leadership, design, entrepreneurship, brand building, taste-making. These are the human capabilities that AI augments but cannot fully replicate. A junior copywriter producing average work is in trouble. A creative director who can use AI to ship ten times more work at a higher conceptual level is in the best position of their career. The same logic applies to product designers, founders, performers, and anyone whose value compounds with audience, taste, or originality.

The second path is deep technology. AI engineering, machine learning, robotics, cybersecurity, applied data science. These are the people building, deploying, and securing the systems that everyone else will depend on. Demand is structural, not cyclical, and the supply of genuinely capable practitioners is years away from catching up to the need.

The danger zone is the middle. The generalist analyst, the junior associate, the entry-level marketer running standard playbooks, the back-office coordinator processing standard documents. These roles were the historical entry points to white-collar careers, and they are exactly the roles most exposed to automation. A 2024 unemployment study found AI exposure now functions as a measurable predictor of job displacement risk across occupations.

Britton's guidance to parents is to push their kids toward a clear edge, not toward the comfortable middle. The middle was a safe bet for thirty years. It is now the riskiest position on the board.

Why Trade Schools Are No Longer a Plan B

One of the most counterintuitive shifts of the AI era is the rehabilitation of the trades. For decades, vocational training was treated as a fallback for kids who could not get into a four-year school. That framing is now backwards.

Nearly 9 in 10 graduates are worried artificial intelligence will replace entry-level roles, and just 1 in 3 say college is preparing them to use AI in the workplace. That concern is pushing some students toward careers seen as more resistant to automation. Career expert Vicki Salemi notes that there are certain jobs that are more AI-proof than others, more along the lines of frontline workers in terms of mechanic, electrician, plumber, and nurse. KAJAKAJA

The economics back this up. A skilled electrician completes a paid apprenticeship in roughly four years, graduates without debt, earns a six-figure income in many markets, and operates a business that cannot be offshored, automated by a chatbot, or replaced by a software update. Compare that to a four-year degree in a soft major with $40,000 of debt and a 5.7% unemployment rate at graduation. The traditional hierarchy of prestige has inverted the actual economics.

This does not mean every teenager should become a welder. It means the binary of "college or failure" is dead. The honest version of the conversation is that trade school is a high-ROI path for many kids who would otherwise pay full sticker for a degree with weak labor market signal. Britton has been making this case for several years, and the data has finally caught up to the argument.

AI Won't Replace You, But People Using AI Will

Britton's signature line on the FOX 32 segment is one he has used across his keynote tour. "AI is not going to replace everyone, but people using AI will replace people who don't." It compresses the entire workforce question into a single test. Are you the person operating the new tools, or are you the person being operated on by them?

This applies as much to mid-career professionals as it does to high school seniors. A forty-five-year-old marketing director who cannot use ChatGPT or Claude to draft, analyze, and ideate at speed is competing with a thirty-year-old who can. A lawyer who has integrated AI into research and drafting is producing three times the leverage of one who has not. The wage premium is no longer flowing to the degree. It is flowing to the demonstrable workflow.

The practical implication for adults already in the workforce is that the highest-ROI investment of 2026 is not another graduate degree. It is two hundred hours of deliberate practice with the current generation of AI tools, applied to actual work problems. Britton's preferred method, which he described on air, is to ask the AI for step-by-step instructions on a real project and to refuse step two until step one is complete and understood. After roughly seventeen or eighteen steps, the pattern clicks and the leverage compounds.

This is the same operating philosophy behind the consumer intelligence platform Suzy, which Britton founded and continues to lead. The companies extracting the most value from AI right now are the ones treating it as a daily practice for every employee, not a special initiative for a small team.

Key Takeaways for Parents and Business Leaders

ActionRationaleStop treating college as a default, treat it as an investment with an underwriting modelThe $1.84 trillion debt overhang and 5.7% recent-grad unemployment rate make sticker-price decisions financially dangerousPush high school seniors toward the edges, creativity or deep technology, not the middleEntry-level analytical and administrative roles are the most AI-exposed and the historical on-ramp is closingTreat trade school as a legitimate first-choice path, not a fallbackSkilled trades are AI-resistant, debt-light, and command structural demandMake AI fluency a non-negotiable for every member of the family, including parentsThe wage premium is shifting from credentials to demonstrable AI-augmented workflowUse Britton's step-by-step learning method to build real AI capability in under thirty daysOne project, one step at a time, no shortcuts, until the pattern clicks

Frequently Asked Questions

Is a four-year college degree still worth the cost in 2026?

It depends entirely on the school, the major, and the price. A degree in deep technology or a creative discipline at a school with strong AI infrastructure, paid for without crippling debt, is still one of the best investments a family can make. A general-studies degree at a high-sticker school funded by six-figure loans is a risky bet in a labor market where recent-graduate unemployment has hit a four-year high and entry-level roles are being absorbed by AI.

What jobs are most AI-resistant in 2026?

The most AI-resistant roles fall into two categories: skilled trades that require physical presence and judgment (electricians, plumbers, mechanics, nurses), and high-end creative or technical work where human originality and deep expertise compound (founders, designers, AI engineers, cybersecurity specialists). Roles in the middle, generalist white-collar work running standard playbooks, are the most exposed.

Should my child skip college and learn AI instead?

Not necessarily skip, but reframe. The goal is capability, not credentials. If your child can build a credible portfolio of AI-augmented work, ship real projects, and demonstrate fluency with current tools, that portfolio will carry more weight with employers in 2030 than a generic bachelor's degree. The strongest path is often to combine both, treating college as a place to build a network and a base while doing serious AI work on the side.

How can adults in mid-career learn AI without going back to school?

The fastest path is to pick one real work problem and use ChatGPT, Claude, or another frontier model to solve it step by step. Britton's rule is to ask the model for instructions one step at a time, refuse the next step until the current one is complete and understood, and stay with it through approximately seventeen or eighteen steps. By that point, the underlying mental model clicks and the same approach transfers to every other domain.

The Bottom Line for Parents Right Now

The college conversation has changed permanently. The families who recognize this and adjust their decisions accordingly will produce kids with options, leverage, and earning power. The families who treat 2026 like the world their own parents made decisions in will saddle their kids with debt for a credential whose value is quietly compressing.

As Britton put it on FOX 32, AI is going to seep into every corner of business, culture, and society. The question is not whether to engage. The question is how fast, how deliberately, and with what underwriting discipline. Matt Britton has spent the past three years helping Fortune 500 leaders, parents, and students answer exactly that question through his keynotes, his national bestseller Generation AI, and his work on The Speed of Culture podcast.

To bring this framework to your next leadership offsite, board meeting, or industry event, explore Matt Britton's keynote platform or book Matt Britton as a speaker directly. The decisions families and companies make in the next twenty-four months will compound for the next two decades.

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