Harry Beach is 22 years old.
He doesn't work in a marketing department. He sells AI commercials to software companies, charges $20,000 to $40,000 per video, makes two to four a month, and clears over $500,000 a year.
He dropped out of college. His words: "It was just a waste of time."
Meanwhile, the average graduate leaves school tens of thousands of dollars in debt and walks into the weakest entry-level job market in modern history. Entry-level postings in some sectors have fallen by up to 30% since late 2022.
Harry isn't an outlier. He's an early data point in what economists are starting to call the skill economy: a labor market where skills, not degrees, are the unit of value.
Brett Malinowski's team just published a 13-minute documentary on this shift, with two Gen Z founders earning six figures inside it. I watched it twice. Here's the video, then my breakdown for founders.
The career ladder Gen Z was promised no longer exists
The old deal was simple. College, degree, job, ladder.
The numbers say that deal is dead:
- In 1992, about 26% of US workers held a bachelor's degree. Today it's nearly 45%. Economists call this credential inflation: when everyone has the signal, it stops being a signal.
- College tuition in the US is up over 1,200% since the 1980s. Wages didn't follow. Student debt now sits above $1.7 trillion.
- A Stanford analysis found recent college graduates facing higher unemployment than the national average. That's historically backwards.
- This is the first generation in US history projected to earn less than their parents, despite having more education.
And then there's the part that makes job hunting feel insane: ghost jobs. Companies post roles to collect resumes, test the market, or look like they're growing, with no intent to hire. Top students report sending hundreds of applications and getting zero interviews.
They're not imagining it. The listings aren't real.
AI made it worse at the exact wrong layer. The tasks that used to justify hiring juniors (drafting documents, summarizing research, writing basic code, preparing reports) are now automated or AI-assisted. Entry-level roles were the machine that converted education into experience. That machine is being switched off.
What the skill economy actually is
The skill economy is a labor model where demonstrable skills, not credentials, are what you get paid for. The hiring question changed from "who looks best on paper?" to "who can do the work today?"
A 2024 global survey found nearly 60% of new graduates struggled to find work because they didn't match the skills employers now prioritize. So employers are adapting: skill-based hiring (portfolios, projects, proof of work) is beating resume screening on both performance and retention. Palantir went further and built paid fellowships that skip the degree route entirely.
The best analogy from the video: this is the gig economy, but for white-collar work.
Uber and DoorDash didn't eliminate blue-collar jobs. They reorganized how the work got distributed. The skill economy is doing the same thing to knowledge work. Instead of one full-time job at one company, skilled people split across multiple organizations: two hours here, three hours there, paid per outcome.
Careers stop looking like ladders and start looking like networks.
And AI is the tool making it possible. One person with the right skills can now operate like a small studio: learn online, apply immediately, sell outcomes directly to the market.
Harry: $500K a year selling launch videos, 6 months in
Harry started making AI commercials six months before this video was filmed.
His model:
- → Sell launch videos directly to software companies. No agency, no employer.
- → Charge $20K to $40K per commercial.
- → Make 2 to 4 per month.
- → Result: over $500K a year at 22.
He did go to college for a while. Then he looked around, saw his peers optimizing for parties, and kept asking teachers the question every founder eventually asks: "How is this going to help me?"
Nobody had an answer, so he left.
His read on the moment is the most useful line in the video: the internet is breaking open into a wild west. New places for value to be exchanged, new roads nobody teaches in college. AI video is one of them. He got there early, and being early did the heavy lifting.
He's not a prodigy. He picked a skill with real budgets attached (product launches), got good fast, and charged like a specialist instead of billing hours like a freelancer.
Evan: from $20 in the bank to $18K months
Evan is 20. Freshman year, he had exactly $20 in his bank account and did the math on his future: a full-time job would pay him $3K to $4K a month for 40 hours a week.
That math scared him into action.
He wanted an online business with no upfront capital where nobody was competing yet. He landed on clipping: taking videos brands already have, cutting them into short clips, and getting them in front of millions of people. (I broke down how another clipping agency scaled to $35K a month in this story about Clipping Culture. The niche is real.)
His playbook was almost stupidly simple:
- → Cold outreach to about 100 people. One replied.
- → First campaign: $2,000 spent in under 24 hours. It worked.
- → That client brought bigger campaigns: $5K, $10K, $20K.
- → He turned the results into a case study on his site, and the funnel started booking calls on its own.
Ten months in, his best month was $18,000. Under a year in, he's made $80K to $90K total. While sitting in class.
His advice to anyone still on the fence is the most honest framing of risk I've heard in a while: "It took me 4 months to change my life. It could take you a year. And if it's not working, then go to college."
College as the fallback. Not the plan.
The playbook both stories share
Strip out the niches and Harry and Evan ran the identical play:
- → Pick a skill attached to a business problem with budget. Launch videos sell products. Clips reach customers. Nobody pays $40K for "video editing". They pay for launches and reach.
- → Learn by doing, not by curriculum. Both learned their craft in months, online, applying it on real work immediately.
- → Build proof of work before anyone asks for it. A portfolio, a case study, a shipped project. In the skill economy, proof of work is the resume.
- → Sell outcomes, not hours. Harry charges per commercial. Evan charges per campaign result. Hourly billing caps you; outcomes don't.
- → Volume on the first client. Evan contacted 100 people to get one yes. Most people quit at 15.
The question the video ends on is one I'd steal for your quarterly review, whether you're 20 or 40: what can you produce now that you couldn't produce a year ago?
If the answer is nothing, that's the problem to fix. Greg Isenberg's list of six AI-proof skills is a good place to pick from.
What this means if you're a founder
I don't run a job board, so here's why I'm writing about the job market: this shift is a gift for bootstrapped founders, twice over.
First, as a buyer. You don't need to hire a marketing department to get a launch video anymore. You need Harry's email and a budget. You can rent elite, narrow skills per outcome instead of carrying salaries. Small teams with big output used to be a Silicon Valley slogan. Now it's just how the labor market works.
Second, as a seller. Every service Harry and Evan sell exists because companies now buy outcomes from individuals. If you're pre-product or between products, selling a high-value skill is the fastest cash flow you can build, and it funds the SaaS without dilution. Several founders I've interviewed started exactly there: service first, product second.
The uncomfortable part: the same force cuts both ways. If AI plus one skilled operator can replace a junior hire, your competitors are already buying that way. Founders who collect headcount as a status symbol will lose to founders who buy outcomes.
FAQ
What is the skill economy?
The skill economy is a labor market where demonstrable skills, not degrees, are the primary unit of value. Workers sell specific outcomes (a launch video, a clipping campaign, an automation) across multiple companies instead of holding one full-time role, and employers hire based on proof of work rather than credentials.
Is college still worth it?
The video's take, and mine: education alone isn't enough anymore. A degree still pays off on average long-term, but the early-career certainty is gone. If you go, use college as a low-risk sandbox to build skills, projects, and a portfolio at the same time. Grades show effort. Portfolios get you hired.
Which skills actually pay in the skill economy?
Skills attached to revenue or reach: AI video and commercials (Harry charges $20K to $40K each), clipping and short-form distribution (Evan's campaigns run $5K to $20K), running ads, building apps, automating workflows with AI. The pattern: the closer the skill sits to a company's customers or revenue, the more it pays.
How do you get a first client with no portfolio?
Evan's answer: volume and a free proof. He cold-contacted around 100 brands, got one reply, and made the first campaign work so well ($2,000 spent in under 24 hours) that the client came back with bigger budgets. One great case study converts better than any resume.
Steal playbooks from founders who already made it work
Every week on the Profitable Founder Podcast I sit down with bootstrapped founders making $100K to $10M a year and get the exact numbers, channels, and mistakes behind their growth. If you liked this breakdown, you'll like the interviews more.
