Surviving AI – Navigating AI Job Displacement and Automation

Trade School vs. College in the AI Era: The 2026 Math Every Parent Needs to See

Carlo Thompson

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The college decision in 2026 is not the same as it was in 2006. With AI compressing entry-level white-collar jobs and 25% of bachelor's degree programs delivering a negative ROI, families need a new analytical framework — not social inertia.

In this bonus episode of Surviving AI, Carlo Thompson runs the full math on the college vs. trades vs. apprenticeship decision in the AI economy.

**What you'll learn:**
- Why workers aged 22–25 in AI-exposed roles have already seen a 16% employment drop — and what that means for new graduates
- The 25% of degree programs with negative ROI — and how to know if you're about to enroll in one
- The trades and apprenticeship math nobody shares: $80K starting salary, 90% employment, $3K–$15K cost
- The "sheltering in higher education" trap — why grad school as AI anxiety relief is usually the wrong call
- The 5-question decision framework for making this call analytically

📊 **Key data this episode:**
- 25% of bachelor's degree programs: negative ROI (Fed Reserve Bank of NY)
- 51% of Gen Z regret going to college
- Workers with AI skills earn 56% more than peers in identical roles
- Apprenticeship completers: ~$80K year one, 90%+ employed
- Trade vs. college net position by age 22: $80K–$150K ahead for the trade path

🎙️ Surviving AI Bonus Episode | Companion to Episode 21: The Family Strategy

📌 **SUBSCRIBE:** Apple Podcasts | YouTube | Spotify


SPEAKER_00

Imagine you're sitting across from a financial advisor. Right. You're about to hand over this massive check to invest in a fund. And right before you sign the paperwork, the advisor leans in and says, Hey, just so you know, there is a one in four chance you will lose absolutely everything.

SPEAKER_01

Wow. Yeah.

SPEAKER_00

That you'll end up financially worse off than if you had never walked into my office.

SPEAKER_01

I mean, you would grab your checkbook and run out of the building.

SPEAKER_00

Exactly. You'd sprint. Yet right now, as we look at the reality of 2026, uh 25% of all bachelor's degree programs in the United States deliver a negative return on investment.

SPEAKER_01

It's staggering. You are literally paying to be poorer. Trevor Burrus, Jr.

SPEAKER_00

And people are really feeling it. I mean, if you're a parent listening to this on your commute, or you know, a college sophomore staring at your course catalog trying to figure out your life, your heart rate is probably spiking right now.

SPEAKER_01

Because the rules feel like they were changed right in the middle of the game.

SPEAKER_00

Completely. We're looking at some shocking stats here. Currently, 51% of Gen Z workers actively regret going to college.

SPEAKER_01

Over half.

SPEAKER_00

Half. And forty-seven percent of current students are seriously considering changing their majors, specifically because of artificial intelligence.

SPEAKER_01

Which honestly is entirely rational behavior. Taking a breath and looking at these new rules is well, it's how we survive this transition. Yeah. For decades, an 18-year-old could make their educational choices based on social expectation. Your neighbors went to a four-year school, your parents went, so you know, you go.

SPEAKER_00

Right, it's just the default.

SPEAKER_01

Exactly. And the economy generally forgave the financial cost of that exploration because the degree itself functioned as this universal signal of competence to employers.

SPEAKER_00

But the math of 2006 is completely broken today. So for this deep dive, our mission is to really cut through that lingering social pressure. We want to help you look past those default assumptions and uh unpack the actual hard math of the college decision right now.

SPEAKER_01

It's so needed.

SPEAKER_00

Artificial system online.

SPEAKER_01

Because, and we need to be clear here, we aren't just looking at a mild economic fluctuation. We are looking at a massive structural shift in how human value is created, recognized, and rewarded in the labor market.

SPEAKER_00

Aaron Powell Yeah, let's start with the job market itself. It used to be that the entry-level job market was like um getting on the ground floor of an escalator. You get on that first step, maybe doing some basic data entry, writing simple marketing copy, running routine spreadsheets, and the corporate escalator naturally pulls you up to middle management over five years or so.

SPEAKER_01

Aaron Powell That was the promise.

SPEAKER_00

But AI hasn't just stopped the escalator, it is actively removing the bottom three steps.

SPEAKER_01

Aaron Powell That is exactly what the data shows us. I mean, Goldman Sachs is currently tracking 16,000 US job cuts every single month, directly attributed to artificial intelligence.

SPEAKER_00

16,000 a month?

SPEAKER_01

Yes. But the raw number isn't even the most alarming part. It's the demographic concentration of those cuts. The Federal Reserve Bank of Dallas isolated the data and found a 16% employment drop specifically for 22 to 25 year olds in AI exposed roles.

SPEAKER_00

Which is the exact age of the recent college graduate.

SPEAKER_01

Precisely. The very people who historically occupied those bottom three steps of the escalator.

SPEAKER_00

Okay, let's unpack this because I have to play devil's advocate for a second here. Sure. Go ahead. Aaron Ross Powell Are we absolutely sure this isn't just a temporary correction? Because every time there's a new technology, people panic, right? Oh, absolutely. Aaron Powell We saw it with the dot-com bubble, we saw it with early software automation. Is this just, you know, a tech sector contraction, or is it an actual structural collapse of the traditional postgrad pipeline, like a closing blast door on entry-level jobs?

SPEAKER_01

Aaron Powell It's structural. And it really comes down to the mechanism of what these new graduates were actually hired to do. Think about those classic entry-level white-collar roles that general degrees like communications or general business historically funneled people into.

SPEAKER_00

Like administrative coordination, that kind of thing.

SPEAKER_01

Yeah, administrative coordination, basic financial analysis, drafting emails. These jobs fundamentally involve taking existing information, summarizing it, and passing it along.

SPEAKER_00

Right.

SPEAKER_01

Well, McKinsey notes that 57% of current US work hours could be automated with the AI models available today.

SPEAKER_00

Wait, today? Not in five years.

SPEAKER_01

Today, not a future hypothetical technology. Right now. Large language models are explicitly designed to summarize and pass along information instantly.

SPEAKER_00

Wow. But if the entry-level roles are evaporating, what happens to the people already inside the company?

SPEAKER_01

Aaron Powell Uh, that's the second half of the squeeze. AI is compressing the pipeline from above as well. If we connect this to the bigger picture, currently 20% of organizations are actively flattening their hierarchies.

SPEAKER_00

So eliminating middle management.

SPEAKER_01

Exactly. Think about what a middle manager historically does. They collect status reports from junior employees, synthesize that data into a broader report, and hand it up to the executives.

SPEAKER_00

Which is exactly what an AI dashboard does now.

SPEAKER_01

Yes. When an AI can synthesize real-time data for the executive instantly, that entire middle layer of corporate translation becomes completely redundant. So you have a narrower entrance into the company and a significantly lower ceiling once you actually get in.

SPEAKER_00

Which perfectly explains why 68% of Gen Zers currently in the workforce say they feel they could do their jobs without their degree. Yep. They are sitting at their desks looking at the AI tools available and realizing the credential didn't actually teach them the core function of their daily work.

SPEAKER_01

Aaron Powell The degree is no longer the protective shield it used to be. The workers know it and the employers know it.

SPEAKER_00

So what does this all mean if the bottom steps of the escalator are gone and the middle management ceiling is collapsing? We have to ask a really uncomfortable question about the financial math here.

SPEAKER_01

We do.

SPEAKER_00

What exactly is a 19-year-old buying when they sign up for a$120,000 student loan? Let's look at the literal return on investment of these degrees.

SPEAKER_01

This is where we return to that Federal Reserve Bank of New York statistic you mentioned earlier. The 25% negative ROI. One in four graduates are paying an enormous sum of money to essentially sabotage their own lifetime earnings. It forces us to look critically at which educational paths actually survive this transition. And the divide is incredibly stark.

SPEAKER_00

Let's talk about the survivors first. Who is actually getting a positive return on a$120,000 education right now?

SPEAKER_01

Aaron Ross Powell The high ROI paths are highly specific and they usually possess a physical or legal moat, nursing and healthcare, for example. The automation risk there is less than 10%, and the sector is projecting 2.6 million new jobs.

SPEAKER_00

Aaron Powell Because I mean AI can't physically turn a patient over in a hospital bed or draw blood.

SPEAKER_01

Aaron Ross Powell Exactly. Physical presence is required. Then you have STEM fields, which are the people building the very tools causing the disruption.

SPEAKER_00

Right, the architects of the AI.

SPEAKER_01

And finally you have licensed professions, doctors, licensed professional engineers, lawyers. These remain strong because the degree is a mandatory legal foundation for holding the license. The credential is mathematically enshrined in the regulatory framework of the state.

SPEAKER_00

Aaron Ross Powell Okay, but then you look at the low ROI paths, and it is an absolute bloodbath. It really is. Education currently has the lowest lifetime return on investment of any tracked bachelor's degree. Communications, media, general business, without a quantitative specialization. These are all pointing young people directly at that entry-level window we just established as closing.

SPEAKER_01

Yes, right at the blast door.

SPEAKER_00

And the one that really shocked me in the research was accounting. AI can now handle 79% of routine accounting tasks. 79%.

SPEAKER_01

What's fascinating here is that the nuance within the accounting field is a perfect microcosm of the entire economy right now.

SPEAKER_00

How so?

SPEAKER_01

Well, if you are a junior bookkeeper whose primary job is running routine tax preparation or basic ledger reconciliation, your role is rapidly disappearing into software. Gone. But if you are a CPA who handles complex client advisory, navigates ambiguous legal gray areas, and manages human relationships, you have a highly lucrative future.

SPEAKER_00

So it's about the advisory part, the human part.

SPEAKER_01

Exactly. The critical problem for the 18-year-old is that you are paying$60,000 for a general accounting degree that primarily prepares you for the routine work the AI is currently absorbing.

SPEAKER_00

Which leads to a really dangerous behavioral trend. When people look out at this terrifying job market, a lot of them say, you know what? I'll just go to grad school.

SPEAKER_01

Uh yes. The shelter effect.

SPEAKER_00

Right. The 2026 data shows a massive spike in students sheltering in higher education. It's like uh seeing a hurricane forming outside. So you decide to hide under a very expensive$50,000 blanket just because the weather looks scary.

SPEAKER_01

Aaron Powell That's a great way to put it.

SPEAKER_00

It might feel safe for another two years, but you are just delaying the inevitable.

SPEAKER_01

And it's a credential trap driven by a complete misreading of the data. People see the statistic that 77% of newly created AI jobs require a master's or a PhD.

SPEAKER_00

Aaron Ross Powell So the natural assumption is, oh, I need an advanced degree to survive the AI economy.

SPEAKER_01

Trevor Burrus Right, but they miss the context. Those advanced degrees are required for the incredibly small subset of people building the foundational models, the machine learning engineers, and the high-level AI researchers.

SPEAKER_00

Aaron Powell actually writing the code.

SPEAKER_01

Yes. But the broad general workforce doesn't need a master's degree in their vulnerable field to survive. What they need is deep domain expertise combined with fluency in using AI tools. Well, that makes sense. Buying an advanced degree in communications or general marketing doesn't protect you from automation. It just means that when you finally enter the job market, you are facing the exact same AI headwinds, but now you have an additional$50,000 in non-dischargeable debt strapped to your back. Ouch.

SPEAKER_00

So if digital screen-based careers are collapsing and hiding in grad school is a financial trap, we have to look at the physical world. Let's pivot and talk about the blue-collar boom, the skilled trades, and the apprenticeship model.

SPEAKER_01

This is where the economic data completely flips. The automation risk for electricians and plumbers is currently under 10%. For HVAC technicians, it's under 15%. Wow. Human beings possess spatial reasoning, manual dexterity, and the ability to perform real-time physical problem solving in totally chaotic environments. That remains the ultimate moat against artificial intelligence.

SPEAKER_00

Because a billion-dollar AI model simply cannot navigate a dusty crawl space to rewire a 1950s fuse box.

SPEAKER_01

Precisely. And AI is literally generating the demand for the physical jobs it cannot replace. There are 80,000 union electrician openings right now across the country.

SPEAKER_00

80,000. And when you compare the head-to-head economics of that path against the traditional university route, the contrast is jarring.

SPEAKER_01

Oh, absolutely.

SPEAKER_00

Let's just run the basic math. The standard college path costs between$100,000 and$120,000. It requires four years entirely out of the full-time workforce where your earning power is virtually zero.

SPEAKER_01

Right.

SPEAKER_00

And when you finish, you are fighting for a shrinking pool of entry-level jobs with a starting salary of maybe$40,000 to$55,000.

SPEAKER_01

But let me push back on the alternative for a second. I mean,$80,000 to start as an apprentice sounds amazing on paper. But we are talking about heavy physical labor. Let's play this out. By age 45, your knees might be shot, your back is aching from carrying compressors up ladders.

SPEAKER_00

Right.

SPEAKER_01

Isn't a desk job still fundamentally safer for your long-term health and career lifespan, even with the AI risks?

SPEAKER_00

Aaron Powell Well, that's really common and valid concern, but our sources point out it's based on an outdated view of the trades. First of all, modern safety protocols, mechanical lifts, and union protections have drastically changed the physical toll of these jobs compared to 40 years ago.

SPEAKER_01

That's true. The work site is very different now.

SPEAKER_00

Exactly. And second, the career trajectory in the trades rarely ends with manual labor at age 50. You transition, you move into project management, estimating, site supervision, or you leverage your license to open your own contracting business. And the financial head start you gain makes that transition so much easier.

SPEAKER_01

Aaron Powell Let's walk through that head start, actually, because the math is undeniable. A registered apprenticeship costs somewhere between zero and fifteen thousand dollars.

SPEAKER_00

Total.

SPEAKER_01

Total. And instead of paying tuition, you are paid an hourly wage while you learn on the job. When you complete the program, you step into a role that averages$80,000 a year with an employment retention rate well over 90%. That's incredible. So by age 22, the trade worker is sitting on a massive financial advantage. They have money in the bank, maybe a down payment for a house, and zero educational debt. Meanwhile, their college educated peer is just starting at zero, often burdened by a mountain of non-dischargeable loans. Right. The net financial difference at age 22 is often$80,000 to$150,000 in favor of the tradesperson.

SPEAKER_00

Aaron Powell That is life-changing money. I mean, that dictates whether you can buy a home in your 20s or your 40s. And the culture is actually starting to catch up to this reality. One in three parents now actively support the trade route over college for their kids, which is a huge psychological shift from a decade ago.

SPEAKER_01

It's a massive shift. And it's crucial to understand this isn't an argument against higher education across the board. It is simply an argument for doing the math. Yes. If the primary goal of education is to position a young person for a secure, prosperous, and independent future, we can no longer ignore the physical paths that actually deliver on that promise.

SPEAKER_00

So we've laid out the landscape here. The digital entry level is shrinking, the physical trades are booming, and generic degrees are a massive financial gamble. But if you're listening to this, you need a way to apply it.

SPEAKER_01

Right. What do you actually do?

SPEAKER_00

Exactly. If you have a teenager at home, or if you are staring at your own college enrollment right now, how do you strip the emotion and the social pressure out of this choice? We have a five-question analytical framework from our sources to do exactly that.

SPEAKER_01

It's a great framework.

SPEAKER_00

Let's apply it to a hypothetical listener. Say your kid comes to you and says they want a major in communications or general business. The first question you ask is, does this career require a specific state mandated licensed degree?

SPEAKER_01

It's the ultimate filtering question. If they want to be a nurse, a civil engineer, or a lawyer, the decision is made. The university is the legal gateway to the license. Your only objective at that point is to minimize the financial cost of acquiring the required paper. Right. But if they say communications, the answer is no, there is no legal requirement. So you move to the second question.

SPEAKER_00

Which is do you have a highly specific career target, or are you paying$120,000 to figure it out? Because financing a journey of self-discovery with a six-figure high interest loan is catastrophic.

SPEAKER_01

It really is.

SPEAKER_00

Finding yourself shouldn't cost the equivalent of a small mortgage. Are we basically saying that in 2026 you have to treat an 18-year-old's education with the same ruthless scrutiny as a venture capital investment? Aaron Ross Powell, Jr.

SPEAKER_01

You absolutely have to treat it like an investment. And this raises an important question about how our culture separates the idea of personal exploration from expensive credentialing. Well, exploration is a vital part of growing up. You should absolutely try different things, but you can figure it out by taking entry-level adjacent jobs, enrolling in community college courses, taking a gap year or trying an apprenticeship. Trevor Burrus, Jr.

SPEAKER_00

Right, low cost exploration. Trevor Burrus, Jr.

SPEAKER_01

Exactly. Making a massive financial commitment based purely on social inertia, you know, going to a four-year school just because your friends are going, is a default decision that carries a life-altering price tag.

SPEAKER_00

Aaron Powell Right. Which bridges us directly to the third question. What is the automation risk and the median starting salary of the target field? You can pull this right from the Bureau of Labor Statistics. If that median starting salary is hovering under$50,000, that is a glaring red flag in the current economy.

SPEAKER_01

Aaron Powell And that salary data dictates how you answer the fourth question. What is the all-in cost and the payback period? You can't just look at tuition.

SPEAKER_00

No, you have to look at everything.

SPEAKER_01

Right. You must calculate room, board, fees, and the opportunity cost of four years out of the workforce. A very practical guideline here is the debt limit rule.

SPEAKER_00

The$30,000 rule.

SPEAKER_01

Yes. Taking on a maximum of$30,000 in debt is generally acceptable for a defined high probability career path. But taking on more than$50,000 in student debt without a specific high earning target, that is a financial trap that can cripple your economic mobility for decades.

SPEAKER_00

And the final question, number five, what are the alternative paths? Are there intensive boot camps, direct entry options, or apprenticeships that get you to the exact same place or a better place without the crushing debt? We've just shown that for many fields, the alternatives completely crush the traditional degree when you run the numbers.

SPEAKER_01

But we also have to address the listeners who are already in the system. The 47% of current students who are looking at the news, panicking, and thinking about switching their majors tomorrow morning.

SPEAKER_00

Yes. What is the survival strategy for the sophomore who suddenly realizes their degree might be in trouble?

SPEAKER_01

The most critical advice is do not panic switch your major without a concrete target. Abandoning a general business degree to blindly jump into another generic liberal arts degree just burns more time and tuition money.

SPEAKER_00

It's just treading water.

SPEAKER_01

Exactly. Instead, the strategy should be to aggressively add AI skills to whatever domain you are already studying. The data is incredibly clear here. Workers who possess tangible AI skills earn 56% more than their peers in identical roles.

SPEAKER_00

56% more?

SPEAKER_01

Wow, you do not want to graduate as just a marketer. You want to graduate as a marketer who builds and deploys AI workflows.

SPEAKER_00

And you have to aggressively minimize your debt from this second forward. If you are early in your college career, utilize community college to knock out your general requirements for a fraction of the cost.

SPEAKER_01

That is huge.

SPEAKER_00

And most importantly, prioritize getting real-world work experience right now. Do not wait until you graduate. Employers in 2026 are highly skeptical of a piece of paper that just proves you can sit in a lecture hall. They want demonstrated ability to solve problems in the real world.

SPEAKER_01

Because critical thinking and adaptability are the real survival skills now. You have to look at the economic landscape exactly as it functions today, not as we wish it functioned, or as it did 20 years ago.

SPEAKER_00

To bring this all together, the traditional four-year college still works brilliantly if you are pursuing a highly specific, licensed and AI resilient path. If you're going to be a doctor, obviously go to med school.

SPEAKER_01

Yes, please do.

SPEAKER_00

But the math surrounding the physical trades, paid apprenticeships, and alternative credentials is now completely undeniable. It is time to stop making this massive life decision based on what your neighbors think is prestigious and start making it based on the hard data.

SPEAKER_01

And that leaves us with one final deeply provocative thought to consider here.

SPEAKER_00

Play it on us.

SPEAKER_01

If artificial intelligence continues to push the economic premium toward highly physical, localized trades and highly specialized human-centric professions, which it is doing. Right. Then what happens to the entire concept of white-collar prestige over the next decade?

SPEAKER_00

Oh, that's interesting.

SPEAKER_01

If the financial math continues to widen this gap between the heavily indebted office worker and the wealthy independent tradesperson, will an electrician's union card or a master plumbing license become the new MBA level status symbol at dinner parties for the next generation?

SPEAKER_00

Aaron Powell It's a fascinating reframe. We started this deep dive talking about how the default setting used to be packing up the car for a four-year university, and how stepping off that path felt like this massive risk.

SPEAKER_01

Yeah, you were the outlier.

SPEAKER_00

But when you look at the vanished entry-level jobs, the flattening of corporate management, and that staggering 25% negative return on investment, it's crystal clear. The real risk is blindly following the assumptions of 2006.

SPEAKER_01

Without a doubt.

SPEAKER_00

The new status symbol is making a choice backed by math. If this framework helped clarify things for you, please share it with anyone standing at this educational crossroads right now. Thanks for joining us on this deep dive. We'll catch you next time.