Dallas Fed: The Bottom Rung of the Career Ladder Is Broken

If you are under 25 and trying to land your first real job in tech, finance, or any field touched by AI, you have probably noticed something strange: nobody is firing people, but nobody seems to be hiring you either. A new analysis from the Federal Reserve Bank of Dallas puts a number on that feeling — youth employment in highly AI-exposed occupations has dropped about 13% since 2022. [Fact]

Here is the part that should change how you think about your job search: this decline is not because young workers are being laid off. It is because they are not getting hired in the first place. The bottom rung of the career ladder, as the Dallas Fed economists put it, is broken — and that changes everything about what you should do next.

What the Dallas Fed Actually Found

In a study published May 26 2026, titled "Climbing the employment ladder tough when bottom rung is broken," economists at the Dallas Fed examined why the labor market has weakened for the youngest workers while staying remarkably stable for everyone else. [Fact]

Their central finding is about flows, not stock. When you hear "unemployment is rising," it is natural to picture waves of layoffs. But the Dallas Fed decomposed the rise in unemployment since 2023 and found that most of it comes from two things working together: a falling job-finding rate (how quickly someone without a job gets one) and a modestly rising firing rate. For young people specifically, the job-finding side dominates. [Fact]

In plain terms: the door is not slamming on people who already have jobs. The door is simply not opening for people trying to get in. That is why the 13% drop in youth employment in AI-exposed roles since 2022 looks so different from a normal downturn — there is no spike in young workers losing jobs they already held. The damage is concentrated entirely at the entry point. [Fact]

Why Companies Are Skipping Entry-Level Hires

The Dallas Fed's explanation connects directly to how AI changes the value of different kinds of knowledge — and this is the insight worth sitting with.

There are two kinds of knowledge in almost any job. The first is codified knowledge: the textbook material, the documented procedures, the "here is how you write a SQL query" or "here is the standard structure of a financial model" content that can be looked up, taught in a course, or written down. The second is tacit knowledge: the judgment, intuition, and pattern recognition that only comes from years of doing the work and watching things go wrong. [Claim]

AI is extraordinarily good at the codified kind. A generative model can produce a first-draft contract clause, a working block of code, or a competently structured marketing brief in seconds. And here is the uncomfortable consequence for entry-level workers: codified knowledge is exactly what a fresh graduate brings to the table. The tacit knowledge — the part AI cannot replicate — is precisely what they do not yet have. [Claim]

So companies are making a cold calculation. Why hire and train a junior employee whose main value (codified skills) can now be partly handled by an AI tool, when you can instead compete hard for proven, experienced talent whose tacit judgment is the scarce resource? The Dallas Fed observes exactly this behavior: firms are pulling back on entry-level recruitment while aggressively competing for mid-career and senior workers. [Fact]

The result is what economists call an experience premium — a widening gap in opportunity between those who already have a track record and those still trying to build one.

The Wage Signal Backs This Up

If experienced workers are suddenly more valuable, you would expect their pay to rise faster. The data shows exactly that. The Dallas Fed's own regional figures show wages in computer systems design climbing 16.7% since fall 2022 — more than double the 7.5% national average over the same period. [Fact] Dallas Fed regional data

That is the experience premium made visible. The people who already have the tacit, hard-to-automate skills are commanding sharp raises, while the workers who would normally fill the bottom rung — and eventually learn those skills on the job — are finding the rung missing entirely. For context, the U.S. Bureau of Labor Statistics projects software developer employment to grow 17% through 2034, far faster than average, which tells you the field is not shrinking. [Fact] BLS Occupational Outlook Handbook The jobs exist. The on-ramp for newcomers is what has narrowed.

What This Means for Your Career

If you are early in your career, this is not a reason to despair — it is a map. The data points to a clear strategy.

First, manufacture experience before anyone gives it to you. Internships, freelance projects, open-source contributions, and real client work all build the tacit, judgment-based skills that employers now treat as the scarce asset. A portfolio that demonstrates you have already wrestled with messy, real-world problems is worth more than ever, because it signals exactly the thing AI cannot provide.

Second, become the person who directs AI, not the person who competes with it. The codified tasks are being automated; the work of framing problems, checking AI output for the errors it confidently makes, and combining tools into a working solution is not. Learning to supervise and verify AI work is itself a fast track to the tacit skill set employers will pay for.

Third, target the on-ramp, not the prestige. When the bottom rung is broken, any foothold that lets you start accumulating real experience — a smaller firm, an apprenticeship, a less glamorous adjacent role — is more valuable than waiting for the perfect entry-level opening that fewer companies are offering.

The Dallas Fed's message is sobering but not hopeless. The career ladder still exists, and the top of it may be more rewarding than ever. The challenge of this moment is simply getting onto the first rung — and the workers who understand why it is broken are the ones best positioned to climb over it.

Sources

• Federal Reserve Bank of Dallas, "Climbing the employment ladder tough when bottom rung is broken," May 26 2026 — https://www.dallasfed.org/research/economics/2026/0526
• U.S. Bureau of Labor Statistics, Occupational Outlook Handbook (Software Developers) — https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm
• Secondary reporting: Axios, "The broken ladder" (June 2 2026); Fort Worth Inc.; Yahoo Finance/AOL.

AI-assisted analysis. This article was synthesized by an AI system from the cited primary research and reviewed before publication. Figures labeled [Fact] are drawn directly from the named sources; [Claim] denotes interpretive analysis of how AI shifts the value of codified versus tacit knowledge.