Skip to main content
Deep Questions with Cal Newport

AI Reality Check: Is AI Stealing Entry-Level Jobs?

16 min episode · 2 min read

Episode

16 min

Read time

2 min

Topics

Career Growth, Fundraising & VC, Leadership

AI-Generated Summary

Key Takeaways

  • Unemployment Data Reality: Apollo Global Management chief economist Torsten Slock analyzed Bureau of Labor Statistics data showing no structural difference in unemployment trends between workers aged 20-24 and the general population since ChatGPT launched, contradicting mainstream AI displacement narratives.
  • Statistical Mirage Effect: Economists Adam Ozimek and Nathan Goldschlag found that apparent worsening unemployment among college graduates versus non-graduates was a measurement artifact — non-graduates were exiting the job search entirely, removing them from standard unemployment calculations and inverting the real picture.
  • AI Exposure Has No Labor Signal: Goldschlag and Sarah Eckhart analyzed hiring trends across sectors using five separate AI-automation exposure measures and found zero meaningful correlation between a job's AI vulnerability and reduced hiring or increased unemployment in that sector post-2023.
  • "Directionally True" vs. Factually True: Evaluate AI coverage by distinguishing claims that are factually verified from those promoted because they feel aligned with a broader narrative. Commentators pushing directional truth erode public trust and reduce accountability pressure on frontier AI companies raising capital.

What It Covers

Cal Newport examines whether AI is eliminating entry-level jobs for college graduates, analyzing Bureau of Labor Statistics data and multiple economist studies to challenge the widely repeated claim that has caused 16% of college students to change their majors.

Key Questions Answered

  • Unemployment Data Reality: Apollo Global Management chief economist Torsten Slock analyzed Bureau of Labor Statistics data showing no structural difference in unemployment trends between workers aged 20-24 and the general population since ChatGPT launched, contradicting mainstream AI displacement narratives.
  • Statistical Mirage Effect: Economists Adam Ozimek and Nathan Goldschlag found that apparent worsening unemployment among college graduates versus non-graduates was a measurement artifact — non-graduates were exiting the job search entirely, removing them from standard unemployment calculations and inverting the real picture.
  • AI Exposure Has No Labor Signal: Goldschlag and Sarah Eckhart analyzed hiring trends across sectors using five separate AI-automation exposure measures and found zero meaningful correlation between a job's AI vulnerability and reduced hiring or increased unemployment in that sector post-2023.
  • "Directionally True" vs. Factually True: Evaluate AI coverage by distinguishing claims that are factually verified from those promoted because they feel aligned with a broader narrative. Commentators pushing directional truth erode public trust and reduce accountability pressure on frontier AI companies raising capital.

Notable Moment

Economists found that professionals with the least exposure to AI automation actually experienced higher unemployment since 2023 — the opposite of what displacement theory predicts, suggesting post-pandemic market corrections drive current job trends far more than AI does.

Know someone who'd find this useful?

Episode Transcript

Last summer, The Wall Street Journal published an article with an alarming headline, AI is wrecking an already fragile job market for college graduates. It then goes on to say, companies have long leaned on entry level workers to do grunt work that doubles as on the duty training. Now ChatGPT and other bots can do many of these chores. Now this idea that young people are having a particularly hard time finding jobs and that this is due in part to AI soon took off and became conventional wisdom. Variations of this claim have been cited ever since. Now look, this belief is starting to have a real impact. Just last week, Axios wrote an article that was titled AI is Making College Students Change Majors, and it cited a survey that showed sixteen percent of currently enrolled college students have changed their studies due to concerns about AI. That number jumps to twenty five percent when you consider students who are studying technology, which is all to say, if you've been reading AI coverage recently, you've probably encountered these type of claims many times. But are they true? Today, we're gonna look for some measured answers. I'm Cal Newport, and this is the AI reality check. Alright. So the question we're looking at today, is AI reducing the market for entry level jobs? Now I'm not an economist, but fortunately for our purposes, multiple economists have weighed in recently on this claim about AI stealing entry level jobs. And here's the thing, they're not that impressed. Alright. I wanna start, with someone named Torsten Slock, who is the chief economist at Apollo Global Management. Now last week, he published a newsletter that was titled busting the AI youth unemployment myth. Alright? Now in this article, he has two different charts that he put together, both of them drawing data from the Bureau of Labor Statistics. I'll put the the first chart up here on the screen. Okay. So this is looking at the unemployment rate from the mid nineteen nineties until today, and it shows two lines. One for all people 16 years and older, and others for just twenty to twenty four year olds. So he's looking at, are young people having a particularly hard time with unemployment right now? And what you see is, well, no. The overall unemployment rate and the unemployment rate for young people seems to be moving, roughly with the same trends. Alright. Here's how Slock summarizes this chart. The data does not show any sign that unemployment is stronger that unemployment among younger workers is structurally higher because of AI. Okay. Now a common critique that you might hear here, is that it depends what type of young people we're talking about. Right? It's really young people with college degrees that should really be seeing their their, jobs being stolen by AI because AI automation is more aimed at white collar jobs than non white collar jobs. So with this critique …

Get the full transcript (2,932 words) + summary by email — free

One-time email with the complete transcript and AI summary of this episode. No account needed.

One email, no spam. We’ll also show you what SignalCast does.

Browse all Deep Questions with Cal Newport transcripts →

You just read a 3-minute summary of a 13-minute episode.

Get Deep Questions with Cal Newport summarized like this every Monday — plus up to 2 more podcasts, free.

Pick Your Podcasts — Free

Keep Reading

More from Deep Questions with Cal Newport

We summarize every new episode. Want them in your inbox?

Similar Episodes

Related episodes from other podcasts

Explore Related Topics

This podcast is featured in Best Mindset Podcasts (2026) — ranked and reviewed with AI summaries.

You're clearly into Deep Questions with Cal Newport.

Every Monday, we deliver AI summaries of the latest episodes from Deep Questions with Cal Newport and 192+ other podcasts. Free for one show.

Start My Monday Digest

No credit card · Unsubscribe anytime