Where is the AI jobs crisis?

Overall data vs. “AI jobs crisis” narrative

• Several comments cite BLS data: low unemployment, rising average and median wages, and stable job openings suggest no broad AI-driven mass unemployment.
• Others argue job-openings charts are noisy, hide sector differences, and often count “aspirational” or fake postings.
• Some see the article as overinterpreting a tiny uptick at the end of a long downward trend and as spin from a financial firm.

What’s driving labor market changes?

• Many argue layoffs and weak hiring stem from post‑COVID overhiring, higher interest rates, and general tech/VC cycles, not AI.
• Others see AI as at least a contributing factor, especially when firms simultaneously cut staff and ramp up AI spend.
• Healthcare jobs are repeatedly noted as the main growth engine, driven by aging populations and rising “wellness” demand.

Junior and entry-level crisis

• Strong consensus that entry‑level SWE roles are scarce: many juniors/CS grads can’t find jobs or must accept much lower‑paid work.
• Some say this predated LLMs (remote work, hiring conservatism, “clone of ex-employee” expectations), but others report explicit “we don’t hire juniors because AI can do that work.”
• Concern about a future shortage of seniors if no one trains juniors; others counter that AI‑augmented seniors may be productive enough that fewer are needed.

Hiring process, “ghost jobs,” and underemployment

• Multiple reports of:
  • Fake or stale job postings.
  • AI‑driven applicant tracking making it cheap to advertise but hard to get human review.
  • Extremely long searches, many automated rejections, and temp/gig work replacing prior well‑paid roles.
• Several argue official unemployment misses underemployment, multiple part‑time jobs, and inability to secure living‑wage work.

Wages, CPI, and inequality

• Some point to rising mean and median earnings (even after inflation) as evidence workers aren’t broadly being pushed into worse jobs.
• Others contest CPI as a measure of “real” well‑being, emphasizing housing, healthcare, and essentials outpacing wages.
• Debate over whether focusing on averages hides distributional problems and K‑shaped outcomes.

AI’s impact inside software work

• Many practitioners say AI tools significantly boost individual productivity and are now “deeply embedded” in SWE roles.
• Reports that small teams or a few seniors plus AI can replace much larger teams; some firms claim to have dramatically reduced headcount.
• Others say AI mostly adds more work (more code, more bugs, more “slop” to clean up) and hasn’t produced net staff cuts in their orgs—yet.
• Some expect a delayed, potentially nonlinear jobs impact as “agentic” AI systems mature; others see “AI layoffs” largely as corporate PR and cost‑cutting pretexts.