Is AI Really Behind the Entry-Level Tech Slump? What the Evidence Supports and What It Doesn't

Sat, 03 Oct 2026 00:00:00 +0000

Companies increasingly cite AI when they cut staff, and headlines about struggling computer science graduates usually do the same. But “AI was mentioned” and “AI caused it” are different claims. Here is what the sources support.

Evidence that points to AI

More cuts are attributed to AI. Challenger data cited by Computerworld shows AI blamed for 40% of tech job cuts in May, up from 7% in January.
Employers are shifting code work to AI. The AP reports that Microsoft, Meta and Google are using AI for a larger share of code writing.
Some cuts are genuinely driven by AI adoption. The SkillSyncer tracker says this applies to many layoffs at the biggest companies.

Evidence that points elsewhere

The slowdown started earlier. An On EdTech analysis, published as sponsored content on Higher Ed Dive, argues that the downturn in new-graduate hiring began before generative AI was widely adopted, and that AI may be speeding it up without being the main driver. Because it is sponsored content, weigh it accordingly.
Too many graduates for the openings. The AP says the elevated jobless rate partly reflects the large number of students who enrolled during the coding boom.
A pandemic hangover. Futurism describes companies embracing AI tools while cutting entry-level roles and pulling back from COVID-era over-hiring.
Blame can be convenient. SkillSyncer acknowledges that some companies attribute to AI cuts they would have made regardless.

What is still unclear

IEEE Spectrum notes that entry-level hiring at the largest tech firms fell sharply, yet it remains unclear whether those cuts are actually a result of AI. Counting methods also blur the picture, since many trackers tag a layoff as AI-related whenever the company or press says so, even if the money was simply redirected to AI projects.

Analysis on Entry-Level Tech Watch

Is AI Really Behind the Entry-Level Tech Slump? What the Evidence Supports and What It Doesn't

Evidence that points to AI

Evidence that points elsewhere

What is still unclear