Analysis: US and UK entry-level graduate job listings have plunged since 2022, but there's only tentative evidence of AI-related disruption in some occupations
www.ft.com/content/99b6... #ai #entryjobs Christopher Mims / @mims : Great piece, data do not support “AI is taking all the jobs” — “AI may be part of the picture but other factors, including economic uncertainty, post-Covid retrenchment and offshoring are probably playing an equal or bigger role in falling graduate hiring.” [embedded post] Danny Groner / @dannygroner : “Yet while the data points to a tough landscape for new graduates, it also indicates the causes are more nuanced. AI may be part of the picture but other factors, including economic uncertainty, post-Covid retrenchment and offshoring are playing an equal or bigger role in falling graduate hiring.” Jesse Felder / @jessefelder : 'FT analysis of US official data showed there was no clear correlation between an occupation's potential exposure to generative AI and whether it lost young workers between 2022 and 2024.' www.ft.com/content/99b6... [image] LinkedIn: Benjamin Stevenin : Are graduate jobs really being killed by AI? — The Financial Times asks this provocative question but the answer is more nuanced than the headline suggests. …
Context & Ripple Effects
Graduate hiring was already weakening in tech: SignalFire reported cuts in recent-graduate hiring at startups and large technology companies in 2024. This analysis broadens the picture to US and UK listings and cautions against treating AI as the sole explanation.
The distinction matters because a broad hiring downturn calls for a different response than occupation-specific automation: economic uncertainty, post-Covid retrenchment and offshoring may be driving as much or more of the decline.
First-order effects
- New graduates face fewer advertised entry points in the US and UK, intensifying competition for the remaining roles.
- Employers can reduce or redesign junior hiring while testing AI on routine, low-risk work, but the analysis does not establish AI as the dominant cause of the listing decline.
Second-order effects
- Universities, recruiters and graduates will have to distinguish cyclical demand weakness from role-specific AI exposure rather than assume a uniform AI displacement story.
- The earlier drop in AI-susceptible freelance work suggests that contingent and entry-level work may both be early pressure points, though the mechanisms and scale can differ.
Third-order effects
- If employers continue to substitute tooling, offshoring and leaner post-Covid staffing for traditional junior pipelines, career ladders may become less reliable as a source of trained talent.
- The evidence points toward more granular measurement of AI's labor effects by occupation; aggregate graduate-listing declines alone cannot identify automation as the cause.
The trend: AI's labor-market impact is emerging alongside a broader reset in entry-level hiring, making attribution by task and occupation more important than headline job counts.