GoKawiilCESifo study finds no broad AI-driven hiring drop for recent college grads
A working paper from CESifo researchers Robert Fairlie and Jane Wu concludes there is no significant evidence that AI has widely reduced hiring or increased displacement among recent college graduates, contradicting an earlier Stanford study that found weaker entry-level employment in AI-exposed fields. The researchers note firms have recently increased AI spending and task automation, suggesting graduates in 2026 could face different conditions than those studied so far.
GoKawiil's interpretation of the reporting above, not reported fact.
The conflicting findings highlight how uncertain and early-stage research still is on AI's labor market effects, meaning neither optimistic nor alarmist narratives are yet well supported by data. Public warnings from figures like Marc Andreessen and Larry Fink about AI threatening new-grad employment may reflect anticipation of future shifts rather than current measurable trends, according to the researchers' data.
- CESifo paper finds no widespread AI-driven hiring reduction for recent grads so far
- Findings contrast with an earlier Stanford study showing weaker entry-level job growth in AI-exposed roles
- Rising AI spending and enterprise AI usage suggest future graduating classes could face different outcomes
Source: arstechnica.com, 2026-09-25
Published there as: “AI was supposed to hit new grads hard. So far, unemployment data says otherwise.”
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