Adaptation · Labour & consumers
Entry-level employment shortfall in AI-exposed occupations
1What this measures
How far employment of 22–25-year-olds in the two most AI-exposed quintiles has fallen short of keeping pace with the three least exposed, per the Canaries paper (Aug 2026 revision).
Why it matters. If AI substitutes for the codified knowledge new graduates bring, the first sign is hiring, not separations. This is that sign.
- Proxy types
- deployment, welfare
- Unit
- share
- Cadence
- quarterly
- Valve
- adoption to adaptation
2How we track this
- series
stanford_del.us_entry_level_exposed.employment_gap.pt - series
stanford_del.us_entry_level_exposed.employment_change_since_nov2022.pt - series
stanford_del.us_entry_level_unexposed.employment_change_since_nov2022.pt - source Stanford Digital Economy Lab · default tier 6 · Working paper
- Normal band
- ≤ 10.0%
- Fast band
- ≥ 25.0%
- Falsifying
- —
Normal = a shortfall under 10 points, inside the range youth employment swings over a cycle; fast = 25 points or more. The current reading sits between, so it is `emerging`.
Applied to stanford_del.us_entry_level_exposed.employment_gap.pt.
3Tracker interpretation
Widening (15% to 19% in a year) and concentrated exactly where the paper says AI bites first. Real, but not yet the broad decline the falsification rule needs.
4Evidence
5Status and reasoning
Canaries paper, August 2026 revision: the kept-pace shortfall for 22-25-year-olds in the two most-exposed quintiles is 19% as of June 2026, up from 15% at the July 2025 vintage; in levels, -11% vs +10% for the least exposed since November 2022. Between the normal band (<=10%) and the fast band (>=25%). Initial seed.
6Timeline notes
7Counterevidence
What cuts against this reading
Timing partly predates ChatGPT; hiring freezes in tech and finance explain part of it; the measure is relative, so exposed-occupation youth could be flat while others boom.
8Update history
- 2026-09-10unmeasured to emergingconf — → 70 · claude-initial-seed
Canaries paper, August 2026 revision: the kept-pace shortfall for 22-25-year-olds in the two most-exposed quintiles is 19% as of June 2026, up from 15% at the July 2025 vintage; in levels, -11% vs +10% for the least exposed since November 2022. Between the normal band (<=10%) and the fast band (>=25%). Initial seed.
9Confidence
70 / 95 — good evidence, some ambiguity
Confidence is independent of status: 90–95 multiple strong independent sources; 70–89 good evidence, some ambiguity; 50–69 mixed or hard to operationalise; below 50 limited or vague.
10Related
- Employment in AI-exposed occupations, year on year consistent with normal
- Recent-graduate unemployment rate (NY Fed) consistent with normal
- Bottlenecks #41 (Narayanan & Kapoor's list)
- Crosswalk: Adaptation ⇄ Labour & consumers (same valve)