FRED Real-Time Population Survey — GenAI Work Penetration

Claim

The Federal Reserve Real-Time Population Survey records that GenAI now assists 1.7% of total US work hours (up from 1.4% in Q4 2024) — the most direct available measure of displacement rather than adoption intent. Separately, 37.4% of employed adults report using GenAI for work as of Q3 2025 (up from 33.3% a year prior), and 47% of US employees say their organisation has formally integrated AI tools for productivity or efficiency as of Q2 2026 (up from 41% the prior quarter). As a self-reported survey, 1.7% is almost certainly a systematic undercount: workers routinely underestimate AI assistance embedded in their own outputs, and the measure captures only conscious use. The Federal Reserve publishing 137 quarterly series tracking AI work penetration is itself a confirmation signal — central banks do not build longitudinal surveillance infrastructure for phenomena they expect to be transient.

Oracle verdict

The 1.7% work-hours figure is the most honest displacement metric in the public record because it asks not whether workers use AI but how much of their working time AI is touching. The gap between 37.4% adoption and 1.7% hours-assisted reveals that current AI use is concentrated in high-frequency, short-duration tasks — exactly the pattern that precedes task-level displacement at scale as models deepen into longer workflows. The occupation-level disaggregation is the structural signal: Legal Occupations, Office & Administrative Support, and Computer & Mathematical Occupations are the three categories with the fastest penetration trajectories, which maps precisely to the knowledge-worker roles the thesis identifies as first-displacement targets. That the St. Louis Fed and Harvard have co-built a 137-series longitudinal instrument to track this in quarterly granularity confirms that the displacement hypothesis is no longer speculative — it is being monitored by the institutions responsible for labour market stability. The self-report undercount means the true hours-assisted share is higher than 1.7%; workers systematically fail to attribute AI-generated content and AI-accelerated decisions to AI assistance in survey responses. Filed as [CONFIRMING — MECHANISM]: Federal Reserve-grade longitudinal data confirms work-hour penetration is rising, occupation-level breakdown identifies the exact knowledge-worker cohorts absorbing displacement fastest, and the existence of the instrument itself is institutional acknowledgement that the effect is real and durable.

Why it matters

FRED RPS category: https://fred.stlouisfed.org/categories/8. Survey run by Harvard / St. Louis Fed. 137 quarterly series total. Key figures: (1) GenAI adoption rate for work (employed adults): 37.4% as of Q3 2025, up from 33.3% Q3 2024. (2) GenAI work hours assisted as share of total US work hours: 1.7% as of Q1/Q2 2026, up from 1.4% in Q4 2024 — headline displacement metric. (3) Organisational integration (AI tools for productivity/efficiency): 47% of US employees, Q2 2026, up from 41% prior quarter. Series disaggregated by industry (Finance, Professional & Technical Services, Administrative Support, Legal Services) and occupation (Office & Administrative Support, Computer & Mathematical, Legal Occupations, Management). Data frequency: quarterly, Q3 2024 through Q2 2026.