---
type: "Evidence Item"
title: "FRED Real-Time Population Survey — GenAI Work Penetration"
description: "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."
resource: "https://fred.stlouisfed.org/categories/8"
tags: ["appendix-iii", "confirming_mechanism", "federal-reserve-bank-of-st-louis-harvard"]
timestamp: "2026-07-01"
category: "confirming_mechanism"
publisher: "Federal Reserve Bank of St. Louis / Harvard"
cope_score: 83
confidence: 0.93
---

# 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.

# Relevance

Appendix III — confirming mechanism: Federal Reserve longitudinal data quantifies GenAI work-hour penetration at 1.7% of total US hours (rising), with occupation-level disaggregation identifying legal, office admin, and computer/math roles as fastest-displacement cohorts; central bank surveillance infrastructure confirms the displacement effect is institutionally acknowledged as real and durable

# 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.

# Metadata

* Publisher: Federal Reserve Bank of St. Louis / Harvard
* Category: confirming_mechanism
* Sector: Cross-sector US workforce / Finance / Professional & Technical Services / Office & Administrative Support / Legal / Computer & Mathematical Occupations
* Capability: 137 quarterly FRED series tracking GenAI adoption and work-hour displacement across US industries and occupations; broken down by sector (Finance, Professional/Technical, Admin, Legal) and occupation class (Office & Admin Support, Computer & Mathematical, Legal Occupations); runs Q3 2024 through Q2 2026
* Cope score: 83
* Confidence: 0.93

# Related Concepts

* [Live evidence index](index.md)
* [Thesis](../thesis.md)

# Citations

[1] [FRED Real-Time Population Survey — GenAI Work Penetration](https://fred.stlouisfed.org/categories/8)