Skip to content
You can now search across every topic, entity and event.What's new
Survey of Business Uncertainty
ConceptUS

Survey of Business Uncertainty

Federal Reserve survey weighting AI adoption by employment; produced 78% adoption rate for late 2025 — the highest federal measure.

Last refreshed: 16 April 2026 · Appears in 1 active topic

Key Question

If 78% of US workers are at AI-using firms, why have so few jobs been officially lost?

Timeline for Survey of Business Uncertainty

#63 Apr
View full timeline →
Common Questions
What does 78% AI adoption actually mean for US workers?
The 78% SBU figure means 78% of employed Americans work at a firm that has adopted AI — not that 78% personally use AI tools. Daily individual use is 12%; weekly use is 35.2%.Source: Federal Reserve Board (FEDS Notes)
Why does the government show both 18% and 78% AI adoption?
The figures measure different things. BTOS counts firms (18%). SBU weights by employment (78%). The Federal Reserve published a reconciliation on 3 April 2026 showing all three federal instruments describe the same economy incompatibly.Source: Federal Reserve Board

Background

The Survey of Business Uncertainty (SBU) is a joint project of the Federal Reserve Bank of Atlanta, Stanford University, and the University of Chicago, measuring business expectations and economic uncertainty. Its late-2025 AI adoption finding — 78% of the US workforce is employed at firms that use AI — was the highest figure in the three-way comparison published by the Federal Reserve Board on 3 April 2026. The 78% figure is employment-weighted: it asks what share of the labour force works at a firm that has adopted AI, meaning a large AI-using employer counts for all of its workers.

The 78% figure does not mean 78% of workers personally use AI tools; it means 78% of employed Americans work inside an AI-using firm. The Information sector leads at 37% firm adoption, with professional services and financial services each near 30%. Daily AI use across the full workforce sits at 12%; weekly use at 35.2%. The SBU employment-weighted methodology is the broadest measure because it captures workforce exposure to AI without requiring active individual use — a worker at a large bank using AI in its trading operations is counted even if that worker's own job has not changed.

For labour-market analysis the SBU's 78% is arguably the most important of the three federal figures, because AI's workforce impact runs through the firms workers are employed by — through changed hiring, changed job requirements, and changed wage premia — rather than through individual tool use alone. The Stanford Digital Economy Lab analysis, which found AI suppressing roughly 1 million annual hires, is implicitly consistent with a world where 78% of the workforce is inside AI-using firms but most have not yet seen their individual roles automated.