GenAI at Work

Industry evidence

Industry explorer

Industry data expose variation beyond occupation mix and add a separate firm-side view of current AI use through BTOS.

Firm and worker views

Worker adoption and firm AI use show substantial sector concordance

The primary comparison pairs Q2 2026 RPS worker adoption with BTOS sectors that satisfy the preregistered crosswalk and suppression rules.

Primary sectors14
Unweighted sector pairs
Spearman rank correlation0.704
Descriptive cross-sector concordance
Pearson correlation0.797
Descriptive linear association

Measurement boundary

BTOS reports the share of responding employer businesses using AI in any business function over the prior two weeks. RPS reports the share of employed adults in an industry using generative AI for work. The correlation is sector-level descriptive concordance across distinct constructs. Percentage-point gaps, productivity interpretation, and causal interpretation require evidence beyond this comparison.

Each point is one subgroup. Labels identify groups with the highest values on either axis; exact values are available in the table below.
View chart data
Values plotted above, ordered by btos business ai use (%).
GroupBTOS business AI use (%)RPS worker GenAI adoption (%)
Information38.8%82.2%
Professional, Scientific, and Technical Services36.7%69.5%
Educational Services32.1%52.6%
Real Estate and Rental and Leasing27.9%56.5%
Health Care and Social Assistance23.7%37.2%
Utilities19.8%56.4%
Arts, Entertainment, and Recreation19.5%32.0%
Administrative and Support and Waste Management Services19.2%40.5%
Wholesale Trade18.1%62.1%
Manufacturing16.1%47.7%
Retail Trade15.9%39.5%
Construction12.0%43.5%
Mining, Quarrying, and Oil and Gas Extraction8.9%26.1%
Accommodation and Food Services8.9%30.5%
Sensitivity and crosswalk detail

Primary comparison

Sectors
14
Spearman ρ
0.704
Pearson r
0.797

Primary-comparability sectors; suppressed BTOS values remain excluded.

Expanded sensitivity

Sectors
17
Spearman ρ
0.815
Pearson r
0.850

Adds Transportation and Warehousing, Finance and Insurance, and Other Services under the preregistered limited-comparability tier.

Suppression rules leave Management of Companies and Enterprises outside the primary analysis and Agriculture outside the limited-comparability sensitivity. Public Administration lacks a BTOS counterpart; unclassified multi-sector businesses stay unallocated.

Worker-side structure

Adoption is more persistent than assisted working time.

2026-Q2 · each point is an RPS industry group.

Each point is one subgroup. Labels identify groups with the highest values on either axis; exact values are available in the table below.
View chart data
Values plotted above, ordered by work adoption (%).
GroupWork adoption (%)Work hours assisted (%)
Information82.2%16.0%
Professional, Scientific, and Technical Services69.5%11.4%
Finance and Insurance67.3%9.7%
Management of Companies and Enterprises64.5%15.7%
Wholesale Trade62.1%6.7%
Real Estate and Rental and Leasing56.5%11.6%
Utilities56.4%3.1%
Educational Services52.6%4.4%
Manufacturing47.7%5.5%
Construction43.5%1.8%
Administrative and Support and Waste Management Services40.5%8.2%
Retail Trade39.5%5.6%
Health Care and Social Assistance37.2%3.6%
Agriculture, Forestry, Fishing, and Hunting34.8%5.9%
Arts, Entertainment, and Recreation32.0%5.4%
Accommodation and Food Services30.5%2.6%
Mining, Quarrying, and Oil and Gas Extraction26.1%3.8%
Transportation and Warehousing25.1%5.8%
Other Services, Except Public Administration24.7%3.9%
Public Administration23.4%1.5%
Industry rank persistence: median Spearman correlation across quarter pairs
Adoption0.85
Assisted hours0.60
Reported savings0.68

Adoption rankings exceed assisted-hours rank stability in 20 of 21 quarter-pair comparisons. Assisted hours has the higher univariate R² for reported savings in 4 of 7 waves.

Quarter-by-quarter savings diagnostics
Unweighted cross-industry descriptive regressions by quarter. A = adoption, H = assisted hours, S = reported savings.
QuarterR²(S ~ A)R²(S ~ H)Higher
2024-Q40.4970.356Adoption
2025-Q10.4260.542Assisted hours
2025-Q20.3530.612Assisted hours
2025-Q30.7670.506Adoption
2025-Q40.6360.793Assisted hours
2026-Q10.7960.663Adoption
2026-Q20.6740.729Assisted hours

These aggregate cross-sectional diagnostics describe association and persistence. Efficiency, productivity, organizational quality, and causal effects require separate identification.