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Adoption Trends

Quarterly AI Adoption Rates 2022–2026

Everyone wants a single number for “how fast is AI being adopted?” — but the honest answer is that no one quarterly dataset cleanly spans 2022 to 2026. This page assembles the best available sources into one tracker, and is explicit about the seams. Before mid-2024, granular quarterly data barely exists: we have annual survey snapshots showing organizational generative-AI use climbing from roughly a third in 2023 to about 71% in 2024. From August 2024, the Federal Reserve’s Real-Time Population Survey provides a genuinely quarterly, nationally-representative series for individual workers, and the Census Bureau’s Business Trends and Outlook Survey has tracked firm-level use biweekly since late 2023. The catch is that these sources disagree dramatically — 2025–26 adoption estimates range from about 20% (firms, narrow definition) to 55% (individuals) to 88% (organizations, any function) — not because anyone is wrong, but because they measure different populations and questions. This page presents the headline curve, the two cleanest quarterly trackers, and why the numbers diverge.

4 visualizations 4 sources Last updated June 2026 Free to embed
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Chart 1 · The headline curve

GenAI organizational adoption, 2022–2026

GenAI organizational adoption, 2022–2026 (compiled)

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Source: McKinsey / multiple surveys (compiled) 2022–2026: organizational generative-AI use climbed from roughly 20–33% in 2022–23 to ~71% in 2024 and 78–88% by 2025–26. These are annual survey snapshots from different studies, plotted on a common timeline — a compiled trend, not one continuous quarterly dataset. See methodology.
Chart 2 · Genuinely quarterly

Worker GenAI adoption (Fed RPS), 2024–2026

Genuinely quarterly: Fed RPS worker data

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Source: Federal Reserve / St. Louis Fed Real-Time Population Survey 2024–26: the cleanest true quarterly series — nationally representative, ~5,000–6,000 responses per wave since Aug 2024. Work-related GenAI adoption rose steadily quarter over quarter; share of work hours using GenAI grew from 4.1% (Nov 2024) to 5.7% (Aug 2025).
Chart 3 · Firm-level tracker

US business AI use (Census BTOS), 2023–2026

Firm-level use: lower, narrower definition

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Source: US Census Bureau BTOS (via Federal Reserve) 2023–26: the Census Business Trends & Outlook Survey has tracked firm AI use biweekly since Sept 2023. Firm-level adoption rose gradually — lower than individual-use figures because it measures AI in producing goods/services, a narrower definition (broadened Nov 2025).
Chart 4 · Why the numbers differ

The same question, very different answers

Same year, very different rates — it's the definition

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Source: Federal Reserve cross-survey analysis 2026: adoption “rate” depends entirely on who and what you ask — individuals vs firms, work vs personal, “any use” vs “core operations.” 2025–26 estimates span ~20% (Census firm-level, narrow) to ~55% (Harvard individuals) to ~88% (McKinsey orgs, any function). All can be “correct.”

About this data

This page compiles AI adoption data into a quarter-by-quarter view, prioritizing the cleanest time-series sources: the Federal Reserve / St. Louis Fed Real-Time Population Survey (quarterly individual data since Aug 2024), the US Census Bureau Business Trends and Outlook Survey (biweekly firm-level since Sept 2023), and annual organizational snapshots from McKinsey and others for the earlier period.

The AI Behavior Index is the research arm of OneChat AI, an integrated multi-model AI platform. We compile and analyze data from primary research sources to make AI adoption and market trends more accessible to journalists, researchers, and decision-makers.

Why this is a compiled tracker, not one dataset: no single survey measured AI adoption quarterly across the whole 2022–2026 window. We are transparent about the seam: points before mid-2024 are annual snapshots (and sometimes from different surveys), while the genuinely quarterly data begins with the Fed’s RPS in August 2024. Plotting them together shows the real trajectory, but the early-period granularity is lower than the chart’s smooth line might imply — so we label which points are annual vs. quarterly.

Methodology notes: the headline curve mixes survey sources with different samples and definitions, so treat pre-2024 points as approximate annual markers, not precise quarterly readings. The RPS (individuals) and BTOS (firms) are the most methodologically rigorous quarterly series but measure different things — individual vs. firm use — which is why their levels differ. The Census broadened its AI question in Nov 2025 (from “producing goods/services” to “any business function”), creating a definitional break we note. Cross-survey level comparisons are therefore directional; the trend within each series is reliable.

Sources used on this page:

Corrections or suggestions: research@aibehaviorindex.org

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How the data works

Every statistic shown is sourced from a publicly available study, survey, or report. We aggregate, organize, and contextualize this data — but the underlying research is conducted by the cited sources. Click any source link to access the original methodology. If you run into any issues or have a study to suggest, contact us at research@aibehaviorindex.org.