The AI at Work Fact Book
How knowledge work actually goes, measured. Every number is a range across primary studies, with each study linked, so you can quote it and check it.
Where the Week Goes
How knowledge workers lose time before the real work starts: searching, coordinating, meetings, interruptions, email, app switching and duplicated work.
- F-01 · Searching 19–25%
of the work week goes to searching for information, about 9 to 10 hours.
5 sources - F-02 · Work about work 53–61%
of the work day goes to coordinating work: email, chat, meetings, searching and status checks.
9 sources - F-03 · Meetings 3–18 h
a week in meetings for the average worker, depending on the study. Managers report about 22.
6 sources - F-04 · Interruptions 20–26 min
to get back to an interrupted task, usually after about two other tasks.
3 sources - F-05 · Email and chat 13–28%
of the work week goes to email alone. Chat adds more on top.
5 sources - F-06 · App switching 3–4 h
a week lost getting back on track after switching between apps.
2 sources - F-07 · Duplicated work 4.6–5.7 h
a week spent redoing work that someone has already done.
3 sources
What AI Saves
What AI changes in knowledge work, measured in trials and surveys: time saved, writing, customer support, coding, who gains most and when AI makes work worse.
- F-08 · Time saved 3–5.4%
of work hours saved, by AI users' own estimate: about 1 to 2 hours a week.
6 sources - F-09 · Writing 25–40%
less time on a defined writing task with AI, and the work graded 18 to 34% better.
3 sources - F-10 · Customer support 14–15%
more customer issues resolved per hour with an AI assistant, in one firm's study.
2 sources - F-11 · Coding 21–26%
faster in company trials. All studies together run from 19% slower to 56% faster.
5 sources - F-12 · Who gains 27–46%
gain for the newest or weakest workers, against 0 to 17% for the strongest.
5 sources - F-13 · When AI hurts 14–25%
worse results on tasks the AI handles poorly: fewer correct answers, or more time.
3 sources
Who Uses AI at Work
Who uses AI at work, how often and for what: adoption, uses, jobs and industries, age and education, gender, bringing your own AI, and what employers provide.
- F-14 · Adoption 40–50%
of US workers use generative AI for their job. About 14 to 15% use it daily.
4 sources - F-15 · Uses 40–52%
of AI-using workers use it for writing or editing, the top use at work.
5 sources - F-16 · Jobs 78–85%
of US tech workers use AI for work, against about 20% in hands-on service jobs.
5 sources - F-17 · Age and education 12–24 pts
points more AI use at work among college graduates than among workers without a degree.
5 sources - F-18 · Gender 5–16 pts
points more men than women use generative AI; men are 16 to 22% more likely.
5 sources - F-19 · Bring your own AI 50–78%
of AI-using workers use at least some AI tools their employer did not provide.
3 sources - F-20 · Employers 42–49%
of workers say their employer has brought in AI tools; 25 to 40% report a clear plan or policy.
4 sources
What Teams Trust
What people trust AI to do, and what they check: trust in AI output, checking, error rates, what people hand over, policy breaches, company data and AI-related breaches.
- F-21 · Trust 24–53%
of workers trust AI output at work, depending on how strictly trust is defined.
4 sources - F-22 · Checking 41–44%
of AI users, or of their AI tasks, go without routine checking of the output.
4 sources - F-23 · Error rates 17–45%
of AI answers had a hallucination or significant error on realistic professional questions.
3 sources - F-24 · Delegation 2–12%
want AI to work alone (about 2%) or to lead. Most prefer an equal partnership.
3 sources - F-25 · Policy 30–44%
of workers have used AI in ways that break company policy.
3 sources - F-26 · Company data 42–48%
of workers say they have put company information into public AI tools.
2 sources - F-27 · Breaches 21–29%
of organizations report a breach of, or attack on, their own AI in the past year.
3 sources
Small Teams
How companies of 2 to 50 people work and use AI: their share of the economy, AI adoption and the gap with large firms, what stops them, what they gain and how long owners work.
- F-28 · Small firms 96–99%
of businesses in the US, EU and UK have fewer than 50 people.
4 sources - F-29 · Small business AI 20–46%
of small businesses use AI, mostly for writing and marketing.
8 sources - F-30 · Size gap 13–38 pts
points more AI use in large firms than in small ones (1.4 to 3.2 times as likely).
4 sources - F-31 · Barriers 54–63%
of small firms with no AI plans say AI does not apply to their business.
3 sources - F-32 · Gains 65–78%
of AI-using small firms say AI raised productivity, by their own account.
2 sources - F-33 · Owner hours 45–52 h
a week worked by small business owners, about 10 more than employees.
4 sources
Europe
AI at work in Europe: use by country for companies and workers, the gap with the US, how workers feel, readiness for the AI Act, data protection and investment.
- F-34 · Countries 5–42%
of companies use AI, from Romania (5%) to Denmark (42%); EU average 20%.
5 sources - F-35 · Workers by country 9–37%
of workers used generative AI for work, from Romania (9%) to the Netherlands (37%); EU 22%.
5 sources - F-36 · Europe and US 7–17 pts
points more US workers than European workers use generative AI for their job.
5 sources - F-37 · Attitudes 48–86%
view AI at work positively, by country, from Portugal (48%) to Denmark (86%); EU 62%.
5 sources - F-38 · AI Act 28%
of companies say they understand what the AI Act requires; 71% of German firms feel poorly informed.
3 sources - F-39 · Data protection 53–66%
of firms that use or considered AI cite data protection as an obstacle.
3 sources - F-40 · Investment 12–14×
times more private AI investment in the US than in Europe (2025).
2 sources
How every number is checked
- Primary sources onlyEach range comes from studies we opened and read at the original publisher. Where the publisher has taken a report down, we link the archived copy.
- Ranges across studiesStudies measure different things, so each fact shows where they agree, with every study on one scale and the method beside it.
- Misquotes namedFigures that circulate without a traceable source are listed under "Numbers you may have seen", never used.
- Dated and free to reuseEach fact shows when it was last checked (October 14, 2026). Reuse anything under CC BY 4.0 with credit.