A U.S. Census Bureau survey published August 11 found that 55% of workers had used AI on the job for at least one of 11 tasks. Among workers who used AI in the prior week, 31% said it saved one to two hours and 25% said it saved less than an hour, underscoring that workplace use is widespread but its reported time benefit varies.
More than half of U.S. workers reported using artificial intelligence on the job, according to new Census Bureau findings from the March 2026 Household Trends and Outlook Pulse Survey. The Bureau said 55% of workers had used AI for at least one of 11 work tasks, including searching for technical help, writing, generating ideas, interpreting information, and administrative work.
The results add a nationally reported view of workplace use, but they should not be read as a single measure of productivity. The survey asks workers to describe their own usage and the time they believe AI changed for a task; it does not independently measure an employer's output or establish that every reported time saving translates into organization-wide gains.
What workers reported
Among people who used AI at work in the prior week, 31% said completing a task without it would have taken one to two additional hours. Another quarter said the difference was less than an hour. Smaller shares reported larger time reductions, while 10% said AI did not save time and 3% said using it required additional time.
The task breakdown also shows that use is not confined to coding. The most commonly reported applications were finding information or technical help, drafting communications or documentation, generating ideas, interpreting or summarizing information, and administrative tasks. Coding, customer support, health-related work, and logistics were reported less often.
How to interpret the survey
The Census release describes a bi-monthly household survey and says its comparative statements underwent statistical testing at the 90% confidence level. The data provide a useful baseline for how workers say they are incorporating AI into everyday work, especially across task categories and education levels.
For practitioners, the practical implication is to separate adoption from verified impact. A team can use the survey as evidence that AI use has spread beyond specialist roles, then measure its own cycle time, quality, review load, and training costs before treating self-reported time savings as a business case. The Census figures describe reported experience, not a guaranteed productivity result for every workplace.
Key Points #
- 1The Census Bureau reported that 55% of workers had used AI on the job for at least one surveyed task.
- 2Among prior-week workplace AI users, 31% reported saving one to two hours and 25% reported saving less than an hour.
- 3The survey measures worker-reported use and perceived time effects, not a universal causal productivity estimate.
Scoring Rationale #
National survey results quantify how workers report using AI across common job tasks and how they perceive its time effects.
Sources #
Primary source and supporting public references used for this report.
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