A Gallup survey conducted in early February found that roughly half of U.S. workers used artificial intelligence (AI) at work at least a few times over the past year, indicating steady growth in workplace adoption. The poll collected responses from 23,700 U.S. employees between February 4 and February 19, 2025.
Frequency of use and year‑over‑year change
Regular AI use is increasing: 13 percent of respondents said they used AI daily, and 28 percent used it a few times a week. Those figures represent a notable rise from 2023, when daily use was 4 percent and a few times a week was 11 percent.
At the organizational level, two in five workers said their employers had introduced AI tools, and one quarter of companies reported having clear AI strategies.
Impact on productivity and workflows
Among employees in organizations that used AI, 65 percent said it improved their productivity and 31 percent said it changed the way they worked. Only 7 percent of respondents in those organizations disagreed that AI had affected their work.
The findings suggest that most workers use AI to assist their tasks rather than to replace them: AI tends to augment existing processes rather than fully substitute established workflows.
Role of managerial support and corporate environment
Managerial support matters: employees whose managers strongly supported AI use in organizations that deployed AI were more likely to adopt the technology and to report that it transformed their work.
Barriers to broader adoption
Low users and non‑users commonly reported a desire to continue doing the work they currently do. Other widespread obstacles to adoption include ethical concerns, data‑privacy worries, and experiences or beliefs that AI tools were not useful to them.
Broader context: mixed economic signals
Views on AI’s macroeconomic impact remain mixed. Torsten Slok, chief economist at Apollo, has observed that while AI is omnipresent in tech discussions, that prevalence is not always visible in incoming macroeconomic data. Other research points to tangible labor‑market effects: a study by Stanford economists last year found employment declines among occupations likely to be affected by AI, such as software developers and customer‑service representatives.
Conversely, some analyses indicate hiring gains tied to AI investment: a Brookings study in 2025 found that firms investing in AI tended to hire more workers.
Why this matters
Gallup’s results imply that workers largely use AI to assist their jobs, potentially freeing them from repetitive tasks and raising productivity for employers. At the same time, AI could fully automate some roles. It remains unclear whether AI‑driven productivity increases will reduce or expand overall employment in the long run.
Conclusion
Workplace AI adoption is accelerating and most current users report productivity benefits, but adoption remains uneven and depends heavily on employer strategy and managerial support. The longer‑term effects on employment will require continued observation and research.
