In a survey it was found that half of U.S. workers are already using artificial intelligence in the workplace

How the use of artificial intelligence at work is changing in the United States

Indicator Value Survey participants (Gallup) 23 717 employees Dates conducted February 4–19, 2026 Percentage of workers using AI 50 % (from 21 % in Q2 2023 and 4 % higher than in Q4 2025) Daily AI use 13 % – record high Use several times a week 28 %

What the data say
1. Growth in adoption

In the first quarter of 2026, the number of employees using AI daily reached a new maximum—13 %. Some of them use the technology several times a week—28 %.

2. Effectiveness issues

According to a survey by the National Bureau of Economic Research, more than 80 % of managers see no tangible results from AI: neither increased productivity nor reduced personnel costs.

3. Failures and adaptation

- 27 % of employees working with AI report significant or very significant failures in the past year.
- At the same time, 12 % of workers at companies without AI note similar problems.
This makes conclusions about AI’s impact on work stability ambiguous.

4. Personnel and HR policy

Employees where AI is implemented report:
- 34 % believe management is actively expanding staff (compared with 28 % in companies without AI).
- 23 % note an increase in workforce reductions (vs. 16 % in other firms).

5. Assessment of impact on productivity

- 65 % of employees using AI see a positive effect on work efficiency.
- 16 % rate the impact as “extremely positive”.

6. Quality of the work process

Participants noted that AI is useful for specific tasks (e.g., summarizing information), but does not always improve the overall working environment:
- 10 % reported negative influence.
- 21 % believe AI transforms ways of doing work.

Conclusions
- AI is growing rapidly in U.S. companies, but its implementation comes with failures and does not always lead to expected resource savings.

- Employers face serious work adapting processes: balancing staff growth and reductions, minimizing technical problems, and increasing the value of AI for employees.

Thus, despite the rising popularity of artificial intelligence, its real impact on productivity remains ambiguous, requiring further research and strategic planning.