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AI Inidicator > Top Card > 2026-QTR 3 [UPDATE]

Artificial Intelligence

Key finding: Three in 10 U.S. employees (30%) use AI at work a few times a week or more. Manager support is the strongest driver of widespread adoption.

Gallup tracks workplace AI adoption over time, including usage frequency, employee comfort, manager support, organizational integration and strategic communication. Employees whose managers actively support AI use are nearly twice as likely to use it frequently and seven times as likely to say it helps them do what they do best. Manager enablement is critical to turning AI investment into real business value.

What We Measure

What Percentage of Employees Use AI at Work?

As of May 2026, 15% of U.S. employees use AI daily in their role, 30% use it a few times a week or more, and 52% use it a few times a year or more. Explore AI use by industry.

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Key Insight
Experimentation is widespread, but regular adoption remains limited. Three in 10 employees have integrated AI into their weekly workflows.

Does AI Improve Productivity at Work?

As of May 2026, 65% of employees working in organizations that have implemented AI say it has had a positive effect on their productivity and efficiency at work, including 17% who say the impact has been “extremely positive.”

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Is AI Really Changing the Way People Work?

As of May 2026, 14% of employees in organizations that have implemented AI strongly agree it has transformed how work gets done in their organization.

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Key Insight
Two in three employees say AI has improved their productivity — yet just 14% strongly agree it has changed how work gets done. This suggests that, for most workers, AI is a productivity enhancer within existing workflows rather than a catalyst for reinvention.

Do Managers Support Employee Use of AI?

As of May 2026, nearly four in 10 employees (36%) in AI-integrating organizations strongly agree that their manager supports their team’s use of AI.

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This matters because Gallup’s research shows employees in AI-adopting organizations who strongly agree that their manager actively supports their team’s use of AI are:

1.7x as likely to use AI a few times a week or more

7.4x as likely to strongly agree that AI gives them more opportunities to do what they do best every day

8.7x as likely to strongly agree that AI has transformed how work gets done in their organization

Key Takeaway
Organizations that want AI adoption to grow should start by equipping their managers.

What Percentage of Companies Have Integrated AI?

As of May 2026, 47% of U.S. employees say their organization has integrated AI technology or tools to improve organizational practices.

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The integration-adoption lag: While nearly half of U.S. organizations have begun integrating AI, only 30% of employees use it regularly. This suggests implementation doesn’t guarantee use.

Do Most Companies Have a Clear AI Strategy?

Employees don’t think so. As of May 2026, 25% of U.S. employees say their organization has communicated a clear plan for integrating AI into current practices.

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The strategy vacuum: Three in four employees report that their organization has not communicated a clear AI plan, which may contribute to low comfort levels and limited adoption.

Does AI Use Vary by Industry?

As of May 2026, daily AI use varies widely by industry. Three sectors clearly lead the pack — technology (42%), finance (27%) and professional services (22%) — while daily use across the remaining seven industries ranges from 9% to 15%. See the full breakdown below.

Download AI use trends by industry.

Results for the Gallup poll of U.S. employees are based on self-administered web surveys of a random sample of adults who are aged 18 and older, working full time or part time for organizations in the United States, and members of the Gallup Panel. Gallup uses probability-based, random sampling methods to recruit its Panel members. Gallup weighted the obtained samples to correct for nonresponse. Nonresponse adjustments were made by adjusting the sample to match the national demographics of gender, age, race, Hispanic ethnicity, education and region. Demographic weighting targets were based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. In addition to sampling error, question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of public opinion polls.

Gallup defines "Total AI users" as employees who say they used AI at work a few times a year or more. "Frequent AI users" are those who indicate they use AI at work a few times a week or more. Reporting on employees who say their organization has implemented AI includes all employees who at the time of survey said "yes," to the best of their knowledge, their organization had implemented AI technology or tools to improve organizational practices. Starting in Q3 2025, Gallup added a “don’t know” option to this question to capture uncertainty about AI adoption. Because respondents could now indicate a lack of knowledge, results from Q3 2025 and later for this question are not directly comparable with earlier measurements.

In line charts on this webpage, Gallup labels some data points with a year and month. Years that have only one data point labeled with the year and "Jan" (abbreviated for "January") reflect annual survey results. Years that have one data point labeled with a specific month besides January or that have multiple data points labeled with specific months reflect results obtained during the noted month(s). When Gallup’s survey field dates for one data point occur in more than one month, Gallup labels the data point with the ending month.

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Next Steps

How Does Your Workplace AI Policy Compare?

Global data tell a story — but the story of your organization is different. Visit the resources below for your next steps:

Accelerate your AI transformation.

Learn how leading organizations are approaching AI adoption to boost productivity, improve decision-making and engage employees.

Unlock the power of great partnerships with AI insights.

Discover how Gallup’s Team and Partnership AI Insights can help you build stronger teams, improve collaboration and achieve better results together.

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