Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
Most AI users report using it at work to consolidate information and generate ideas.
The percentage of U.S. employees who reported using AI at work at least a few times a year increased from 40% to 45% between the second and third quarters of 2025. Frequent use (a few times a week or more) grew from 19% to 23%, while daily use moved less, ticking up from 8% to 10% during the same period.
The latest Gallup Workforce results are based on a nationally representative survey of 23,068 U.S. adults employed full- and part-time conducted by web Aug. 5-19 using the Gallup Panel.
U.S. employees working in knowledge-based jobs, such as technology or professional services, were more likely to use AI than those in frontline positions. Seventy-six percent of employees in technology or information systems, 58% in finance, and 57% in professional services used AI in their role a few times a year or more. In contrast, within industries with higher rates of frontline employees, 33% of employees in retail, 37% in healthcare and 38% in manufacturing reported using AI at work at the same frequency.
In Q3 2025, 37% of employees said their organization has implemented AI technology to improve productivity, efficiency and quality. Forty percent said their organization had not, and 23% said they did not know. The percentage of those who said they did not know was lower than the percentage who reported using AI at work at least a few times in the past year, but higher than the percentage who reported using it frequently. This gap suggests that a portion of employees used personal AI tools or otherwise used AI without awareness of their organization’s AI strategy.
Employees in individual contributor roles (26%) were more likely than managers (16%) and leaders (7%) to say they did not know whether their organization had implemented AI technology. Part-time employees, those working on-site, and employees in frontline roles or industries also reported higher uncertainty. Employees who are further from organizational decision-making have been less aware of AI implementation.
A previous version of this question did not offer a “don’t know” response, which effectively encouraged respondents to make their best guess. Under that format, the share of employees who believed their organization had implemented AI rose from 33% in May 2024 to 44% in May 2025, while the share saying their organization had not implemented AI fell from 67% to 56%.
In the latest survey, Gallup added a “don’t know” option to capture uncertainty about AI adoption. Because respondents could indicate a lack of knowledge, the Q3 2025 results are not directly comparable to earlier measurements. The fact that 23% chose “don’t know” highlighted substantial variation in how well information about AI adoption was reaching employees.
More than four in 10 employees surveyed in Q2 2025 who used AI at least yearly indicated that they used AI technology to consolidate information (42%) and generate ideas (41%) and 36% said they used it to learn new things. What employees reported using AI for did not change meaningfully from Gallup’s initial measure in Q2 2024.
In answer to a question asking what types of AI they used in their role, more than six in 10 U.S. employees who used AI at work reported using chatbots or virtual assistants. AI writing and editing tools were the next most commonly used tools (36%), followed by AI coding assistants (14%).
While the use of more advanced or specialized AI tools — such as those designed for data science, analytics or coding — is still relatively rare, employees who reported using AI at work frequently were more likely to use such tools. The largest gap between frequent and less frequent workplace AI users was in the use of coding assistants (22% vs. 8%) and data science or analytics tools (18% vs. 8%).
AI use in the workplace continues to grow, with 45% of employees in Q3 2025 saying they used AI at least a few times a year. Even so, daily use is still limited to about 10% of the American workforce, trails organizational AI adoption rates, and is concentrated in specific roles and industries. Gallup research shows broader AI adoption among employees is strongly associated with having greater managerial support for AI and strategic integration of AI in their role.
These results for the quarterly Gallup workforce studies (noted as “WF QX” in footnotes) are based on self-administered web surveys conducted with a random sample of adults working full time and part time for organizations in the United States, aged 18 and older, who are 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.
For results based on the sample of employed U.S. adults, the margin of sampling error at the 95% confidence level varies for different topics and time frames. Details for the recent quarterly surveys are noted below. 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.
Survey dates, sample size (among employed U.S. adults), margin of error and design effect by quarter for each Workforce study.
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White-collar workers and leaders are the primary users. Leaders can further drive AI adoption by clearly communicating why and how to use it.
Despite rising investment, few firms see AI ROI. The missing link: managers who encourage the adoption of AI by guiding employees and workflows.
Despite improvements, Americans remain concerned about whether businesses will use AI responsibly and what impact it will have on job availability.
Discover Gallup AI and get research-backed answers to help you use and coach with CliftonStrengths, engage employees, and solve workplace challenges.
Gallup https://www.gallup.com/workplace/699689/ai-use-at-work-rises.aspx
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