Gallup Poll Reveals 50% of U.S. Employees Use AI at Work Amid Resistance

The increasing integration of AI in workplaces signals a shift in productivity dynamics and workforce expectations.

• 50% of U.S. employees reported using AI at work at least a few times a year, a notable increase from previous surveys.
• 65% of AI users in adopting organizations experienced productivity gains, particularly in management, healthcare, and tech roles.
• 41% of organizations have integrated AI tools, yet half of employees still rarely or never use them due to various concerns.

• Gallup's ongoing surveys have tracked AI adoption since the post-ChatGPT era, revealing a steady increase in usage among U.S. employees.
• Skepticism remains high, with many employees citing ethical concerns, privacy issues, and a preference for traditional workflows as barriers to adoption.
• Job elimination fears are growing, with 18% of employees believing their roles could be at risk due to AI, particularly in firms that have adopted these technologies.

The recent Gallup poll conducted from February 4 to 19, 2026, highlights a significant milestone in AI adoption within U.S. workplaces. With 50% of employees using AI tools at least a few times a year, the trend reflects a growing acceptance of technology that was once met with skepticism. This increase is attributed to the proliferation of user-friendly AI tools like ChatGPT and Gemini, which have demonstrated their potential to enhance productivity, particularly in knowledge-intensive roles.

Despite the positive outlook, a substantial portion of the workforce remains resistant to AI integration. Approximately 50% of employees reported rarely or never using AI tools, primarily due to a preference for established workflows (46%), ethical concerns regarding AI's implications (40%), and a perceived lack of utility or preparation for using these technologies (20%). This resistance is particularly pronounced among non-users, who often view AI as a threat to their job security, especially in industries where automation is most likely to occur.

The organizational landscape is also shifting, with 41% of firms adopting AI technologies. Among these adopters, 65% of users reported improvements in productivity and efficiency. This trend is most notable in sectors such as management, healthcare, and technology, where the benefits of AI can be more readily realized. However, the perception of job elimination risks has also increased, with 18% of employees overall believing their jobs could be at risk due to AI, and this figure rises to 23% in firms that have embraced AI.

As organizations navigate this complex landscape, the need for training and support becomes paramount. Experts emphasize that addressing employee concerns and providing adequate training can help mitigate resistance and foster a more inclusive environment for AI adoption. The current state of AI in the workplace illustrates a critical juncture where productivity gains must be balanced against ethical considerations and employee apprehensions.

• Management roles: Likely to see immediate productivity gains and efficiency improvements.
• Healthcare professionals: Benefiting from AI tools that streamline processes and enhance patient care.
• Tech industry workers: Experiencing shifts in job roles and responsibilities as AI tools become integrated into workflows.
• Non-users: Facing potential job security concerns and a growing skills gap as AI adoption accelerates.
• Lower-income workers: More likely to feel the impact of job automation and may lack access to training resources.

• Training initiatives: Watch for organizations investing in employee training programs to ease the transition to AI tools, which could influence overall adoption rates.
• Job market shifts: Monitor staffing changes in AI-adopting firms, as hiring expansions and reductions could signal broader trends in workforce dynamics.
• Employee sentiment: Keep an eye on surveys gauging employee attitudes towards AI, as shifts in perception could impact future adoption and integration strategies.