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Wednesday, February 25, 2026

How Americans Are Using AI at Work, According to a New Gallup Survey

A new survey from Gallup shows that artificial intelligence is steadily becoming part of everyday work for many Americans, though adoption remains uneven across roles, industries, and seniority levels.

The findings suggest that while AI tools are no longer niche or experimental, they are still primarily used as productivity aids rather than autonomous decision-makers, highlighting an early but meaningful stage of workplace AI integration.


AI Adoption Is Growing, but Still Limited

According to the survey, a significant portion of US employees report using AI tools at least occasionally in their jobs. However, regular and advanced usage remains concentrated among specific groups—particularly knowledge workers, managers, and professionals in technology-heavy roles.

Most employees who use AI say they do so a few times a week or less, indicating that AI has not yet become a constant or core part of daily workflows for the majority of workers.


Common Ways Employees Use AI at Work

Among those who use AI, the most common applications include:

  • Drafting and editing written content

  • Summarizing documents and reports

  • Conducting research and information lookup

  • Brainstorming ideas and presentations

  • Assisting with basic data analysis

These use cases position AI as a support tool that augments human work, rather than replacing tasks outright.


Managers and Professionals Lead AI Usage

The survey shows that managers and senior professionals are more likely to use AI tools than frontline or hourly workers. This gap reflects differences in job responsibilities, access to digital tools, and opportunities to experiment with emerging technologies.

Workers in fields such as technology, finance, consulting, and professional services report higher AI usage, while adoption remains lower in sectors that rely more on physical or customer-facing labor.


Concerns About Accuracy and Trust Persist

Despite growing interest, many employees remain cautious. Survey respondents cited concerns around:

  • Accuracy of AI-generated information

  • Data privacy and security

  • Overreliance on automated outputs

  • Lack of clear guidance from employers

These concerns are limiting broader adoption, particularly in regulated or high-stakes environments where errors can carry significant consequences.


Employer Support Makes a Key Difference

One of the strongest signals from the survey is the role employers play in shaping AI adoption. Employees who receive clear policies, training, and encouragement are significantly more likely to use AI confidently at work.

Conversely, a lack of formal guidance leaves many workers unsure about whether AI use is allowed, appropriate, or valued—slowing adoption even when tools are available.


AI Seen as a Productivity Booster, Not a Threat

Notably, most employees who use AI do not see it as a direct threat to their jobs. Instead, they view it as a way to save time, reduce repetitive work, and improve output quality.

This perception contrasts with broader public anxiety about AI-driven job displacement and suggests that firsthand exposure to AI tools may reduce fear while increasing practical understanding.


A Workplace Still in Transition

Gallup’s findings point to a workplace in transition: AI is present, growing, and increasingly normalized—but not yet transformative for most workers. Widespread impact will likely depend on better tools, stronger governance, and clearer organizational strategies.

As employers refine how AI fits into daily work, usage is expected to expand beyond early adopters and into more routine roles.


What This Means Going Forward

The survey underscores that AI’s impact on work will be incremental rather than sudden. Organizations that invest in training, trust, and thoughtful integration are likely to see greater benefits, while those that leave AI adoption to chance may fall behind.

For now, AI at work in the US is best described as useful, uneven, and still evolving.

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