Survey Reveals a Gender Gap in Workplace AI Adoption

Artificial intelligence is rapidly becoming part of everyday work. From writing assistance to data analysis and coding support, AI tools are quietly reshaping how professionals approach tasks across industries.

Yet new research suggests that not everyone is adopting these tools at the same pace. A recent workplace survey highlights a noticeable gap between men and women in how frequently AI is used and how comfortable people feel relying on it.

According to a survey conducted by CNBC and SurveyMonkey, men are currently more likely than women to view AI as a valuable workplace assistant and to use it regularly in their daily tasks.

The results point to a growing divide that experts say could influence how workers adapt to an AI-driven economy.

Survey Data Shows Different Levels of AI Adoption

The survey gathered responses from 6,330 adults in the United States between February 10 and February 16, 2026. The research was conducted as part of CNBC’s annual Women at Work reporting series, which examines workplace trends affecting gender equality.

Several findings stand out when comparing responses from men and women.

The data suggests that men are currently more likely to adopt AI tools regularly, while women show greater hesitation about integrating AI into their workflow.

Although the differences may appear moderate on the surface, analysts say they could become significant as AI skills increasingly influence productivity and career advancement.

Why Some Workers Feel Uneasy About AI

Workplace technology shifts often create mixed reactions, and AI is no exception.

In the survey, half of the women surveyed said that using AI at work sometimes feels like cheating, compared with 43 percent of men.

That sentiment reflects a broader concern that AI tools might blur the line between personal expertise and machine assistance. For some professionals, relying on an algorithm to generate ideas or solve problems can feel inconsistent with traditional expectations of individual work.

Others worry about deeper issues connected to AI systems, including potential bias in algorithms, transparency in automated decisions, and the long-term impact on employment.

These concerns are not limited to one gender, but the survey indicates that women currently express them more frequently.

The Productivity Question

One reason the gender gap matters is that AI is quickly becoming tied to productivity gains in many fields.

Modern tools can draft emails, analyze spreadsheets, summarize research, write code, generate marketing content, and assist with data interpretation. In many cases, these capabilities allow workers to complete tasks faster or handle more complex assignments.

Companies across sectors are encouraging employees to experiment with AI tools as part of everyday workflows.

If one group adopts these technologies earlier and more intensively than another, the resulting productivity differences could influence evaluations, promotions, and compensation over time.

That possibility is one reason researchers are paying attention to emerging adoption patterns.

Adoption Gaps Often Appear With New Technologies

Technology adoption rarely happens evenly across populations.

Historically, early adopters tend to experiment more frequently with emerging tools, while others prefer to wait until the technology becomes more established or clearly beneficial.

The same pattern can be seen with AI.

Some professionals are exploring AI assistants for nearly every task, from drafting presentations to organizing research notes. Others are taking a more cautious approach, testing the tools occasionally or avoiding them entirely until clearer guidelines exist.

These differences are shaped by several factors, including workplace culture, training opportunities, and perceptions of risk.

Companies May Need to Address the Divide

Experts say organizations hoping to benefit from AI adoption should pay attention to how employees experience these tools.

Training programs, transparent policies, and clear expectations around responsible AI use can help employees feel more comfortable integrating new technologies into their work.

Providing equal access to AI tools and structured learning opportunities may also help ensure that adoption gaps do not unintentionally reinforce existing workplace inequalities.

Encouraging experimentation while maintaining ethical guidelines is becoming a common strategy for companies introducing AI across teams.

A Snapshot of a Changing Workplace

The survey results do not necessarily indicate a permanent divide. AI technology is still evolving rapidly, and workplace habits are changing alongside it.

As tools improve and organizations develop clearer frameworks for responsible use, adoption patterns may shift.

What the survey captures is a moment during a major technological transition, when employees are still deciding how much trust to place in AI systems and how those systems fit into professional workflows.

The coming years will likely reveal whether these early adoption patterns persist or gradually level out as AI becomes a routine part of modern work.