Artificial intelligence is rapidly reshaping the workplace. Employees are using AI to streamline administrative tasks, generate ideas, analyze information and accelerate work that previously required far more time and effort. As organizations continue integrating these tools into daily operations, a growing body of research suggests that women may be engaging with AI differently than men, raising important questions about what is driving this gap and what it could mean for the future of leadership and advancement at work.

A recent Lean In survey found that men are more likely than women to report regularly using AI at work. The research also found that women receive less encouragement from managers to use AI and less recognition when they do. While much of the conversation surrounding these findings has focused on access, training and representation, another important factor deserves attention: confidence. More specifically, the way many high-achieving women have learned to build and protect credibility throughout their careers may be shaping how they approach AI in the workplace today.

Confidence and Credibility

In my work as a leadership coach, I often see women hesitate in situations where they lack a clear roadmap, established expertise and a virtual guarantee that they will get it right immediately. Many women have spent years developing professional identities grounded in preparation, reliability and thoughtful execution. They became successful because they learned how to minimize mistakes, anticipate challenges and demonstrate competence before stepping forward. These strategies often served them well in traditional workplace environments where expertise and precision were closely tied to credibility and advancement.

AI changes those dynamics in important ways. The people moving fastest with AI tools are often not the people with the most technical expertise or the deepest understanding of the technology itself. They are frequently the people most willing to experiment, test imperfect ideas and learn through trial and error. AI rewards curiosity, iteration and adaptability in ways that can feel unfamiliar and uncomfortable for women who have historically been rewarded for polish and certainty.

This distinction is important because hesitation around AI is sometimes interpreted as resistance to change or lack of interest in technology. In reality, the issue may be far more nuanced. A recent 2026 academic study examining gender differences in generative AI adoption found that women’s lower rates of adoption were linked less to technical capability and more to broader concerns about AI’s ethical, societal and workplace implications, including privacy, labor disruption and misuse. These findings suggest that caution around AI may reflect thoughtful evaluation rather than lack of readiness or ability.

The Role of Workplace Culture

Workplace culture plays a strong role as well. Culture influences who feels comfortable engaging with emerging technologies in the first place. Employees are more likely to experiment when they believe the learning process itself will be supported rather than judged. Research published earlier this year found that psychological safety plays a significant role in AI adoption, with employees who feel safer taking interpersonal risks showing greater willingness to engage with AI tools. In workplaces where employees fear appearing uninformed, making mistakes or damaging their credibility, experimentation becomes much harder.

This is particularly important for women who may already feel pressure to continually prove their competence in environments where they remain underrepresented in leadership or technical roles. When the expectation feels like “get it right before you speak up,” AI can introduce a level of ambiguity that feels especially risky. Many AI tools still produce inconsistent results, require refinement and demand ongoing learning. Using them effectively often means asking questions publicly, trying approaches that may not work and navigating uncertainty in real time.

As organizations increasingly prioritize AI fluency, these dynamics may have broader implications for leadership visibility and advancement. Employees who engage early with emerging technologies often gain opportunities to shape workflows, influence strategy and position themselves as innovative contributors. Over time, small differences in willingness to experiment can compound into larger differences in exposure, confidence and career momentum. Research from the Financial Times has already highlighted concerns that AI adoption patterns may reinforce existing workplace inequalities if access, encouragement and visibility remain uneven.

Leaders have an important role to play in shaping how employees experience this transition. Organizations often approach AI adoption primarily as a technical training issue, but the challenge is also deeply cultural and behavioral. Employees need more than access to tools. They need environments where learning is normalized, experimentation is encouraged and uncertainty is treated as part of the process rather than evidence of incompetence.

This may require leaders to rethink how confidence is defined and rewarded within their organizations. Historically, workplace confidence has often been associated with certainty, decisiveness and expertise. Increasingly, confidence in the AI era may depend more on adaptability, openness and willingness to engage before feeling fully prepared. The professionals most likely to thrive may not be those who always have the right answers immediately, but those who are willing to remain engaged while learning, adjusting and evolving alongside rapidly changing technology.

The conversation about women and AI often centers on whether women are falling behind. A more productive question may be what workplace conditions help people feel confident enough to participate fully in moments of significant change and uncertainty. AI is transforming how work gets done, but it is also revealing deeper truths about workplace culture, psychological safety and the ways professionals learn to navigate risk throughout their careers.