Description

Across industries, studies show women adopt generative AI tools at a rate about 25% lower than men. But does slower adoption mean falling behind or is there a bigger story at play?

In this episode of Leading Change in the Wild, I dive into the Harvard research and explore why women are opting out of AI at higher rates, what role risk aversion plays, and how the future of work may actually favor uniquely human skills, many of which women excel at.

📉 Here’s what I unpack:

• The gender gap in AI adoption and why it exists
• How risk perception, ethics, and digital literacy influence adoption choices
• Why technical skills are not the only driver of success in an AI-driven future
• How soft skills and human-centered capabilities may redefine opportunity
• What leaders can do to create inclusive, empowering AI adoption strategies

The lesson is clear. AI is not just about who clicks “download” first. Real advantage comes from combining technology with human judgment, creativity, and ethical decision-making.

👇 Let’s discuss:
 Do you think slower AI adoption among women is a real disadvantage?
 Which human skills will be most critical in an AI-driven workplace?

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