9.6% vs. 3.5%. That's the percentage of women's jobs vs. men's jobs in the highest AI automation risk category. Nearly 3x the exposure. Source: The UN's International Labor Organization and Poland's National Research Institute (NASK) - the most comprehensive study on AI workforce disruption to date, released May 2025. The findings challenge everything we thought we knew about who's at risk: Women face IMMEDIATE displacement from white-collar clerical and administrative roles. Men face MEDIUM-TERM displacement from blue-collar physical labor roles (1.5M trucking jobs, 2M manufacturing jobs by 2030). Both groups need to adapt. Just on different timelines. And here's the compounding problem: Harvard Business School found women use AI tools at 25% lower rates than men. They're in more vulnerable roles AND less likely to be building skills that could help them transition. This isn't about politics. It's about understanding risk factors for career planning. New episode of Surviving AI breaks it all down with actionable strategies for everyone. Link in comments. #AI #WorkforcePlanning #Automation #CareerStrategy #FutureOfWork

"Quick note before we dive in: This episode was created using AI tools, including Claude for research and scripting, Notebook LLM for voice generation, and Eleven Labs for intros. I'm demonstrating the very technology we're discussing - AI as a creative collaborator, not a replacement. Okay, let's get into it..."