Sheryl Sandberg Tapped a 25-Year-Old to Run Lean In. Here’s Her Plan to Close the AI Gender Gap

Why It Matters

Accelerating AI adoption among women addresses a growing talent gap and mitigates automation risk, while Lean In’s pivot signals nonprofit sector’s response to tech‑driven inequality.

Key Takeaways

• Lean In hires 25‑year‑old Bridget Griswold as CEO.
• Survey shows 33% men vs 27% women use AI daily.
• Women 23% less likely to receive manager AI support.
• Women three times more likely to face AI automation.
• Lean In cut 25% staff amid strategic pivot.

Pulse Analysis

The gender divide in artificial‑intelligence adoption is becoming a strategic concern for businesses and policymakers alike. Lean In’s recent survey highlights that men are six percentage points more likely to use AI tools every day, a gap that compounds over time as AI reshapes job functions and decision‑making processes. Women also report higher anxiety about ethics and accuracy, leading to lower usage rates and fewer commendations from managers. These subtle disparities can translate into reduced skill development, limiting women’s competitiveness in an increasingly automated workforce.

In response, Sheryl Sandberg has placed Bridget Griswold—an "AI native" with a product background—at the helm of Lean In. Griswold’s rapid rise from head of product and AI to CEO underscores the nonprofit’s urgency to embed technology expertise in its leadership. The move follows a 25% staff reduction, reflecting a broader realignment toward AI‑focused programs. By leveraging her experience at Meta, Griswold aims to create resources that demystify AI for women, provide ethical guidelines, and foster mentorship that counters the current bias where men receive more praise and managerial encouragement for AI use.

The initiative’s broader implications extend beyond Lean In’s membership. As companies grapple with talent shortages in AI development, a more inclusive pipeline can enhance innovation and reduce the risk of homogeneous algorithmic outcomes. Monitoring and publicly reporting gender‑based usage metrics, as Lean In does, equips managers to recognize unconscious bias and adjust support structures. If successful, the nonprofit’s model could inspire corporate diversity programs to integrate AI literacy, ultimately narrowing the automation vulnerability gap that disproportionately threatens women’s roles across sectors.