Research from multiple universities shows women use AI tools about 25% less than men even though jobs held by women face higher automation risk. Experts warn this behavioral gap could produce a 'two‑tiered' AI economy and weaken diversity in AI development and leadership. For higher education, the finding is a call to action for curricula, recruitment and retention: computer‑science departments and centers for digital skills should expand inclusive training, design women‑centered AI labs and funding streams, and measure adoption in cohorts so career outcomes do not widen existing inequities.