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Women in AI Grant Program is a grant from Women in AI that funds women entrepreneurs in the United States developing artificial intelligence and machine learning solutions, with the goal of increasing the presence and leadership of women in the AI field. The program supports a global community of women from diverse backgrounds who are building AI-powered products and companies. Grant awards range from $50,000 to $150,000.
Eligible applicants are women entrepreneurs in the U.S. who are developing AI or ML solutions and are committed to building more diverse and inclusive AI ecosystems.
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According to the current listing, eligibility includes: Women entrepreneurs in the U. S. developing AI/ML solutions. Confirm the full requirements in the official notice before applying.
The current listing shows $50,000 - $150,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Women in AI Grant Program is funded by Women in AI. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
USDA-NIFA-WAMS-011117 posted September 4, 2026 with $1,905,210 across an estimated 12 awards of $25,000 to $200,000, closing September 14, 2026. The opportunity title is now simply "Science, Technology, Engineering, and Mathematics Fields." Assistance listing 10.318 still reads "Women and Minorities in Science, Technology, Engineering, and Mathematics Fields" — and NIFA's own program page says the program is not funded for FY2026.
Read articleA PNAS study reveals NIH grant terminations disproportionately hit women and junior researchers. The data exposes how blunt funding cuts deepen structural inequities in science.
Read articleA new PNAS study finds women lost 57.9% of their NIH grant funding versus 48.2% for men. A companion STAT survey of 1,000 researchers reveals mass layoffs and canceled research.
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