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AI Did It Again funding challenge is sponsored by Young Futures (Arthur M. Blank Family Foundation as a past funder). This funding challenge offers grants to nonprofits pursuing innovative solutions that address the urgent need to equip young people with the skills, knowledge, and confidence to navigate AI, which is rapidly reshaping their learning, creativity, relationships, and mental health.
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Or search similar grants →According to the current listing, eligibility includes: Nonprofit organizations, particularly young leaders themselves or intergenerational teams working closely with youth. Confirm the full requirements in the official notice before applying.
AI Did It Again funding challenge is funded by Young Futures (Arthur M. Blank Family Foundation as a past funder). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
FA955026S0003 posted September 8 with full proposals due December 4, 2026 — but a five-page white paper is required by October 9, questions close September 17, and the PhD window admits degrees earned after April 1, 2019 only. At $450,000 over three years with no collaborators permitted, this is the most restrictive of the three service early-career programs and the only one with an LPS quantum carve-out.
Read articleNOFO N0001426SF004 offers roughly 25 awards at $750,000 over 36 months to first- and second-appointment faculty. No cost share, no white paper stage — and an eligibility clock that admits PhDs earned on or after January 1, 2019 and nobody earlier. The program officer conversation, not the proposal, is the part most applicants get wrong.
Read articleGates committed $540.2 million over a decade to the Institute for Health Metrics and Evaluation — the largest gift in University of Washington history — while IHME's federal grant income falls from $7.3 million to a projected $4.8 million. The gift is a case study in the anchor-funder model: what it can do that federal money cannot, and the concentration risk it quietly underwrites.
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