DOI
10.9707/1944-5660.1748
Key Points
As artificial intelligence rapidly reshapes society, philanthropy is increasingly called to act as "risk capital" for the public good. But risk alone is not enough. Without rigorous, field-wide learning, philanthropy's bold bets may remain isolated and short-sighted, failing to catalyze the systemic change this moment demands.
This article draws on three sources of learning at Omidyar Network—an evaluation of The Tech We Want initiative, external strategy consultations with 29 stakeholders, and early learnings from a generative AI portfolio—to identify how philanthropy can uniquely "de-risk" AI innovation for collective benefit.
Through trust-based partnerships, ecosystem infrastructure support, and narrative change, these learning opportunities revealed that philanthropy must show up beyond funding, signaling what works, sharing lessons openly, and creating enabling conditions for others to act.
This article identifies four critical insights for how philanthropy can use learning to unlock collaboration, shift public narratives, and equip the field to act with both urgency and wisdom in shaping AI's trajectory toward shared power, prosperity, and possibility.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Sabarre, N., Bennett, C., & Chavez-Varela, L. (2025). Philanthropy as Risk Capital: Shaping Trust and Learning at the Speed of AI. The Foundation Review, 17(3). https://doi.org/10.9707/1944-5660.1748
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