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OpenAI and Rockefeller Foundation launch $50 million urban AI fund

OpenAI Foundation and the Rockefeller Foundation announced a $50 million “Cities Deliver” fund aimed at improving the lives of 100 million people worldwide. Grants of up to $2 million will be offered to organisations that partner with local governments, with applications accepted until November 29, 2026. Anna Makanju, who leads AI for civil society and philanthropy at the OpenAI Foundation, said…

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Key points

  • $50 million Cities Deliver fund created by OpenAI Foundation and Rockefeller Foundation
  • Grants up to $2 million available to organisations partnering with local governments
  • Fund aims to improve lives of 100 million people and runs until Nov 29 2026

The fund cites earlier projects such as an AI‑driven dengue‑outbreak predictor in Cali, Colombia, a messaging‑platform initiative to boost civic dialogue in Cape Town, South Africa, and an AI‑assisted flood‑response system in Rio de Janeiro, Brazil. The 24‑month support model requires permanent integration into municipal systems, avoiding one‑off pilots. The article highlights how Japanese local governments could use the programme to address disaster prevention, healthcare, and aging‑infrastructure issues through public‑private partnerships.

The initiative reflects a growing trend of philanthropy‑backed AI deployments that target concrete public‑service outcomes, offering a template for other regions seeking scalable, sustainable urban AI solutions.

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Full story from note.com · by まほ|不動産デスク · via Search: OpenAIOpen source ↗

OpenAI and the Rockefeller Foundation Launch! A $50 Million 'Urban AI Fund' to Change the Lives of 100 Million People

note.com · 26 October 2026

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This text was published by note.com and written by まほ|不動産デスク. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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OpenAI FoundationRockefeller FoundationAnna Makanju

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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