OpenAI funds $1B to fix AI's downsides

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Mar 24, 2026

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11:13pm UTC

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OpenAI has billions in funding earmarked for “scaling AI for everyone.” Now, it’s reaching out a hand.

On Tuesday, the company's non-profit arm announced that it would spend $1 billion on AI-related philanthropic efforts through the OpenAI Foundation, part of its previously announced $25 billion commitment to “curing diseases and AI resilience.” OpenAI said it would focus the funding on several different efforts, including life sciences, economic impact and community programs.

Additionally, the company tapped several new leaders for this work, including Wojciech Zaremba, a co-founder of OpenAI, as head of AI resilience; Jacob Trefethen from Coefficient Giving as head of life sciences and curing diseases; and Anna Makanju, former VP of global impact at OpenAI, as head of AI for civil society and philanthropy.

OpenAI will also invest in initiatives to protect society from the biggest risks of AI, including “biological threats” and data-driven research and evaluation on AI’s impact on youth.

“Advanced AI models will also present new challenges that are already surfacing, and we need to be prepared to identify these challenges and develop solutions to address them,” OpenAI said in its announcement.

The funding skyrockets the philanthropy that OpenAI’s non-profit division has done thus far: According to Bloomberg, the OpenAI Foundation gave away $7.5 million last year. And in December, the OpenAI Foundation said it would award over $40 million to more than 200 nonprofits across the country.

However, OpenAI’s giving mood follows Anthropic co-founder pledges to donate billions to campaigns dedicated to “effective altruism,” or philanthropy. In other words, donate to causes where their money can do as much societal good as possible.

Our Deeper View

OpenAI and other tech giants that donate to these causes are essentially aiming to solve problems that their models are causing. Rather than slowing down the development of their models, they’re addressing problems as they arise: mental health impacts, biological threats, model safety, and more. Additionally, funding efforts in life sciences and disease cures are another attempt to push the narrative of developing ultrapowerful systems in the name of human progress. So we have to keep in mind that this still serves the AI industry's larger utopian narrative.