Artificial intelligence is advancing rapidly, but access to its most powerful tools remains uneven, with billions of people still excluded. Many frontline workers in health, education, and agriculture lack AI solutions tailored to their contexts, while resources remain concentrated among wealthier institutions. Closing this gap requires designing AI with equity at its core, directing resources to overlooked communities, and building alongside those who will use these tools.
To address this challenge, the Gates Foundation and Anthropic have announced a new multi-year partnership worth $200 million over four years. The collaboration combines Anthropic’s AI expertise with the Gates Foundation’s experience working with governments, scientists, and underserved communities. The funding will support grants, API credits, and technical assistance to develop AI tools and shared public goods across health, education, and agriculture.
In health, the partnership will focus on accelerating vaccine development and making large datasets more accessible for researchers and policymakers. Early applications include tools to advance childhood vaccines and treatments for cervical cancer and preeclampsia. Efforts will also modernize disease-tracking systems, working with institutions like the Institute for Health Metrics and Evaluation to provide sharper insights for public health leaders.
In education, the initiative will build shared infrastructure to make AI more effective for teaching and learning. By improving how models understand student progress, teachers will be able to identify learning gaps earlier and provide personalized support. Students will also benefit from AI-enabled college and career navigation systems, helping them transition more effectively into the workforce.
In agriculture, the partnership will support tools that provide farmers with real-time, locally relevant guidance in their own languages. AI will help farmers make better decisions on planting, soil health, crop disease, livestock care, and market conditions, while also supporting extension workers and public agencies.
The measure of success will be how well these technologies work in real-world contexts—whether a farmer in Kenya receives better advice, a teacher in India tailors lessons more effectively, or a health worker in Nigeria treats more patients without longer hours. Initial projects will expand based on results, guided by governments and communities, with a focus on safety, reliability, and practical impact.
This partnership builds on both organizations’ broader AI efforts, aiming to ensure that AI development benefits those most in need. By investing in shared public goods and community-led solutions, the initiative seeks to make AI more accessible, equitable, and transformative across the globe.
