A young farmer in his vegetable garden references information on his tablet.
Our approach to AI

AI for Equity

AI can accelerate progress toward a world where everyone, no matter where they are born, has the opportunity to live a healthy, productive life.

But moving from potential to impact isn’t inevitable. It depends on making deliberate choices: prioritizing the needs of people who are often left out and working closely with the institutions that serve them to design tools that truly deliver.

Our work in AI is focused on ensuring these benefits reach people most often left out. We work with governments and public sector partners—alongside health workers, teachers, policymakers, and farmers across low- and middle-income countries, as well as underserved communities in the United States—to build solutions grounded in real-world needs.

We’re going to do all we can to ensure AI is designed with equity in mind, so that its benefits reach people who are too often left behind.

Mark Suzman, CEO, from the Gates Foundation 2026 Annual Letter 

Accelerating Progress With AI: Focus Areas

AI can help solve some of the world’s toughest challenges—by making limited resources go further and opening new paths to progress.

We focus where it can make the greatest difference: health, education, and agriculture—working with partners to help countries adopt and use AI effectively to support these underserved communities.

Opeyemi Akinajo, Consultant in Obstetrics and Gynecology, Lagos University Teaching Hospital (LUTH), (left) and Echendu Chinyere, Deputy Director Nursing Services, LUTH (right), examine a pregnant patient, Kemi Abiloye (center), during a demonstration of the ANNE maternity sensor, an AI-powered device for real-time monitoring of fetal vitals and contractions at the hospital's labor ward in Lagos State, Nigeria on June 4, 2025.
Medical workers examine a pregnant patient during a demonstration of the ANNE maternity sensor, an AI-powered device for real-time monitoring of fetal vitals and contractions at the hospital's labor ward in Lagos State, Nigeria. ©Gates Archive/Light Oriye

Since 2000, the world has cut child deaths in half. That represents millions of lives saved each year. Within our lifetimes, we could see the end of preventable child deaths. AI can help us get there faster.

AI can expand access to care by supporting health workers, especially where specialists are scarce. Tools like AI-enabled diagnostics can help detect illness earlier and guide treatment in real time, while making health information more accessible in local languages. By reducing administrative burden and improving decision-making, AI can help health workers reach more patients with high-quality care. We are continuing to invest in research and evaluation to understand where these tools are most effective—and how to scale what works.

At the same time, AI can help speed up how new treatments are discovered—bringing life-saving innovations closer to the people who need them.

Learn more: How a computer scientist is using AI to save mothers’ lives in Pakistan

School children work on their classwork using Khanmigo at Elliott Street Elementary School in Newark, New Jersey  on October 23, 2025.
School children work on their classwork using Khanmigo, an AI-powered teaching tool, at Elliott Street Elementary School in Newark, New Jersey. ©Gates Foundation/Sara Naomi Lewkowicz

Many students around the world are not yet mastering basic reading and math skills—skills that are essential for everything that comes next. AI offers a new opportunity to help change that.

With the right tools, students can get personalized support that complements classroom learning and begins to replicate one-on-one instruction, while teachers can spend less time on administrative tasks and more time tracking individual progress and helping students learn. Around the globe, digital tools are already helping teachers understand how students read and do math in local languages and adapt lessons in real time.

To be effective, these tools need to be designed for the reality of every classroom—not just the most resourced. That’s why partners are working to build the evidence, shared tools, and practical guidance needed to help more education systems use AI to improve learning—especially for students who need the most support.

As education systems work to serve growing populations with limited resources, AI offers a practical way to help more students learn, and more teachers succeed.

Learn here: Can AI transform education?

Y.S. Annapurna and her husband S. Mani take a photograph of an afflicted leaf with their phone and use an AI-Enabled Digital Public Infrastructure (DPI) and Agricultural Advisory app to instantly learn what disease is affecting the plants on their 1/2 acre banana farm in Vijayawada, Andhra Pradesh, India on February 15, 2026.
Farmers in Andhra Pradesh, India take a photograph of an afflicted leaf with their phone and use an AI-Enabled app to instantly learn what disease is affecting the plants on their 1/2 acre banana farm. ©Gates Archive/Ryan Lobo

Agriculture remains one of the most powerful tools for reducing poverty. For farmers, each season depends on a handful of critical decisions: what to plant, when to plant, and how to manage crops. If even one goes wrong, it can mean losing an entire year of income. AI can help reduce that uncertainty by providing timely, local information so farmers can make better decisions with confidence.

AI can give farmers more precise insights on soil, weather, and crop health—helping them improve their productivity and prepare for extreme conditions.

Across sub-Saharan Africa and South Asia, AI-powered tools are already providing advice in local languages, helping farmers choose the right seeds, access financial services, and respond to incoming weather and disease risks.

Early results show strong adoption, with many farmers putting these recommendations into practice and seeing meaningful boosts in their yields and incomes.

Learn here:

Virtual Agronomist AI advisory service

AIM for Scale Helps India Deliver AI-powered Forecasts to 38 million Farmers

Stories From Our AI Journey