Gates Foundation Backs UAE's AI-Agriculture Model With Funding and Research Partnerships

Gates Foundation chief executive Mark Suzman has identified the United Arab Emirates’ approach to artificial intelligence and agricultural technology as a working model for delivering advanced tools to underserved populations, with the foundation backing that assessment through concrete financial commitments and active research partnerships.

The operational foundation for this endorsement is the Aim for Scale initiative, announced jointly by the Gates Foundation and the Emirates government at the COP28 climate conference in 2023. Each side committed $100 million toward agricultural innovation and hunger reduction. Suzman, speaking to The National, pointed to the initiative as evidence that bilateral partnerships can move beyond stated priorities and translate funding into measurable agricultural outcomes on the ground.

Research underway at the Mohamed bin Zayed University of Artificial Intelligence in the UAE sits at the center of Suzman’s assessment. The university is conducting applied work in two specific domains: using AI to prevent disease outbreaks and improving weather forecasting systems. Both align directly with the Gates Foundation’s newly released Make this Matter AI report, which examines how technological systems can improve conditions in health, agriculture and education. The foundation has committed to spending at least $1 billion over the next two years to expand access to AI tools, knowledge and related infrastructure, a signal that the organization is moving from strategy into implementation.

Meanwhile, Suzman’s remarks carried a pointed warning about the infrastructure gaps that could undermine these efforts entirely. Without deliberate work on linguistic diversity in AI systems, foundational infrastructure development and technology access, he cautioned, the gap between wealthy and lower-income countries would widen rather than close. The risk is operational, not merely conceptual: systems designed for English-speaking populations or high-income markets may simply fail to function in agricultural, healthcare and educational settings where the linguistic and infrastructural conditions are fundamentally different.

A 2025 study from MBZUAI put numbers to the problem. Multilingual AI models continue to perform significantly better in English than in other languages, and show substantially weaker results on scientific and technical tasks for languages with smaller datasets, including Amharic, Arabic and Yoruba. Without deliberate investment in language datasets and model training, AI systems will remain operationally limited in precisely the regions they are meant to serve.

The Gates Foundation’s response to this bottleneck centers on partnership and infrastructure. Suzman indicated that the foundation’s existing relationships with Microsoft, Google and other technology companies could facilitate the creation of language datasets and expand technical capacity to build AI systems that function reliably across linguistic contexts. The foundation’s report also stresses the need to train healthcare workers, farmers, teachers and software developers so they can evaluate which technologies will actually perform in their specific environments, rather than deploying systems designed elsewhere without local adaptation.

That last point may be the most consequential. Funding and research partnerships can establish the conditions for delivery, but whether AI tools actually work in a local clinic or a smallholder farm depends on training, local infrastructure and whether the underlying models were built with those contexts in mind. The foundation’s strategy acknowledges that technological access alone is insufficient. Implementation requires attention to language, infrastructure, training capacity and the practical conditions under which systems must operate.

More detail on the foundation’s assessment and the UAE’s role in this framework is available at https://ua.news/en/technologies/fond-geitsa-vidznachiv-pidkhid-oae-do-shi-ta-agrarnikh-innovatsii.

The question now is whether the $1 billion commitment and the UAE partnership will produce AI systems that perform reliably in the languages and environments that matter most, or whether the gap Suzman warned about will persist despite the investment.