After the race of closed models the Gates Foundation allocates a billion dollars for equitable access and depends on the UAE partnership

The Gates Foundation announced that it will allocate at least $1 billion over the next two years to expand access to artificial-intelligence tools and solutions in health, education and agriculture, focusing on narrowing the technological gaps that threaten to widen inequality within developing economies. Mark Suzman, chief executive of the foundation founded by Bill Gates, praised the approach taken by the United Arab Emirates in leading technical innovation and community applications, pointing to the joint “Aim for Scale” partnership launched at the COP 28 climate conference, where each party committed to provide $100 million to spur agricultural innovation and combat hunger. The move coincides with the launch of the foundation’s 2026 report, which warns that the absence of targeted investments will inevitably widen the digital divide rather than close it.

The report places the language-diversity dilemma at the core of current technical challenges, noting that practical tests show that large language models still suffer from a pronounced performance weakness when handling low-resource languages compared with English, especially in science and technology topics, as is the case for Arabic, Amharic and Yoruba. Although Arabic speakers exceed 400 million worldwide according to United Nations estimates, the language has not received sufficient attention during the first wave of generative-model development.A 2025 study issued by Mohamed bin Zayed University of Artificial Intelligence confirmed this structural bias in favor of English-language content.This prompted the Technology Innovation Institute in Abu Dhabi to launch the “Arab Falcon” model to bridge that gap and provide an advanced model with genuine Arabic fluency.

In the Gates Foundation’s operating philosophy, building open linguistic datasets constitutes a global public good that the artificial-intelligence community does not need to fund and craft from scratch; once completed, they become a permanent foundation from which everyone benefits. The foundation relies on partnerships with major technology firms such as Google and Microsoft, as well as on research from Mohamed bin Zayed University of Artificial Intelligence to employ algorithms for disease prevention and improved weather forecasting.Suzman believes that the heated debate in Western markets over the superiority of open versus closed models is a waste of time for developing economies.He emphasizes that the decisive criterion lies in tangible outcomes and communities’ ability to access safe tools at the lowest possible cost.

In our analytical reading, this shift moves the artificial-intelligence battle in the Arab region from a framework of consuming imported models to a stage of imposing linguistic and operational priorities. For developers and tech firms in the Gulf, Egypt and the Levant, turning Arabic data into a public good reduces the cost of text processing and the inefficient token segmentation imposed by global models, thereby lowering inference expenses for local institutions in a tangible way. The shift also requires redirecting engineering skills toward building sector-specific applications in precision agriculture, water management and public health, with an emphasis on understanding spoken dialects and aligning local data rather than merely creating generic conversational interfaces. On the policy front, this trajectory calls on digital-transformation officials to evaluate solutions based on access cost and the security of educational and health data, away from ideological polarization between open and closed sources.

The Gates report, backed by Bill Gates’s warning about the impact of unchecked artificial intelligence on societal stability, reveals that technological sovereignty in the Middle East is no longer measured solely by owning data centres and computing capacity, but by how those capacities are harnessed to serve the local language and vital sectors. The convergence of Emirati initiatives with international development financing sets a practical benchmark for the region, indicating that smart models attain their true value when they protect a farmer’s crop or support a doctor in a field clinic in their native language.