Microsoft has committed $15.2 billion to the United Arab Emirates through 2029, securing Trump administration approval to export advanced Nvidia chips just days after OpenAI’s landmark $38 billion AWS deal signaled the end of Azure exclusivity.

The investment positions Microsoft to capture Middle Eastern AI demand while demonstrating Azure’s capacity to compete for infrastructure commitments outside its OpenAI partnership.

Announced Monday at the ADIPEC energy conference in Abu Dhabi, the commitment includes $7.3 billion already spent since 2023 and $7.9 billion planned through 2029.

Microsoft Vice Chair Brad Smith emphasized that AI data center expansion represents the bulk of spending, addressing surging regional demand for compute capacity.

The Compute Race

The UAE investment reflects broader competitive dynamics reshaping cloud infrastructure. While OpenAI recently secured infrastructure commitments across AWS ($38 billion), Oracle ($300 billion), and Google Cloud, Microsoft’s UAE commitment demonstrates Azure’s ability to attract sovereign-scale infrastructure partnerships beyond its highest-profile customer.

Biden administration approvals last year allowed Microsoft to accumulate the equivalent of 21,500 Nvidia A100 GPUs in the UAE, combining A100, H100, and H200 processors. The Trump administration has now approved licenses for an additional 60,400 A100-equivalent chips, including Nvidia’s advanced GB300 GPUs, which Smith said will ship “in a matter of months” to Microsoft’s own UAE data centers.

The timing carries strategic weight. OpenAI committed to purchase an additional $250 billion in Azure services even while diversifying to AWS, but Microsoft’s UAE investment demonstrates independence from that relationship.

Unlike AWS, which secured OpenAI to address Q3 2025 growth of 20% that trailed Azure’s 40%, Microsoft captures emerging market infrastructure demand through direct sovereign partnerships.

The deal builds on Microsoft’s $1.5 billion investment in Abu Dhabi AI company G42, which gave the tech giant a board seat filled by Smith. G42’s past ties to China attracted scrutiny in Washington, but Smith indicated the company has made “enormous progress” in implementing U.S. compliance systems, potentially positioning G42 for direct access to America’s most advanced chips.

Regional Dominance

Microsoft’s scale dwarfs typical international infrastructure commitments. While the company usually announces $2-3 billion investments in markets like Indonesia, France, and the UK, the UAE commitment exceeds five times that standard.

Smith emphasized the investment represents actual spending in the UAE, not capital raised locally, underscoring genuine commitment to the partnership.

The investment remains separate from Stargate UAE, the massive data center project announced during President Trump’s May visit. That initiative, involving OpenAI, Oracle, and Nvidia, aims to create a 5-gigawatt site, representing one of the world’s largest data center deployments. Microsoft’s parallel investment creates dual Azure infrastructure pathways into the region.

For cloud providers racing to secure AI capacity, the UAE offers abundant energy resources and political stability attractive to hyperscalers. Microsoft’s positioning enables it to serve not just the Emirates but emerging markets across the Middle East and Africa, regions where cheap energy can power enormous AI data centers critical to future competitiveness.

The company is committed to training one million UAE residents by 2027 and recently partnered with the UAE government entities to upskill 120,000 government employees.

These workforce initiatives complement infrastructure spending, creating an integrated ecosystem for AI development and deployment that mirrors Microsoft’s global strategy.

As OpenAI diversifies away from Azure exclusivity, Microsoft’s UAE investment demonstrates Azure’s appeal extends beyond its most famous customer. The commitment secures long-term Middle Eastern compute capacity while positioning Microsoft as the infrastructure partner for sovereign AI ambitions across emerging markets.


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