Uber is preparing to establish its first data center operation in India through a partnership with Adani Group, marking a major infrastructure pivot for the global mobility company as India becomes increasingly central to its technology and AI roadmap.
Uber CEO Dara Khosrowshahi disclosed the plan after meeting Adani Group chairman Gautam Adani in Ahmedabad. The announcement arrived through a public post on X, where Khosrowshahi outlined Uber’s broader ambitions around India-led scaling and technology deployment.
Khosrowshahi wrote: “As India quickly emerges as a leading innovation hub for Uber, we are setting up our first data center in the country with the Adani Group to test and deploy our tech. Ready later this year, this investment will help us build at scale – from India, for the world.”
The announcement positions India as more than a regional operating market for Uber. Instead, the company now appears to view the country as a strategic infrastructure and engineering base capable of supporting global-scale workloads, experimentation, and future AI deployment requirements.
Uber’s Infrastructure Model Continues to Evolve
The announcement also reflects how dramatically Uber’s infrastructure strategy has changed during the past several years. Historically, the company maintained significant ownership and control over its computing environments, with reports previously indicating that roughly 95 percent of its IT stack operated inside company-managed data centers.
One of Uber’s more notable facilities included a Colorado data center acquired from Microsoft in 2015. That operating philosophy shifted in 2023 when Uber signed two seven-year cloud agreements with Google and Oracle through Oracle Cloud Infrastructure. The company also confirmed plans to close its internally operated data center footprint during that transition.
Since then, Uber has leaned aggressively into cloud infrastructure partnerships. In April 2026, the company expanded that strategy further by adopting custom chips from Amazon Web Services, including Graviton and Trainium processors aimed at optimizing AI and compute-intensive workloads.
However, the India data center initiative introduces a more nuanced direction. Uber appears to be blending hyperscale cloud dependency with selective localized infrastructure investments tied to strategic markets and regulatory realities.
India’s Digital Sovereignty Push Shapes Infrastructure Decisions
Although Uber did not directly frame the India deployment around data sovereignty, the move aligns closely with a growing global shift toward localized data governance. Governments across major economies increasingly want sensitive consumer and operational data processed within domestic borders, especially as AI adoption expands and digital platforms deepen their reach.
By working with an Indian infrastructure giant such as Adani Group, Uber gains stronger geographic control over where workloads operate and where customer data remains stored. That capability may become increasingly valuable as India continues refining its regulatory posture around digital services, cloud operations, and AI governance.
The announcement did not disclose whether Uber and Adani will construct an entirely new facility or whether Uber intends to lease capacity from an existing Adani-operated campus. Neither company has publicly shared details regarding the site location, expected compute capacity, power density, or investment size.
Nevertheless, the timing strongly connects Uber’s move to a wider transformation underway inside India’s digital infrastructure ecosystem.
Adani Group Expands Massive AI Data Center Ambitions
Adani Group has already emerged as one of the most aggressive infrastructure investors in India’s fast-growing AI and cloud economy. Earlier this year, the conglomerate announced plans to invest approximately $100 billion into renewable-powered AI data center infrastructure by 2035.
At the time, the company said it operated around 2GW of data center capacity and aimed to expand toward 5GW. Those expansion targets include several large-scale developments spread across multiple Indian technology corridors.
Among the company’s biggest projects is a gigawatt-scale campus initiative with Google in Visakhapatnam. Additional campuses are planned in Noida, while Microsoft-linked developments are expected across Hyderabad and Pune.
Adani also continues expanding its joint venture with EdgeConneX through AdaniConneX, which operates facilities across India. Last year, the venture secured $1.44 billion in funding to accelerate nationwide growth plans and capacity expansion. Consequently, Uber’s partnership gives Adani another globally recognized technology customer at a time when India’s AI infrastructure race continues intensifying.
India Emerges as the New Compute Expansion Frontier
Uber’s decision underscores a broader industry reality: India has become one of the most strategically important destinations for next-generation compute infrastructure. Rapid AI adoption, expanding cloud demand, regulatory localization pressures, and lower-cost engineering ecosystems continue attracting global technology companies toward the region.
For Uber, the India deployment may ultimately represent more than a regional infrastructure node. It could evolve into a testing ground for AI deployment models, localized compute strategies, and globally distributed platform operations.
The company has not yet revealed timelines beyond saying the facility should become operational later this year. Even so, the announcement adds another signal that the future of hyperscale and AI infrastructure growth increasingly runs through India rather than traditional Western-only expansion corridors.
