OpenAI Strengthens India Strategy With New Leadership as Enterprise AI Adoption Accelerates

The appointment of ex-Uber India chief Prabhjeet Singh as Managing Director signals how seriously OpenAI is treating one of its largest and fastest-growing markets.

By Naina, 29th June 2026

OpenAI is strengthening its India strategy with a senior leadership appointment, naming former Uber India head Prabhjeet Singh as its Managing Director for the country. The move, announced last week, makes Singh OpenAI's most senior executive in India, with a mandate spanning consumer growth, enterprise adoption, partnerships, and regulatory engagement. He is expected to join in September and will report to Kiran Mani, OpenAI's Managing Director for Asia Pacific. The hire underscores India's status as a top-priority market for the ChatGPT maker, coming as enterprise adoption of artificial intelligence accelerates across one of the world's largest and fastest-growing digital economies.

The appointment is the latest step in a deliberate build-out that has seen OpenAI assemble a cross-functional India team, open a New Delhi office, and forge major partnerships. With more than 100 million weekly ChatGPT users in the country and businesses rapidly embedding AI into their operations, OpenAI is racing to convert that usage into durable enterprise and developer relationships. Here is what the leadership move signals, who Singh is, and how it fits OpenAI's broader India and Asia-Pacific push.

The Leadership Hire

At the centre of the announcement is Prabhjeet Singh, who spent over a decade at Uber, including six years leading its India and South Asia business as president. As OpenAI's India Managing Director, he will be the company's most senior leader in the country, responsible for performance across consumer growth, enterprise adoption, partnerships, regulatory outreach, and operations. Singh, an alumnus of IIT Kharagpur and IIM Ahmedabad with earlier stints at McKinsey and in finance, brings experience navigating India's regulatory complexity and consumer scale, precisely the blend OpenAI is betting on as it deepens its footprint.

The Reporting Structure

Singh's appointment slots into a regional architecture OpenAI has been constructing. He will report to Kiran Mani, the Managing Director for Asia Pacific, who brings prior leadership across Android and Google Play in the region. India sits alongside Japan and Indonesia as one of OpenAI's largest user markets, making APAC a combined scale-and-execution priority. This layered structure, a dedicated India head reporting into a regional chief, signals that OpenAI is treating the country not as a satellite market but as a core pillar of its international strategy, warranting senior, locally embedded leadership.

The Broader Team Build-Out

The India MD role is one piece of a dense leadership build-out. Over recent months, OpenAI has recruited senior executives across enterprise sales, policy, communications, compute, and ecosystem development, drawing talent from companies like Google, AWS, Meta, and Intel. Rather than a single market-entry announcement, the expansion looks like a coordinated effort in which leadership hiring, enterprise deals, and ecosystem partnerships are being put in place together. This execution backbone is designed to let OpenAI move quickly in a market where speed of adoption has outpaced expectations.

The Enterprise Adoption Surge

Driving the urgency is a surge in enterprise AI adoption. Indian businesses across banking, IT services, retail, education, and digital public infrastructure are embedding AI into workflows, and OpenAI has signed partnerships with a range of major Indian companies. Its enterprise products, from ChatGPT Enterprise to developer APIs and coding tools, are being positioned as the backbone of corporate AI transformation. Local leadership matters here: closing enterprise deals, ensuring compliance, and building trust with large customers all benefit from a senior executive on the ground who understands the market's dynamics.

The Consumer Scale

India is also a consumer powerhouse for OpenAI. The country is home to more than 100 million weekly ChatGPT users, among the largest user bases anywhere, spanning students, teachers, developers, and entrepreneurs. That scale gives OpenAI a vast base to build on, both for monetisation and for refining products in a multilingual, price-sensitive market. Singh's experience scaling a consumer technology business in India is directly relevant to converting this enormous, fast-growing user base into sustainable growth, balancing free access with premium and enterprise offerings.

The Infrastructure and Partnerships

OpenAI's India strategy extends to infrastructure and sovereign capability. Through its global data-centre initiative, the company has partnered with the Tata Group to develop local, AI-ready data-centre capacity built for data residency and security, becoming an early customer of a major Indian data-centre business. It has also pursued enterprise collaborations involving large-scale deployments of its tools across hundreds of thousands of employees, alongside skilling and certification programmes. These moves align OpenAI with India's sovereign AI ambitions and its push to build domestic compute, deepening the company's local roots.

The Competitive and Regulatory Context

OpenAI is not operating unchallenged. Global and domestic AI players are competing aggressively for India's enterprises, developers, and government contracts, while homegrown models and sovereign AI initiatives advance in parallel. At the same time, India is shaping its own AI regulation and data-protection rules, making regulatory engagement a core part of any serious player's strategy. Singh's mandate explicitly includes navigating this landscape, reflecting how local leadership, compliance, and partnerships have become as important as the underlying technology in winning a market like India.

The Road Ahead

OpenAI's leadership appointment cements India as central to its global ambitions, pairing a vast consumer base with surging enterprise demand and deepening infrastructure ties. The real test will be execution: converting ChatGPT's massive usage into enterprise revenue, navigating evolving regulation, and competing against rivals and homegrown alternatives. With a senior, locally rooted leader, a regional structure, and a broad team in place, OpenAI is signalling that it intends to compete for the long term rather than ride a wave of early adoption. How effectively it builds partnerships and trust will determine whether its India bet pays off. This is analysis, not investment advice.

Frequently Asked Questions

Who is OpenAI's new India leader?
Prabhjeet Singh, former president of Uber India and South Asia, has been named Managing Director for India. He will be OpenAI's most senior leader in the country, joining in September and reporting to Asia Pacific MD Kiran Mani.

What will the India MD be responsible for?
Singh's mandate spans consumer growth, enterprise and developer adoption, partnerships, regulatory engagement, and overall operations, with a focus on building India's AI ecosystem and serving businesses, institutions, and government bodies.

Why is India important to OpenAI?
India is one of OpenAI's top-priority markets, with more than 100 million weekly ChatGPT users, a large developer community, rapid enterprise adoption, and strong government support for digital and AI initiatives.

What partnerships has OpenAI built in India?
OpenAI has partnered with major Indian companies and the Tata Group on local data-centre capacity and large-scale enterprise deployments, alongside skilling and certification programmes, as part of its "OpenAI for India" initiative.

What challenges does OpenAI face in India?
Intense competition from global and homegrown AI players and sovereign AI initiatives, evolving regulation and data-protection rules, and the challenge of converting a vast free user base into sustainable enterprise revenue.