Prabhjeet Singh, who previously ran Uber's operations across India, has been appointed to lead OpenAI's India business, the company announced on Friday, June 26, 2026, according to Reuters.

Singh arrives with proven experience scaling a global platform in India — one of the world's most important emerging technology markets. At Uber, he navigated a uniquely difficult landscape: fierce local competition, heavy regulation, and customers highly sensitive to pricing. India presents OpenAI with a similar complex environment: strong data privacy rules set by the government, customers who want affordable pricing, and a massive developer community that builds world-class software.

OpenAI has been expanding aggressively into new countries. The company closed a $122 billion funding round in March 2026, and part of that money is earmarked for building AI research, acquiring computing power, and meeting growing demand globally. India figures prominently in that plan. The country has one of the largest populations of software engineers on the planet and enterprises are increasingly buying AI tools.

OpenAI's product lineup has grown substantially over the past year. In October 2025, it released AgentKit, a toolkit for developers and businesses to build and run AI agents — software that can perform tasks automatically. A month earlier, OpenAI added Instant Checkout and agentic commerce to ChatGPT, allowing AI to handle purchases on behalf of users and businesses directly inside the chat interface. Both products are aimed at enterprise customers who need AI integrated into their existing workflows, and both require local salespeople and partnerships to succeed in a new country.

Singh's background has another dimension. Uber has been testing an AI assistant built on OpenAI's GPT-4o technology to help Indian drivers transition to electric vehicles. This means Singh isn't starting from scratch; he has already seen OpenAI's technology in action at scale.

The financial context matters here. OpenAI spent $3.7 billion in Q1 2026 while bringing in only $5.7 billion in revenue — a significant gap. That gap means OpenAI needs revenue to grow in fast-expanding regions. India's businesses and government agencies are investing more in AI systems, and the Indian government has signalled that AI is a national priority. Hiring a seasoned country leader — someone who has actually scaled a business in India, not just managed it from a distance — suggests OpenAI wants to pursue large contracts with Indian enterprises, not merely attract individual developers.

Whether Singh can turn that opportunity into real revenue is an open question. Selling to Indian companies takes time, procurement processes are involved, and local competitors are emerging. What the hire does signal clearly is where OpenAI thinks growth will come from as the company works to balance its large operating costs against the ambitions that $122 billion investment implies.