This week’s Global AI Summit in New Delhi was meant to be India’s moment to assert itself as a major player in artificial intelligence. Instead, it revealed the stark challenges facing the world’s most populous nation as it tries to bridge the gap between ambition and reality in the global AI race.
The Summit’s Contradictions
Prime Minister Narendra Modi opened the summit with a bold vision: “AI will only benefit the world when it is shared.” His government pushed for open-source AI models for social applications in healthcare, education, and agriculture, positioning India as a champion for the Global South. Yet this call for global AI governance was met with immediate resistance from Washington.
Michael Kratsios, White House chief of science and technology policy, bluntly stated the U.S. government “totally” rejected global governance of AI. “We believe AI adoption cannot lead to a brighter future if it is subject to bureaucracies and centralized control,” he told attendees. This fundamental disagreement highlighted the geopolitical fractures that complicate India’s AI ambitions.
Investment Boom vs Infrastructure Reality
Despite the regulatory impasse, the summit showcased India’s growing appeal to global investors. General Catalyst, the Silicon Valley venture firm, announced a massive $5 billion commitment to India over the next five years, targeting AI, healthcare, and fintech startups. “India will build the next generation of global platform companies,” declared General Catalyst CEO Hemant Taneja.
This investment surge is part of a broader trend. India aims to attract over $200 billion in AI infrastructure investments, with major announcements including Adani Group and Reliance Industries pledging combined investments exceeding $200 billion for data center infrastructure. OpenAI partnered with Tata Group’s TCS to develop a 100-megawatt AI data center, while Abu Dhabi’s G42 teamed with chipmaker Cerebras to deploy 8 exaflops of computing power in India.
Yet experts warn these investments face a harsh reality check. Alphabet’s senior vice-president James Manyika told the Financial Times that India’s push for wider AI access is limited by infrastructure gaps, particularly in the Global South. “The world has not got enough capacity… It’s particularly acute in the global south,” Manyika noted, emphasizing the scale of investment needed everywhere.
The Startup Ecosystem Emerges
While infrastructure challenges persist, India’s domestic AI ecosystem showed promising signs of maturity. Sarvam AI, one of India’s leading AI startups, launched its Indus chat app alongside its new 105-billion-parameter large language model. The Bengaluru-based company, which has raised $41 million, focuses on solving day-to-day concerns rather than complex philosophical questions.
This local innovation is happening against a backdrop of intense competition. OpenAI reports that India is its second-largest market with over 100 million weekly ChatGPT users, with 18-24-year-olds accounting for nearly 50% of usage. Indians use ChatGPT for work 35% of the time, exceeding the global average of 30%, while the coding assistant Codex sees three times more usage in India than the global median.
The Venture Capital Rush
The investment momentum extends beyond infrastructure. Peak XV, the venture firm that split from Sequoia Capital, announced it has raised $1.3 billion across new India and Asia-focused funds, bringing its total assets under management to over $10 billion. Managing director Shailendra Singh emphasized the firm’s priority is generating strong returns rather than matching rivals dollar-for-dollar.
This venture capital influx comes as India’s IT services sector belatedly embraces AI. TCS and Infosys both announced partnerships with OpenAI and Anthropic respectively to help clients adopt and integrate the technology. The importance of the Indian market was underscored by OpenAI’s Sam Altman, who noted India is the company’s fastest-growing market for Codex.
The Unresolved Tensions
The summit’s most telling moment came during a group photo when industry leaders were asked to clasp hands in celebration. While most complied, OpenAI’s Sam Altman and Anthropic’s Dario Amodei, standing next to each other, could not bring themselves to do so – a subtle but powerful symbol of the competitive tensions underlying the AI industry.
J Trevor Hughes, CEO of Boston-based not-for-profit IAPP, captured the summit’s timing: “There is a broad deregulatory mood in the air. So the idea of imposing AI regulation creates an allergic reaction right now in many, and yet, risk management in AI is still a critical thing.”
What This Means for Businesses
For global companies, India represents both opportunity and complexity. The country offers a massive domestic market with over a billion internet users and a young, tech-savvy population. Yet infrastructure limitations mean that realizing India’s AI potential will require patience and significant investment.
For Indian businesses, the summit revealed both progress and challenges. While investment is flowing and domestic innovation is growing, the country still lacks the large-scale computing infrastructure needed to compete with the U.S. and China. The voluntary commitment secured for AI companies to share data on multilingual models represents progress, but falls short of the comprehensive framework India sought.
As one participant in discussions between India and U.S. tech giants noted, without pressure from the U.S. government for global AI regulation, American companies are “feeling absolutely no need to even agree to a baseline.” This reality means India’s path to AI leadership will likely be through building its own capabilities rather than reshaping global governance.