At the India AI Impact Summit in New Delhi this week, a quiet announcement from UAE-based G42 and U.S. chipmaker Cerebras revealed something much bigger than just another technology partnership. The companies plan to deploy 8 exaflops of computing power in India – enough to train some of the world’s largest AI models – as part of what’s becoming a $200 billion infrastructure race that’s reshaping global AI competition. But is this massive investment translating into real business impact yet?
The Sovereign Computing Revolution
“Sovereign AI infrastructure is becoming essential for national competitiveness,” said Manu Jain, CEO of G42 India, in a statement that captures the strategic thinking behind this week’s announcements. The G42-Cerebras system will be hosted in India and follow local data residency, security, and compliance rules, providing computing resources specifically for Indian educational institutions, government entities, and small-to-medium enterprises.
This isn’t just about raw computing power – it’s about control. As Andy Hock, chief strategy officer at Cerebras, noted: “Deploying this system in India marks a significant step forward in the country’s computational capacity and sovereign AI initiatives. It will accelerate training and inference for large-scale models, enabling researchers and developers to build AI tailored to India’s needs.” The partnership builds on previous work including Nanda 87B, a Hindi-English large language model developed by MBZUAI and G42.
The $200 Billion Infrastructure Race
What makes this announcement particularly significant is the broader context. India aims to attract over $200 billion in AI infrastructure investments over the next two years, according to technology minister Ashwini Vaishnaw’s statements at the summit. This isn’t just government ambition – major players are putting real money on the table.
Indian conglomerate Adani pledged $100 billion to build up to 5 gigawatts of data-center capacity by 2035. Reliance Industries committed $110 billion over the next seven years for gigawatt-scale data centers. OpenAI partnered with Tata Group to secure 100 megawatts of AI compute capacity as part of its Stargate project, with plans to eventually scale to 1 gigawatt. U.S. technology giants including Amazon, Google, and Microsoft have already committed about $70 billion to expand AI and cloud infrastructure in the country.
The Venture Capital Perspective
The infrastructure push is matched by venture capital enthusiasm. Peak XV announced on Friday that it has raised $1.3 billion across new India and Asia-focused funds, with managing director Shailendra Singh emphasizing that “the firm’s priority is generating strong returns rather than maximizing assets under management.” This follows General Catalyst’s commitment of $5 billion to India over the next five years, targeting startups in AI, healthcare, defense technology, fintech, and consumer technology.
General Catalyst CEO Hemant Taneja captured the sentiment: “India will build the next generation of global platform companies.” The firm’s CEO for India, the Middle East, and North Africa, Neeraj Arora, added: “This investment allows us to operate at a different scale in India.”
The Reality Check: Where’s the Business Impact?
Despite this flood of investment, a sobering study by the National Bureau of Economic Research (NBER) reveals that many business leaders see little measurable impact from AI adoption in their companies over the past three years. Over 80% of surveyed companies reported no effects on employment or productivity from AI, according to research covering 6,000 CEOs and other leaders from the US, UK, Germany, and Australia.
Yet executives remain optimistic about the future. The same study found that business leaders expect AI to yield a 1.4% productivity gain and a 0.7% reduction in workforce over the next three years – potentially eliminating 1.75 million jobs. This disconnect between current impact and future expectations highlights the complex reality of AI adoption.
The User Adoption Story
While business impact may be lagging, user adoption tells a different story. OpenAI reports that in India, users aged 18-24 account for nearly 50% of ChatGPT usage, with those under 30 making up 80%. Indians primarily use ChatGPT for work (35% of messages), exceeding the global average of 30%. The coding assistant Codex sees three times more usage in India than the global median.
Ronnie Chatterji, OpenAI’s chief economist, noted: “AI adoption is moving faster than our ability to measure it – and that’s a challenge for anyone trying to make smart decisions. Signals is our way of putting real-world evidence on the table, so India’s AI debate can be grounded in facts, not hype.”
The Competitive Landscape
The India AI Impact Summit also revealed the intense competition heating up. An awkward moment occurred when Prime Minister Narendra Modi asked speakers to join hands in solidarity. While most executives complied, OpenAI’s Sam Altman and Anthropic’s Dario Amodei noticeably held their hands apart, highlighting their intense rivalry. Both companies announced significant expansions in India during the summit.
OpenAI is opening two new offices in India and partnering with TCS, while Anthropic has opened an office and teamed up with Infosys for AI tool deployment. The tension stems from recent public disputes, including OpenAI’s plan to introduce ads to ChatGPT and Anthropic’s Super Bowl ads criticizing OpenAI’s approach.
The Path Forward
As India positions itself as a global AI hub, several key questions emerge. Will the massive infrastructure investments translate into tangible business value? How will sovereign AI initiatives balance innovation with security concerns? And can India leverage its demographic advantage – with young, tech-savvy users driving adoption – to create sustainable competitive advantages?
The answers will depend not just on technology infrastructure, but on how effectively businesses integrate AI into their operations, how policymakers create enabling environments, and how the global AI ecosystem evolves. One thing is clear: with $200 billion in play and every major player at the table, India’s AI story is just beginning to unfold.