More than 100 Indian AI founders are relocating to the United States even as the country’s startup ecosystem attracts record diaspora investment, exposing a sharp divide between artificial intelligence’s gravitational pull toward Silicon Valley and deeptech startups’ viability in India. This split will reshape global innovation geography.

The exodus accelerated dramatically over the past year, with Indian AI founders, including teams from Composio, Meetstream.ai, Smallest.ai, Beatoven.ai, and GetCrux, moving their headquarters to San Francisco, investors and founders told this reporter.

Yet during the same period, NRI investment into India surged 23 percent to $14.55 billion between April 2024 and February 2025, with returnee founders now comprising 25 percent of India’s startup ecosystem—overwhelmingly concentrated in deeptech startups building biotechnology, clean energy, and advanced manufacturing ventures.

“The biggest factor is the speed at which things move in the US, which results in faster growth and decision-making from investors and customers,” said Sidhdharth Sivasubramanian, co-founder of Meetstream.ai, who relocated this week. He estimates the figure of 100 migrating founders is “conservative,” adding that at least 20-30 founders from his circles alone moved in the past year.

The Geography of Capital

The bifurcation reflects rational economics rather than simple brain drain, analysis of funding data reveals. US AI funding reached $121 billion across 765 deals in 2024, a 141 percent increase year-over-year, while Indian AI founders collectively raised approximately $500 million across 63 deals in 2025, according to venture capital trackers.

The San Francisco Bay Area alone absorbed 82 percent of global generative AI venture capital and hosts more than 825 AI companies, creating unmatched density.

Meanwhile, deeptech startups in India raised $1.55 billion across 264 deals in 2025, with early-stage funding jumping 23 percent to $850 million. The India Deep Tech Investment Alliance—comprising Accel, Blume Ventures, Premji Invest, and five other firms—committed over $1 billion specifically for India-domiciled ventures, signaling investor confidence that certain frontier technologies remain viable outside Silicon Valley.

“When you are building in AI, it is important to be close to the ecosystem and density of talent. Right now, that is the U.S.,” said Mansoor Rahimat Khan, co-founder of Beatoven.ai, who moved in 2024. “In addition, the enterprise market is dynamic, and clients prefer the founders to be in the U.S.”

The Deeptech Exception

Yet Mitra Biotech, a cancer diagnostics pioneer, demonstrates why biotech founders make opposite calculations. Founded in Boston in 2008 by MIT and Harvard faculty, the company deliberately relocated to India in 2009 to reduce R&D costs and access clinical data. Co-founder Mallik Sundaram told reporters a single factor drove the decision: “We wanted to use all the money to develop the product.”

Operating from an 800-square-foot apartment where “the kitchen became the histopathology lab, the bedroom became a cancer biology lab,” Mitra Biotech built technology that personalizes cancer treatment by testing drug responses on patient tumor samples in seven days. This clinically validated work attracted $27 million from Accel Partners, Tata Capital, and others.

The company now works with major global pharmaceutical firms while maintaining India as its innovation center.

Similarly, Zoho and Freshworks built billion-dollar SaaS companies from Chennai without relocating, demonstrating that internet-distributed software can tolerate geographic distance from customers. However, Indian AI founders targeting enterprise clients face different constraints.

The WhatsApp Migration Networks

The migration has spawned underground support systems. Multiple WhatsApp groups, one reviewed by this reporter, contained over 150 members, now help Indian AI founders navigate US visa processes, share immigration attorneys, and coordinate relocations. Some founders spoke only on condition of anonymity, citing “tougher US immigration policy under the Donald Trump administration.”

The irony isn’t lost on investors. The same H-1B visa restrictions that drove some tech professionals back to India are now obstacles for AI founders moving in the opposite direction. Yet founders consider the gamble worthwhile since the US represents their largest market.

“Is it something that investors are pushing them to? It’s not that. It’s more about the GTM [go-to-market] choices and what’s required to win,” said Thiyagarajan Maruthavanan, managing partner at Upekkha, an AI and SaaS-focused accelerator.

The Missing Middle

However, India’s venture capital data reveal a structural weakness that explains the AI exodus: the country lacks even a single AI-first company generating $40-50 million in annual revenue, a critical milestone indicating ecosystem maturity, according to Accel’s Prayank Swaroop. Without role models demonstrating India-based AI scaling paths, founders follow proven Silicon Valley playbooks.

Conversely, deeptech startups find adequate capital patience. The Indian government allocated INR 10,000 crore ($1.2 billion) to a deeptech-focused Fund of Funds in the 2025-26 budget, expanding the existing scheme’s corpus to INR 20,000 crore.

Additionally, the INR 1 lakh crore ($11 billion) Research, Development, and Innovation Fund targets the semiconductor, biotechnology, and clean energy sectors, in which India offers structural advantages.

“Deep tech is India’s field to dominate, if we have faith in local talent,” an industry analyst said. Noting that IITs, IISc, and institutions like BARC have developed commercializable technologies ready for licensing. “The missing link isn’t science. It’s entrepreneurship—and awareness.”

The Returnee Counterflow

The returnee data complicates simplistic narratives. Nearly 60 percent of NRIs in major Western countries considered returning to India in 2023-2024, with 75 percent citing family proximity, supporting aging parents, and raising children in culturally familiar environments as the primary motivations.

These returnees invest differently than prior generations. NRI monthly systematic investment plans average INR 6,486, 58 percent higher than resident Indians at INR 4,093, and 75 percent maintain investments for five-plus years, demonstrating patient capital orientation suited to deeptech’s 7-10 year commercialization timelines.

Vijay Rayapati, founder of Atomicwork, who has relocated, captured Silicon Valley’s unique value proposition, “The density of people, talent, ideas, I can’t even explain. In two days at the Khosla CEO Summit, I met Bill Gates, Sam Altman, Parag Agrawal, and Ali Ghodsi. It’s impossible to get this kind of access anywhere else outside of the Bay.”

Implications

The bifurcation suggests AI has become artificially concentrated due to extreme customer and capital density, a geographic lock-in phenomenon where 240-fold funding disparities create winner-take-most dynamics.

Meanwhile, deeptech startups building hardware, biotech, or energy solutions remain viable in India because local advantages—lower R&D costs, access to clinical data, domain expertise, and offset capital velocity disadvantages.

For policymakers, the message is clear: India cannot replicate Silicon Valley’s AI ecosystem through capital alone. Instead, the $14.55 billion in diaspora investment flowing toward deeptech startups reveals where India maintains competitive advantages, and where founders recognize that physical proximity to San Francisco’s single square mile determines who wins the AI race.

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