Nikhil Kamath warns of $800 billion AI funding gap and startup crunch

Zerodha co-founder Nikhil Kamath has warned that the artificial intelligence industry is operating under a massive funding gap of up to $800 billion a year, cautioning that a shift in global financial conditions could trigger severe tests for tech startups by 2027.

Speaking at the NDTV World Summit 2026, the billionaire investor estimated that roughly $1 trillion is flowing into AI development globally every year, while commercial enterprise revenue generated by the technology stands at just $100 billion to $200 billion.

Kamath questioned how long investors would be willing to bridge that multi-hundred-billion-dollar shortfall, particularly if macroeconomic conditions tighten and borrowing costs increase.

What the AI numbers show

The imbalance between heavy capital expenditure on infrastructure and the delayed commercial payoff forms the core of Kamath's warning. While global tech giants and venture funds continue pouring capital into data centres, specialised chips and foundation models, revenue growth has lagged behind aggressive expectations.

Kamath noted that global economic output is roughly $100 trillion to $120 trillion, dominated by the services sector. Although disrupting even a small fraction of services could theoretically yield trillions in value, he pointed out that tangible productivity transformations on the ground remain limited so far.

Why 2027 could test AI startups

The situation could become particularly difficult for early-stage companies as borrowing costs rise. Kamath highlighted scenarios where US Treasury yields climb further by 2027, making capital more expensive and shrinking investor appetite for long-term speculative bets.

Startups that rely on continuous fundraising rounds to cover soaring computing and operational expenses without establishing steady recurring revenue face steep valuation pressures. Investors, he noted, will inevitably pivot from growth prospects to cash generation and sustainable profit margins.

Kamath advised founders who have raised substantial capital to preserve cash reserves to navigate any impending tightening in global venture funding.

Opportunities for India's tech ecosystem

While international frontier-model developers face steep financial hurdles, Kamath expressed strong optimism regarding India's position in the global AI landscape.

Rather than entering the capital-intensive race to build foundation models, Indian technology companies and entrepreneurs are well placed to focus on practical applications, cost-efficient solutions and enterprise integration. Supported by India's deep talent pool of engineers and robust technological infrastructure, local businesses can harness existing models to solve concrete commercial problems.

By combining human expertise with AI-powered services, India's tech sector is positioned to deliver sustainable returns and solidify the nation's reputation as a pragmatic driver of global technology solutions.