“No question about it”: India’s chief economic advisor calls AI valuations a bubble driven by IPO hype

India’s chief economic advisor has delivered one of the most direct warnings yet about the AI investment boom. “AI-related stocks and AI-related valuations are definitely a bubble. There is no question about it,” Dr. Anantha Nageswaran told ANI, singling out companies inflating their market value specifically to attract investors ahead of public listings.

Speaking in an interview with Indian news agency ANI, Nageswaran argued that current AI stocks valuation levels have become detached from underlying business fundamentals, describing the market’s enthusiasm as a clear bubble.

His remarks arrive at a pivotal moment for global investors, as artificial intelligence continues to dominate earnings calls, venture capital funding rounds, and public market narratives.

India’s chief economic advisor questions AI market euphoria

Nageswaran drew a distinction between the long-term promise of artificial intelligence and the soaring market values attached to companies associated with the technology.

“AI-related stocks and AI-related valuations are definitely a bubble. There is no question about it,” he said during the interview.

The warning comes as investors continue pouring capital into AI-focused firms, pushing the overall AI stocks valuation landscape to unprecedented levels.

Chip giant NVIDIA recently climbed to a market capitalization exceeding $4 trillion, driven by surging demand for graphics processing units powering generative AI applications. Meanwhile, companies such as OpenAI and Anthropic have secured multibillion-dollar valuations as enterprises scramble to integrate AI into their products and services.

According to Nageswaran, a significant portion of this momentum is being fuelled by companies seeking higher valuations ahead of fundraising rounds or public listings.

“Some of this hype is created by AI companies because they need to create the market value because they’re going public,” he said.

His comments echo concerns raised by several economists and market observers who have compared today’s AI boom to previous periods of speculative excess, including the dot-com bubble of the late 1990s.

However, unlike the internet era, many leading AI firms are already generating substantial revenue, making it more difficult to determine whether current prices reflect future earnings potential or investor exuberance.

Even so, questions surrounding AI stocks valuation continue to intensify as capital flows into the sector accelerate.

Why AI companies continue to attract massive investor interest

Despite growing concerns about overheated markets, enthusiasm surrounding artificial intelligence shows little sign of slowing.

Nageswaran believes companies are increasingly promoting AI as a transformative force capable of dramatically boosting productivity while reducing labour costs.

That narrative, he said, resonates strongly with investors seeking long-term profit growth.

“AI as a technology capable of suddenly reducing employee costs,” he said, has helped create a compelling investment story.

The expectation that AI systems will automate repetitive tasks, improve efficiency, and unlock new revenue streams has become a major driver behind elevated AI stocks valuation metrics across both public and private markets.

Technology leaders have reinforced this optimism.

Jensen Huang has repeatedly described AI as the next industrial revolution, while Sam Altman has argued that artificial general intelligence could fundamentally reshape the global economy.

Yet critics warn that many companies currently branding themselves as AI businesses have yet to demonstrate sustainable competitive advantages or meaningful returns on investment.

For investors, separating genuine innovation from marketing-driven hype is becoming increasingly difficult.

As a result, debates around AI stocks valuation are increasingly shifting from technological potential to commercial viability.

The debate over AI and job losses remains unsettled

Beyond concerns about market excesses, Nageswaran also challenged one of the most widely discussed narratives surrounding artificial intelligence: mass job displacement.

While acknowledging that certain roles—particularly in technology and information services—could become obsolete, he cautioned against assuming widespread employment disruption is inevitable.

“Whether it will be a massive disruptor in terms of employment, I think the jury is still out,” he said.

Historically, major technological breakthroughs have eliminated some jobs while simultaneously creating entirely new industries and employment categories.

From the Industrial Revolution to the rise of personal computing, periods of technological transformation have often produced both disruption and opportunity.

Nageswaran believes artificial intelligence may ultimately follow a similar trajectory.

His argument suggests that fears surrounding AI-driven unemployment may be amplified by companies eager to justify elevated valuations and attract investor capital.

That dynamic, he warned, could further distort expectations surrounding future productivity gains and overall AI stocks valuation trends.

Separating long-term potential from short-term speculation

Nageswaran’s warning is not a rejection of artificial intelligence itself.

Instead, he argues that meaningful discussions about AI’s long-term impact on productivity, economic growth, and employment can only happen once today’s investment frenzy subsides.

Artificial intelligence is already reshaping industries ranging from healthcare and finance to manufacturing and education. The technology’s potential remains significant.

However, history shows that breakthrough innovations often experience periods of excessive speculation before markets settle on realistic expectations.

For investors, policymakers, and business leaders, the challenge lies in distinguishing durable value creation from short-term excitement.

As capital continues to flood into the sector, the debate over AI stocks valuation is likely to intensify.

Whether current prices represent the early stages of a technological revolution or the peak of speculative enthusiasm remains one of the most consequential questions facing global markets today.

With billions of dollars still flowing into AI ventures and public companies racing to reposition themselves around artificial intelligence, Nageswaran’s warning serves as a reminder that transformational technologies and market bubbles are not mutually exclusive.

The future of AI may be undeniable, but the sustainability of today’s AI stocks valuation levels remains far less certain.