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Indias Chief Economic Advisor Calls AI Stock Valuations a Bubble, Echoing Global Concerns
At a recent policy forum, V Anantha Nageswaran, India’s Chief Economic Advisor, warned that the soaring valuations of AI‑focused stocks are, in his words, a bubble. He questioned the hype that artificial intelligence will slash labor costs and catapult productivity.
"AI‑related stocks and AI‑related valuations are definitely a bubble. There is no question about it," Nageswaran said. He argued that the narrative that AI will eliminate the need for human workers is exaggerated. "If your employee count is zero, then all profits accrue to the owners of capital. This is the kind of picture they want to paint," he explained.
The comments come as a global rally has driven investors to pour hundreds of billions of dollars into AI‑related firms. Companies such as Nvidia, along with semiconductor and infrastructure providers, have hit record valuations as the market bets on AI’s transformative power.
While acknowledging that AI will affect some job categories, Nageswaran cautioned against assuming widespread employment disruption. "It will have an impact on some IT skills, which will not be required anymore. But whether it will be a massive disruptor in terms of employment, the jury is still out," he said.
The CEA’s view aligns with concerns raised by Jefferies strategist Christopher Wood. In a recent "GREED & FIRE" note, Wood warned that the risks for a near‑term correction in AI‑linked stocks have increased. He noted that investor positioning has become crowded and that many Asia‑focused funds hold similar core stocks, including Taiwan Semiconductor Manufacturing Co., Samsung Electronics and SK Hynix.
Wood also highlighted a new risk: the wave of mega public offerings led by Elon Musk’s SpaceX. The SpaceX IPO, which closed on 12 June 2026 at a valuation above US$2 trillion, could absorb liquidity from existing market favourites. "Large IPOs could force investors to reallocate capital away from technology winners that have benefited from the AI boom over the past two years," Wood wrote.
Despite these cautions, global spending on AI infrastructure remains strong. Major technology companies are expected to invest hundreds of billions of dollars in AI infrastructure this year, and corporate demand for AI tools is still robust.
Both Nageswaran and Wood appear unconvinced that current market valuations fully reflect the uncertainties surrounding future returns. Their comments come as debates intensify over whether the AI rally resembles earlier episodes of market excess. While today’s leading AI companies are more profitable than many firms during the dot‑com era, critics argue that expectations have become increasingly detached from near‑term fundamentals.
The debate has gained additional relevance following the SpaceX IPO. The listing has become a symbol of investor appetite for technology and AI‑related growth stories, even as questions persist over whether such valuations can be justified by future earnings.
For now, neither Nageswaran nor Wood is calling for the end of the AI story. Both are signalling that investors may be underestimating the risks associated with a trade that has become one of the most crowded and expensive themes in global markets.
As AI enthusiasm continues to drive stock prices higher, the question increasingly being asked by policymakers and market strategists is not whether artificial intelligence will transform industries, but whether investors have already priced in too much of that future.
"AI‑related stocks and AI‑related valuations are definitely a bubble. There is no question about it," Nageswaran said. He argued that the narrative that AI will eliminate the need for human workers is exaggerated. "If your employee count is zero, then all profits accrue to the owners of capital. This is the kind of picture they want to paint," he explained.
The comments come as a global rally has driven investors to pour hundreds of billions of dollars into AI‑related firms. Companies such as Nvidia, along with semiconductor and infrastructure providers, have hit record valuations as the market bets on AI’s transformative power.
While acknowledging that AI will affect some job categories, Nageswaran cautioned against assuming widespread employment disruption. "It will have an impact on some IT skills, which will not be required anymore. But whether it will be a massive disruptor in terms of employment, the jury is still out," he said.
The CEA’s view aligns with concerns raised by Jefferies strategist Christopher Wood. In a recent "GREED & FIRE" note, Wood warned that the risks for a near‑term correction in AI‑linked stocks have increased. He noted that investor positioning has become crowded and that many Asia‑focused funds hold similar core stocks, including Taiwan Semiconductor Manufacturing Co., Samsung Electronics and SK Hynix.
Wood also highlighted a new risk: the wave of mega public offerings led by Elon Musk’s SpaceX. The SpaceX IPO, which closed on 12 June 2026 at a valuation above US$2 trillion, could absorb liquidity from existing market favourites. "Large IPOs could force investors to reallocate capital away from technology winners that have benefited from the AI boom over the past two years," Wood wrote.
Despite these cautions, global spending on AI infrastructure remains strong. Major technology companies are expected to invest hundreds of billions of dollars in AI infrastructure this year, and corporate demand for AI tools is still robust.
Both Nageswaran and Wood appear unconvinced that current market valuations fully reflect the uncertainties surrounding future returns. Their comments come as debates intensify over whether the AI rally resembles earlier episodes of market excess. While today’s leading AI companies are more profitable than many firms during the dot‑com era, critics argue that expectations have become increasingly detached from near‑term fundamentals.
The debate has gained additional relevance following the SpaceX IPO. The listing has become a symbol of investor appetite for technology and AI‑related growth stories, even as questions persist over whether such valuations can be justified by future earnings.
For now, neither Nageswaran nor Wood is calling for the end of the AI story. Both are signalling that investors may be underestimating the risks associated with a trade that has become one of the most crowded and expensive themes in global markets.
As AI enthusiasm continues to drive stock prices higher, the question increasingly being asked by policymakers and market strategists is not whether artificial intelligence will transform industries, but whether investors have already priced in too much of that future.
