Warnings about a potential AI stock market crash are growing louder, with prominent economists drawing direct comparisons to the dot-com collapse of the early 2000s.
India's Chief Economic Advisor V. Anantha Nageswaran has said AI stock valuations are "definitely in a bubble," according to reporting by The Economic Times and MSN. Nageswaran expressed skepticism about the prevailing narrative surrounding AI's productivity gains and its broader impact on employment.
His comments echo a wider concern among market watchers. According to LiveMint, the current surge in technology stocks is displaying patterns strikingly similar to those seen during the dot-com bubble of the late 1990s — a period when rapid, enthusiasm-driven price increases in internet-related companies led to severely inflated valuations before a dramatic market correction wiped out trillions in value.
The dot-com bust, which reached its peak around 2000–2001, became a cautionary tale about investing in transformative technology before its commercial viability is proven. Critics argue that today's AI boom risks repeating the same mistake: markets pricing in a revolution that may take far longer to materialize — or may never fully deliver on its promises.
For everyday investors and pension holders, the stakes are real. If AI valuations are built on hype rather than fundamentals, a correction could ripple far beyond Silicon Valley, affecting retirement savings and broader economic stability.