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AI investment boom risks likened to past financial bubbles
Economists warn that the surge in artificial‑intelligence investment shows classic signs of a financial bubble. The article cites Carmen Reinhart and Kenneth Rogoff, whose 2009 book *This Time Is Different* documented how past crises were preceded by the belief that “this time will be different.” It draws parallels to the dot‑com boom and the 2008 credit crisis, noting that investors are pouring money into AI projects despite uncertain returns.
A Goldman Sachs Global Institute estimate quoted in the piece projects AI‑infrastructure spending of roughly $7.6 trillion between 2026 and 2031, underscoring the massive scale of capital being deployed. The analysis cautions that while AI promises genuine technological breakthroughs, the current market may be pricing in overly optimistic expectations, raising the risk of a sharp correction if the promised returns fail to materialise.
Entities
Carmen Reinhart · Goldman Sachs Global Institute · Kenneth Rogoff
Claims
What the coverage asserts, and how many sources carry each claim.
- [○ 1 SOURCE] The article compares the current AI investment surge to the dot‑com bubble and the 2008 financial crisis. infovilag.hu
- [○ 1 SOURCE] Carmen Reinhart and Kenneth Rogoff published the book *This Time Is Different: Eight Centuries of Financial Folly* in 2009. infovilag.hu
- [○ 1 SOURCE] The Goldman Sachs Global Institute estimates AI infrastructure construction will cost about $7.6 trillion between 2026 and 2031. infovilag.hu