Main buyers who navigated the dot-com crash are dusting off their playbooks from the late Nineties, however they’re discovering the present AI bubble presents dangers that make the 2000 tech collapse look nearly quaint by comparability. The parallels are unmistakable: huge valuations<\/a>, infrastructure overbuild<\/a>, and corporations spending billions with out clear paths to profitability<\/a>, however the scale and systemic dependencies have basically modified the sport.<\/p>\n Learn my earlier report – <\/i>The Trillion-Greenback AI Bubble No person Sees Coming<\/i><\/a><\/p>\n “What we’re doing is what labored from 1998 to 2000,<\/i>” stated Francesco Sandrini, multi-asset head and Italy CIO at one in every of Europe’s largest asset managers Amundi<\/a>. Skilled buyers are shifting from hyped-up AI shares into potential next-in-line winners, reviving a method that helped some sidestep the worst of the dot-com crash. However this time, the stakes are exponentially larger.<\/p>\n International company AI funding reached $252.3 billion in 2024 in keeping with Stanford College analysis<\/a>, with the sector rising thirteenfold since 2014. In the meantime, America’s greatest tech corporations : Amazon, Google, Meta, and Microsoft have pledged to spend a document $320 billion on capital expenditures this 12 months alone<\/a>, a lot of it for AI infrastructure. Meta CEO Mark Zuckerberg introduced plans this 12 months for an AI information heart<\/p>\n “so giant it may cowl a major a part of Manhattan.”<\/i><\/p>\n<\/blockquote>\n Learn additionally – <\/i>Why AI Security Officers Preserve Quitting Their Jobs<\/i><\/a><\/p>\n\n