Billionaire Dan Loeb refutes the AI bubble theory: The AI investment craze is far from peaking, and massive capital expenditures will yield returns
According to BusinessInsider, billionaire investor and hedge fund founder of Third Point, Dan Loeb, stated in a podcast that current market concerns about the "bubble theory" of artificial intelligence (AI) are greatly exaggerated, and the development stage of the AI industry is completely different from that of the internet bubble period.
Loeb pointed out that technology giants, including Alphabet, Microsoft, Amazon, and Meta, have collectively exceeded $700 billion in capital expenditures this year, which may reach $1 trillion next year, with the vast majority allocated for AI infrastructure development. He stated that to believe these capital expenditures will not yield returns is equivalent to thinking that companies are "burning money for no reason," but currently, these companies have strong profitability and ample cash flow, allowing them to support investments with their own balance sheets.
Loeb emphasized that this is different from the situation during the internet bubble when "valuations detached from fundamentals," and does not constitute a traditional valuation bubble. He also mentioned that AI companies like Anthropic are experiencing rapid revenue growth and accelerated product applications, indicating that the industry is still in the early stages of expansion.
Reports indicate that Anthropic's latest financing valuation is nearing $965 billion, with annualized revenue jumping from $14 billion to $47 billion, further strengthening market confidence in the commercialization potential of AI.
However, there are still some investors in the market, including Michael Burry, who express concerns about the overheated valuations of AI, believing that massive investments may struggle to yield corresponding returns. Loeb, on the other hand, stated, "We haven't even scratched the surface of AI development," and believes that we are still in the early stages of long-term growth.







