人工智能泡沫即将破裂的警告信号
The warning signs the AI bubble is about to burst

原始链接: https://www.telegraph.co.uk/business/2025/08/20/ai-report-triggering-panic-and-fear-on-wall-street/

与2000年互联网泡沫的担忧相呼应,华尔街现在正在质疑当前人工智能繁荣的可持续性。一份最近的麻省理工学院报告显示,高达95%的企业在生成式人工智能上投资了300亿至400亿美元,但*没有*看到任何财务回报。 这一消息引发了关键科技股的大幅抛售——英伟达跌幅3.5%,Palantir跌幅9%,引发了对潜在市场修正的担忧。尽管ChatGPT推出后普遍存在热情和大量投资,但大多数公司尚未实现人工智能承诺的经济转型和成本节约。 麻省理工学院对企业领导者和员工的调查表明,只有5%的人工智能项目正在产生实质价值,这表明当前的市场估值可能被高估,并且容易出现“泡沫破裂”。

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原文

“When will the internet bubble burst?” the cover story of Barron’s asked on March 20 2000. “That unpleasant popping sound is likely to be heard before the end of this year.”

In fact, that same day, one of the most high-profile tech businesses of the moment suffered a share price plunge of 60pc. A flood of other collapses followed, evaporating trillions of dollars.

Now, some on Wall Street fear that “unpleasant popping sound” may be imminent for the artificial intelligence (AI) boom.

On Tuesday, tech stocks suffered a shock sell-off after a report from Massachusetts Institute of Technology (MIT) researchers warned that the vast majority of AI investments were yielding “zero return” for businesses.

“Despite $30-40bn (£22-30bn) in enterprise investment into Gen[erative]AI, this report uncovers a surprising result in that 95pc of organisations are getting zero return,” MIT academics wrote.

Shares in Nvidia – the $4tn company that has powered the AI boom – dropped by 3.5pc, while data giant Palantir fell by 9pc.

MIT’s findings threaten to be the pin that pops the tech stock market bubble, which has added trillions of dollars to the value of US stocks.

Since the launch of ChatGPT in 2022, Silicon Valley has been evangelical that AI chatbots will transform the economy. Executives have spent billions on tools for their staff as a result and predicted massive cost-savings.

But the promised AI revolution has stalled, MIT’s report suggested.

After surveying 150 business leaders and 350 employees, MIT found that “just 5pc of integrated AI pilots are extracting millions in value, while the vast majority remain stuck with no measurable P&L [profit and loss] impact”.

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