JPMorgan warns AI boom needs $650 billion a year, just for 10% return - bubble brewing?

AI bubble warning 2025: J.P. Morgan warns the AI industry faces a harsh financial reality, requiring $650 billion in annual revenue by 2030 for a modest 10% return on massive investments. The report draws parallels to the telecom bubble, cautionin...

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AI bubble warning

AI bubble warning 2025: The artificial intelligence (AI) industry’s explosive growth could come with a harsh financial reality. According to a new report from J.P. Morgan, the sector would need to generate $650 billion in annual revenue just to deliver a modest 10% return on the massive investments expected through 2030, as per a report shared by analyst Max Weinbach on social media X.

AI Industry Faces Financial Reality Check

To put that into perspective, the report equates this to an extra monthly payment of $34.72 from every iPhone user or about $180 from each Netflix subscriber, as per a Tom's Hardware report. With around 1.5 billion active iPhone users and over 300 million paying Netflix subscribers, the figures highlight the enormous scale of spending required, especially as many consumers remain unconvinced about the value of AI-powered devices and services, as per the report.

<blockquote class="twitter-tweet">Reading a JP Morgan AI CAPEX report and this is such a great way to put AI ROI into perspective<br/><br /><br /><br />"to drive a 10% return on our modeled AI investments through 2030 would require ~$650 billion of annual revenue into perpetuity... which equates to $34.72/month from every current… <a href="https://t.co/OfUQeMS7FG">pic.twitter.com/OfUQeMS7FG</a><br/><br /><br /><br />— Max Weinbach (@mweinbach) <a href="https://twitter.com/mweinbach/status/1987912908567916693?ref_src=twsrc%5Etfw">November 10, 2025</a></blockquote> <script async="" src="https://platform.twitter.com/widgets.js" charset="utf-8"></script><br /><br /><br /><br /><br /><br />



JPMorgan Draws Parallel to Telecom Bubble

J.P. Morgan’s report also warns that AI growth may not be smooth. It compares the current AI investment surge to the telecom fiber buildout, when revenues failed to match infrastructure costs. The report cautioned, “The path from here to there will not just be ‘up and to the right,’” adding, “Our biggest fear would be a repeat of the telecom and fiber buildout experience, where the revenue curve failed to materialize at a pace that justified continued investment,” as quoted by Tom's Hardware.

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OpenAI and Anthropic post big revenues but profits remain elusive

While companies like OpenAI and Anthropic have reported or projected billions in annual revenue, with OpenAI said to be on a $20 billion run rate and Anthropic targeting $26 billion by 2026, those figures are still far from industry-wide profitability, as reported by Tom's Hardware.
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Compute overcapacity could leave AI data centers sitting idle

The J.P. Morgan report also pointed to another looming risk, compute overcapacity. With AI data centers costing billions to build, a slowdown in demand could leave vast computing infrastructure sitting idle, as per the report. Even OpenAI CEO Sam Altman and Microsoft’s Satya Nadella have voiced similar concerns about the potential for excess capacity outpacing demand, according to the Tom's Hardware report.

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Experts fear an AI bubble could wipe out $20 trillion in market value

Although the report does not call it an AI bubble, it echoes growing fears in the tech world. Former Intel CEO Pat Gelsinger noted that while AI has disrupted industries, most businesses have yet to see meaningful profits from it, as per the report. A collapse in the AI market could wipe out as much as $20 trillion in market value, affecting not just AI companies but the broader tech sector, reported Tom's Hardware.

Winners and Losers Inevitable in AI Race

However, the J.P. Morgan report warns that, “Regardless, even if everything works, there will be (continued) spectacular winners, and probably some equally spectacular losers as well, given the amount of capital involved and winner-takes-all nature of portions of the AI ecosystem,” as quoted in the report.
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FAQs

Is JPMorgan predicting an AI bubble?

Not directly, but the report echoes growing fears that overinvestment could lead to one.
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How much market value could be at risk if an AI bubble bursts?

Up to $20 trillion in global market capitalization, according to analysts.
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