AI Hype Mirrors Dot-Com Bubble, Warns Veteran Analyst James Ferguson

James Ferguson, founding partner of MicroStrategy Partnership, warns that the current AI hype has created a market bubble akin to the dot-com era. He suggests that AI's unproven applications and high energy consumption could lead to disappointing investor outcomes.

AI Hype Compared to Dot-Com Bubble, Warns Analyst James Ferguson on Investor Risks

In the present day, it is impossible to avoid the hoopla surrounding AI. According to Fortune's report, the promise of new developments, such as personal robot assistants and miraculous cancer remedies, is ubiquitous as executives seize every opportunity to showcase their AI capabilities to enthusiastic investors and slightly less enthusiastic consumers.

However, not all individuals have been as impressed by the AI fanfare. James Ferguson, the founding partner of the UK-based macroeconomic research firm MicroStrategy Partnership, is concerned that the exuberance of investors in artificial intelligence (AI) has resulted in a concentrated market bubble that bears striking similarities to the dot-com era.

“These historically end badly,” Ferguson told Bloomberg’s Merryn Somerset Webb in the latest episode of the Merryn Talks Money podcast. “So anyone who’s sort of a bit long in the tooth and has seen this sort of thing before is tempted to believe it’ll end badly.”

The seasoned analyst contended that hallucinations, characterized by the propensity of large language models (LLMs) to fabricate facts, sources, and other elements, may prove to be a more intractable issue than initially thought, resulting in a significantly reduced number of viable AI applications.

“AI still remains, I would argue, completely unproven. And fake it till you make it may work in Silicon Valley, but for the rest of us, I think once bitten twice shy may be more appropriate for AI,” he said. “If AI cannot be trusted…then AI is effectively, in my mind, useless.”

Ferguson also noted that AI may be an uneconomical instrument for numerous organizations due to its excessive energy consumption. In support of his assertion, a recent study by the Amsterdam School of Business and Economics revealed that AI applications could consume as much power as the Netherlands by 2027.

“Forget Nvidia charging more and more and more for its chips, you also have to pay more and more and more to run those chips on your servers. And therefore you end up with something that is very expensive and has yet to prove anywhere really, outside of some narrow applications, that it’s paying for this,” he said.

Ferguson cautioned investors, particularly those investing in AI, that the excessive-tech hype, founded on questionable promises, is strikingly similar to the period preceding the dot-com crash. He observed that market returns were primarily concentrated in technology equities traded based on Wall Street's excessive earnings growth estimates during both periods.

Nvidia's Valuation Compared to Dot-Com Era Risks, Analyst Ferguson Urges Caution and Small-Cap Focus

Despite those lofty forecasts, Cisco and Intel, the dominant hardware titans of the dot-com era, have largely disappointed investors since then. Ferguson contended that the current AI hardware hero, Nvidia, may suffer a comparable destiny, particularly in light of its elevated valuation.

“What multiple of sales is Nvidia a good deal on if you think that it might only have—no matter how stratospheric the growth rate at the moment—if you think that it’s probably not going to be a player in a decade’s time?” he asked, implying Nvidia might not be worth the current price tag of nearly 40 times sales investors are paying.

Ferguson acknowledged that no one can predict the conclusion of a bubble, despite his assertion that AI-linked tech stocks such as Nvidia are highly overvalued. According to the analyst, this dynamic results in numerous bearish investors feeling "compelled to play" in the markets, even when stocks appear expensive. This is an excellent method of accumulating losses.

“I mean, it’s certainly what was happening in the dot-com [bubble], for example, where almost anybody who wasn’t a retail punter was looking at these things and saying, ‘well, it can’t last, but having said that, if it lasts one more quarter and I’m not playing, I’ll lose my job,’” he explained.

According to Ferguson, the good news is that there is still value in the market, as the present stock market bubble is so concentrated in AI-linked stocks.

Indeed, the AI bubble's burst will significantly cause investors to suffer. However, Ferguson subsequently advised investors to consider the undervalued U.S. small-cap equities, which may be advantageous in the event of interest rate reductions and are not currently highly anticipated.

“There’s a lot of value to be found in the U.S. The trouble is that that value is to be found in good old fashioned ways, trawling through small caps and looking for businesses that are growing in a good old fashioned, steady way,” he said.

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