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AI bubble? Opinions divided on tech’s trillion dollar question

Daniel Nenni

Admin
Staff member
Investors are on guard for signals that demand for artificial intelligence is tailing off or that the massive spending is not paying off as anticipated.

Investments in AI, which have outstripped government-led initiatives like the Manhattan Project and the Apollo program, are reshaping global technology and drawing markets’ focus to a handful of behemoth companies, but they also create risks of a financial bubble.

Here is a list of industry executives, economists, investors and analysts’ takes on the topic:

MORTEN WIEROD, CEO OF ABB​

“I don’t think there is a bubble, but we do see some constraints in terms of construction capacity not keeping up with all the new investments,” Wierod told Reuters on October 16.

“We are talking about trillions in investment,” he said. “That will take a few years to implement because there is not enough people and resources to build all this.”

DENIS MACHUEL, CEO OF ADECCO​

“There’s really at the moment a disconnect between this enormous supply of AI and the way enterprises are really embedding AI in their core processes,” Machuel said in November.

The Swiss staffing group’s joint venture with Salesforce could help reduce the risk of an AI bubble by pushing companies into more concrete uses of the technology, he added.

SUNDAR PICHAI, CEO OF ALPHABET​

“I think no company is going to be immune, including us,” Pichai said in an interview with the BBC published on November 18, when asked about how Google would cope with a potential bursting of a bubble.

He said the current wave of AI investment was an “extraordinary moment” but acknowledged “elements of irrationality” in the market, echoing warnings of “irrational exuberance” during the dotcom era.

JEFF BEZOS, FOUNDER AND EXECUTIVE CHAIRMAN OF AMAZON​

“When people get very excited as they are today about artificial intelligence, for example, every experiment gets funded ... And investors have a hard time in the middle of this excitement distinguishing between the good ideas and the bad ideas,” Bezos said during the Italian tech week on October 3.


“A bubble like a banking bubble, a crisis in the banking system, that’s just bad ... The ones that are industrial are not nearly as bad, it could even be good because when the dust settles and you see who are the winners, society benefits from those inventions.”

BANK OF ENGLAND​

Global markets could tumble if investors’ mood sours on the prospects for AI, the Bank of England said on October 8.

“The risk of a sharp market correction has increased,” the BoE’s Financial Policy Committee said in a quarterly update, in its sharpest warning to date of the dangers of an AI-triggered market slump, adding that the risk of spillovers to Britain’s financial system from such a shock was “material”.

BRYAN YEO, CHIEF INVESTMENT OFFICER AT GIC​

“There’s a little bit of a hype bubble going on in the early-stage venture space,” said Singapore sovereign wealth fund’s Yeo during a panel discussion at the Milken Institute Asia Summit on October 3.

“Any company startup with an AI label will be valued right up there at huge multiples of whatever the small revenue (is) ... That might be fair for some companies and probably not for others.”

JOSEPH BRIGGS, ECONOMIST AT GOLDMAN SACHS’ GLOBAL ECONOMICS RESEARCH​

The flood of multibillion-dollar investments pouring into U.S. AI infrastructure is sustainable, pushing back on mounting concerns that the sector’s spending spree could be overheating, Briggs said in a note on October 16.

While the overall macroeconomic case for AI investment remains strong, he cautioned that “the ultimate AI winners remain less clear”, with fast technological change and low switching costs potentially limiting first-mover advantages.

PIERRE-OLIVIER GOURINCHAS, CHIEF ECONOMIST AT IMF​

The AI investment boom in the U.S. may be followed by a dotcom-style bust, but it is less likely to be a systemic event that would crater the U.S. or global economy, Gourinchas said on October 14.

“This is not financed by debt, and that means that if there is a market correction, some shareholders, some equity holders, may lose out.”

JENSEN HUANG, NVIDIA CEO​

“There’s been a lot of talk about an AI bubble. From our vantage point, we see something very different,” Huang said on a call with analysts in November, as he touted how much cloud companies wanted his firm’s chips.

SAM ALTMAN, CEO OF OPENAI​

“Are we in a phase where investors as a whole are overexcited about AI? My answer is yes,” Altman told tech media The Verge in August.

“Someone is going to lose a phenomenal amount of money. We don’t know who, and a lot of people are going to make a phenomenal amount of money.”

MICHAEL BURRY, INVESTOR AND FOUNDER OF SCION ASSET MANAGEMENT​

The “Big Short” investor has placed bearish bets on Nvidia and Palantir.

Last month, in his first X post in more than two years, Burry warned of a bubble, fanning investor concerns over inflated spending in the AI and tech industry.

CHEY TAE-WON, CHAIRMAN OF SK HYNIX​

“I don’t see a bubble in (the AI industry),” the head of South Korean conglomerate that owns the leading memory chipmaker said in December.

“But when you look at the stock markets, they rose too fast and too much, and I think it is natural that there could be some period of corrections,” he said, adding that AI stocks have been climbing beyond their fundamental value.

UBS​

Almost as many investors who feel we are in an AI bubble are also hanging on to their investments in the sector, UBS equity strategists said on October 14.

“Most felt we were in an AI bubble, but that far from the apex of a bubble peak and thus around 90 per cent of the people who said we were in a bubble said they were still invested in many of the AI-related areas.”

 
I asked various AI's, "Is AI in a financial bubble right now?"

Grok:
Conclusion: Yes, It's a Bubble—But One with Legs
AI is in a financial bubble right now, characterized by $3T+ in debt-tinged overinvestment chasing uncertain returns, mirroring dot-com excess but amplified by scale and leverage. Valuations are unsustainable for many (e.g., Palantir P/S 113x), and circular deals create fragility. That said, unlike 1999's empty hype, AI builds real infrastructure with proven demand edges, so a burst may cull weak players (95% of startups?) without erasing the tech's value—potentially minting trillion-dollar winners like Nvidia or Microsoft. For investors: Diversify beyond pure AI plays; focus on enablers (utilities, semis) over hype. The boom continues, but tread carefully—the pop could redefine markets by mid-2026.

ChatGPT:
"Bottom Line"
  • Yes, parts of the AI market show bubble-like characteristics.
  • But a full blown, dot-com-style burst is not a consensus view right now.
  • Expect volatility and selective corrections, not guaranteed collapse.
  • Long-term AI value still seems real, even if short-term prices overshoot fundamentals.

Gemini:
Yes, there are significant concerns and active debate about whether the AI sector is in a financial bubble, with many experts seeing signs of overvaluation and speculative excess, particularly in tech stocks and data center investments, while others argue it's a justified "investment super-cycle" driven by transformative technology, though even optimists acknowledge potential froth. Key indicators of concern include rapid, trillion-dollar spending, high stock valuations reminiscent of the dot-com era, and comparisons to historical bubbles, though some data, like low equity issuance, suggests caution.

Claude:
The bottom line:


Whether this is a bubble likely depends on AI's actual productivity impact over the next 3-5 years. The infrastructure is being built at unprecedented scale—the question is whether real economic value will materialize to justify it. Even if it is a bubble, history suggests transformative technologies often emerge from such periods, even as many individual companies and investors lose money.
 
The question is will the real economic value support so many players?

In my opinion it will depend on access to data. Google certainly has an advantage there. Grok as well since Elon Musk bundles his companies together. Xai has data from Tesla, X, and Starlink. Microsoft will do okay since they have a huge business portfolio around it. OpenAI was first out so they have the most users but they do not have the portfolio of other products yet. I no longer subscribe to OpenAI. I use Grok, OpenAI and Gemini with improving success.
 
The question is will the real economic value support so many players?

In my opinion it will depend on access to data. Google certainly has an advantage there. Grok as well since Elon Musk bundles his companies together. Xai has data from Tesla, X, and Starlink. Microsoft will do okay since they have a huge business portfolio around it. OpenAI was first out so they have the most users but they do not have the portfolio of other products yet. I no longer subscribe to OpenAI. I use Grok, OpenAI and Gemini with improving success.
Microsoft, (and partially by extension - OpenAI) has access to large amounts of Corporate emails. I'm not sure how this has settled out, but their AI has been summarizing emails in Outlook for a while, and allowing default responses. Microsoft claims they don't train off of this, but.. they're learning something from it for sure.

There's probably an opportunity for a major AI player to partner with Facebook/Meta given how much data they have that could be used for training.. (Meta's AI solution appears to be falling behind on it's own).

Seperate but related, I'm curious if it'll turn out that certain alphabets/human langauges make for more efficient training and usage of LLMs than others..
 
I'm not really seeing it in absolute levels of capex, on balance sheets, or in company valuations.

You are seeing some speculative projects but people said the same thing about web 2.0 when the word unicorn was invented and there would be apps like Uber for Dogs and all kinds of new social media companies or whatever and people thought that was a sure sign that we were in another tech bubble, and plenty of those companies failed with no significant impact on the tech industry.

And you had in 2020-2022 maybe a mini bubble in clean tech companies with dozens of new EV companies, battery companies, vertical farming companies, and again most of the more speculative companies in those spaces have failed or are severely underperforming but things keep rolling along and we are now even seeing a bit of a clean tech renaissance.

I am seeing a bubble in the rate of capex growth, where if AI capex keeps increasing at the rate it has without revenue catching up then yes we will be in a bubble in a couple of years.
 
You only need to look at one company - OpenAI. That's what will pop the bubble. OpenAI lost $12 billion last quarter and they are losing subscribers, because Gemini 3 and Claude are better. They need $12 billion every quarter and running out of fresh venture capital to keep things going.
$12b is a lot of money for one company to lose in a quarter but it's not that much in the grand scheme of things.
 
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