Concerns about AI bubble grow as SpaceX prepares record IPO

On the day SpaceX conducts the largest initial public offering (IPO) in history on the stock market, the market itself demonstrates clear signs of nervousness — and the reason is not rockets, but artificial intelligence. This is reported by The Next Web (TNW) publication, noting that several alarming signals turned on simultaneously, which in aggregate represent the first truly serious test of the trend that has supported world markets over the past two years.

What Is the Essence of AI Bubble Concerns

Over the past two years, a significant portion of stock index growth has been associated with companies one way or another tied to artificial intelligence — from chip manufacturers and cloud infrastructure to model developers and startups building products on top of generative AI. Such concentration of growth in one sector makes the market especially sensitive to any doubts about the sustainability of this model: slowing down the pace of AI implementation in business, questions about the return on investment of enormous investments in computing power, or reassessment of companies whose capitalization has grown many times faster than their revenue. This is precisely why talk of an "AI bubble" regularly comes up in business press, even when the technologies themselves continue to actively develop and find new users.

Why SpaceX IPO Became a Test for the Entire Market

By definition, the largest public offering in history attracts increased investor attention and capital transfer: some of the funds that could have gone into other securities, including stocks of AI companies, are redirected to participate in this deal. At the same time, an IPO of such scale becomes a kind of reference point: how the market will evaluate SpaceX and how quotes will behave after trading begins, investors will interpret as an indicator of overall risk appetite — including toward those very overvalued, in the opinion of skeptics, AI assets that have provided index growth over the past two years.

Key points of the situation:

• SpaceX is conducting the largest public offering in history on the stock market.
• Simultaneously, there is a selloff in the software and technology stock sector.
• Concerns are not about SpaceX itself, but about the sustainability of growth built around AI.
• This is the first serious test of the trend that has defined markets over the past two years.

What This Means for Investors

The coincidence of the largest IPO in history with growing anxiety around the AI sector creates a difficult fork in the road for the market: a successful SpaceX debut can temporarily distract from questions about valuations of AI companies and strengthen overall optimism, while a weak result or sharp volatility after placement could, conversely, strengthen the selloff in related technology stocks. In any case, the next few weeks after the IPO will be indicative of how sustainable the narrative about AI as the main driver of stock market growth over the past two years is — or how deep the correction is if this narrative begins to crack under the weight of actual financial indicators.

Talk of an "AI bubble" around the AI sector is not the first in stock market history: analysts regularly draw parallels with the dot-com bubble of the late 1990s — early 2000s, when stocks of internet companies soared on expectations of future profit long before that profit really appeared, and then crashed just as rapidly. The key difference in the current situation is that behind the AI sector stand companies with already real, measurable revenue and customer base, not just ideas and presentations — but this does not negate the question of whether current capitalization valuations correspond to the pace and sustainability of revenue growth. This is precisely why large, publicly observed events like record IPOs become convenient points around which the market can either once again convince itself of the strength of the trend or begin to reassess it.

Additional pressure on market nervousness is created by the fact that the selloff affects precisely the software sector — that is, companies that should have been the main beneficiaries of AI growth, selling their products and subscriptions based on new models, rather than just chip manufacturers and infrastructure providers whose revenue is more predictably tied to capital expenditures of industry giants. If investors start to doubt the ability of software companies to monetize AI features fast enough to justify current multiples, this is a far more fundamental signal about the state of the entire trend than fluctuations in quotes of individual equipment manufacturers.