AI bubble fears grow as SpaceX prepares a record IPO

On the day SpaceX holds the largest initial public offering (IPO) in stock market history, the market itself is showing clear signs of nerves, and the cause is not rockets but artificial intelligence. The Next Web (TNW) reports that several warning signals have switched on at once, and together they amount to the first truly serious test of the trend that has supported global markets over the past two years.

What lies behind the AI bubble fears

Over the past two years, a significant share of the growth in stock indices has come from companies tied in one way or another to artificial intelligence, from makers of chips and cloud infrastructure to model developers and startups building products on top of generative AI. This concentration of growth in a single sector makes the market especially sensitive to any doubt about the durability of the model: a slowdown in business adoption of AI, questions about whether the enormous investments in computing capacity will pay off, or the repricing of companies whose market capitalization has grown many times faster than their revenue. That is why talk of an AI "bubble" regularly resurfaces in the business press, even as the technology itself keeps developing rapidly and finding new users.

Why the SpaceX IPO became a test for the whole market

The largest offering in history by definition draws heightened investor attention and capital flows: part of the money that could have gone into other securities, including AI company shares, is redirected into this particular deal. At the same time, an IPO of this scale becomes a kind of reference point: investors will read the way the market values SpaceX, and how the shares behave once trading begins, as an indicator of overall risk appetite, including appetite for the very AI assets that skeptics consider overvalued and that drove index growth over the last two years.

Key points of the situation:

• SpaceX is holding the largest public stock offering in history.
• At the same time, there is a selloff in the software sector and in tech stocks.
• The concerns are not about SpaceX itself but about the durability of growth built around AI.
• This is the first serious test of the trend that has defined markets for the past two years.

What this means for investors

The coincidence of the largest IPO in history with rising anxiety around the AI sector puts the market at a difficult fork. A successful SpaceX debut may temporarily divert attention from questions about AI company valuations and reinforce general optimism, whereas a weak result or sharp volatility after the offering could, conversely, deepen the selloff in related tech stocks. Either way, the weeks following the IPO will show how resilient the narrative of AI as the main driver of stock market growth over the past two years really is, or how deep a correction could go if that narrative begins to crack under the weight of real financial results.

Talk of an AI "bubble" is not the first in stock market history: analysts regularly draw parallels with the dot-com bubble of the late 1990s and early 2000s, when internet company shares soared on expectations of future profit long before that profit actually materialized, and then crashed just as fast. The key difference today is that the AI sector is backed by companies with real, measurable revenue and customer bases, not just ideas and slide decks. But that does not remove the question of whether current market valuations match the pace and durability of that revenue growth.

This is why large, publicly watched events such as a record IPO become a convenient moment at which the market can either reaffirm its confidence in the trend or begin to reprice it.

Additional pressure on market nerves comes from the fact that the selloff hits the software sector specifically. These are companies that were supposed to be the main beneficiaries of AI growth by selling products and subscriptions built on new models, and not only chipmakers and infrastructure providers, whose revenue is more predictably tied to the capital spending of industry giants. If investors start doubting that software companies can monetize AI features fast enough to justify current multiples, that is a far more fundamental signal about the state of the whole trend than swings in the share prices of individual hardware makers.