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By Brian Tristam Williams
A confidential draft S-1 filing from Anthropic today has turned the AI IPO wave from a market rumour into a near-term test of public-market capacity, with SpaceX and OpenAI also moving towards listings that could pull hundreds of billions of dollars into a narrow group of AI-linked companies.
Anthropic said it has confidentially submitted a draft registration statement to the US Securities and Exchange Commission for a proposed initial public offering of common stock. The company has not set the number of shares or the price range, and said any listing will depend on the SEC review, market conditions and other factors.
Anthropic is no longer just another private AI lab trying to raise another private round. The company’s latest funding round valued it at $965 billion, putting it close to the trillion-dollar club before ordinary public-market investors have seen the audited numbers. Its Claude systems, particularly Claude Code and other enterprise tools, have also become a visible part of the AI productivity race.
That valuation puts Anthropic into the same conversation as OpenAI and SpaceX. Reuters has reported that OpenAI is preparing for a US IPO filing, while SpaceX is aiming for a Nasdaq debut under the ticker SPCX. Reuters has also reported that SpaceX could raise about $75 billion at a valuation of roughly $1.75 trillion.
For the electronics sector, this is not just a finance story. The same companies are driving demand for GPUs, custom accelerators, optical interconnects, memory, power conversion, cooling systems and datacentre capacity. As previously reported by eeNews Europe when Anthropic signed a SpaceXAI compute deal, frontier AI demand is already translating into very large infrastructure commitments.
The risk is concentration. If Anthropic, SpaceX and OpenAI list at or near the valuations now being discussed, public investors will have to absorb a large amount of new equity tied to a small number of companies, a small number of business models and a still-expensive compute build-out. Index funds may also be forced to rebalance if the companies enter major benchmarks quickly, selling existing holdings to make room for new mega-cap names.
Private markets can support aggressive assumptions for longer than public markets usually tolerate. Once these companies publish full prospectuses, investors will be able to compare revenue growth, losses, capital expenditure, compute obligations, customer concentration and governance structures side by side.
That is where this wave becomes more interesting. A successful run of listings would give AI infrastructure suppliers another leg of demand and validate the scale of current investment. A poor reception would not kill AI, but it would probably force a harsher distinction between useful AI deployment and valuations built on indefinite infrastructure spending. Either way, the first filings will give the electronics industry a clearer view of how much of the AI boom is becoming durable demand.
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