Big three tech giants support a "slowdown," OpenAI postpones IPO! Community buzz: "AI deal" hit hard on Monday?
On Saturday, Anthropic CEO Dario Amodei published an article calling on the global AI industry to proactively slow down the pace of developing cutting-edge models, which was subsequently endorsed by Elon Musk and Sam Altman. Altman also told Fortune magazine that OpenAI will not proceed with its IPO plans this year, arguing that "it would be unwise to go public now given the current security situation."
The abrupt shift from pursuing extreme growth to emphasizing safety and slowing down has triggered a chain reaction in the trading community. Early market indicators show that related assets on the HyperliquidX platform fell sharply after the news of "AI slowdown," with OpenAI and Anthropic falling by 7% and 2.8%, respectively.

Several market observers and investors have issued warnings on social media, expressing concern that the news will significantly impact AI-related stocks such as Nvidia, Broadcom, and AMD on Monday. Jason, a well-known tech investor on the X platform, directly posted that "AI stocks will fall by more than 10% in early trading on Monday," and stated that Amodei's blog post "completely destroyed AI trading."

Market sentiment is under pressure, and "AI trading" faces revaluation.
The market is facing a potential reset of valuation models. User preetkailon stated that current market pricing is entirely based on massive AI spending and continued high-speed growth. If the pace of AI development does indeed begin to slow, investors will have to rethink these expectations. He advised investors to closely monitor AI-related companies such as Nvidia, AMD, and Marvell on Monday, and warned against blindly chasing high prices in the current market environment.

However, there is still disagreement as to whether fundamental demand will decline sharply as a result. User The AI Investor believes that existing models already possess sufficient productivity to drive unprecedented demand for inference computing:
"Even if the development of AI models slows down, the substantial impact on computing power demand will be relatively limited. The greater impact at present will be concentrated on market sentiment and panic, rather than on actual business levels."

Valuation logic changes, IPO plans encounter obstacles
The inherent contradiction between calls to slow down and the public market's appetite for high growth forms the core logic behind giants like OpenAI delaying their IPOs. CNBC reporter Deirdre Bosa points out that this is a natural development of this narrative. The more OpenAI and Anthropic believe that commercial pressures will drive AI companies to grow too fast, the more difficult it becomes for them to go public.
The public market adds additional pressure, including growth expectations, quarterly reports, and stock prices that fluctuate every second. Bosa stated that announcing to investors "we need to slow growth" is an extremely difficult model for publicly traded companies.
"While secure development may be more important than maximizing wealth creation, these companies' current massive private valuations, funding needs, and huge return expectations are all based on rapid progress."

User David Chie raised the question of whether "slowing down" refers to slowing down growth or slowing down the training of cutting-edge models. Bosa emphasized that the valuations of these companies are largely tied to the continued progress of cutting-edge technologies, especially in the competitive landscape where open-source weighted models are following closely behind. Slowing down cutting-edge development would directly shake the foundation of their high valuations.

Slowing capital spending or expectation management?
Beyond security considerations, the trading community is scrutinizing the potential business motives behind this rare collaboration between the "Big Three." User Jason Choi pointed out that Anthropic has always been outspoken about security issues, but its announcement of a specific speed-reduction plan at this time has sparked market speculation.
Some believe this could be a regulatory game. Clearly slowing down the development of cutting-edge models effectively gives competitors time to close the capability gap.
This move is essentially "IPO expectation management" at the corporate level, and provides an option to reduce capital expenditures (capex) in the future. Given the ever-increasing investment in AI infrastructure, slowing down under the guise of security could alleviate the financial pressure of these highly valued startups constantly burning through cash.

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