AI Investment

anthropic ai warning chip stocks trade seen intact a toy ferris wheel on a frame

Anthropic’s AI Warning May Weigh on Chips, But Trade Seen Intact

Anthropic chief executive Dario Amodei’s call on 12 September 2026 to pace frontier AI development may weigh on chipmakers and their suppliers when US markets reopen, but strategists quoted by Bloomberg expect the broader AI trade to stay intact. We set out what the report found, where chip shares stood after a 14% fall from their June record, what the essay actually says about chips, the bear and bull cases, the compute contracts already signed, and why the Federal Reserve’s 16 September decision may matter as much.

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Situational Awareness, Star AI Hedge Fund That Nearly Imploded, Now Being Probed by the SEC

Situational Awareness was the best-performing large fund in the world in June 2026, up 439% net, and by the end of July it had been forced to sell its entire public equity book to Citadel in a single pre-market block. The Securities and Exchange Commission has now subpoenaed Goldman Sachs, JPMorgan Chase, Citigroup and Bank of America for records of the fund’s trades, its borrowing and its conversations with lenders. This breakdown walks through what the regulator has asked for, how four times leverage turned a sector correction into a forced liquidation, what the fund actually owned, why Citadel bought the book at a reported ten per cent discount, why the headline figures in different outlets do not match, and what a business buying AI compute should take from the whole episode.

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Is There an AI Bubble? No, But Some Tech Companies Show Signs

New Cornell research answers the AI bubble question with a statistical test rather than an opinion, and the answer is neither yes nor no. Using a stochastic-volatility-robust augmented Dickey-Fuller framework, Abir Sarkar and Martin Wells date-stamp the start and end of explosive price behaviour for twelve AI-exposed firms across 2018 to 2026. The sector as a whole shows no exuberance, and neither does the NASDAQ Composite; Alphabet, TSMC, Micron, Nvidia, Broadcom and Palantir do. This breakdown reads every date stamp the model produced, compares them with the standard test that flags eleven of the same twelve companies, sets the result against the Bank of England’s warnings on concentration and leverage, and translates the whole thing into the only question most businesses actually need to answer about their AI suppliers.

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