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How 'Situational Awareness' Hedge Fund Dropped 67% in AI Stock Rout

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タイトル:AI株の崩壊でヘッジファンド「Situational Awareness」が67%下落

ヘッジファンド「Situational Awareness」は、2024年にドイツ出身のLeopold Aschenbrennerによって設立されました。Aschenbrennerは以前、OpenAIで働いていました。「AIが未来の市場に決定的な影響を及ぼすだろう」という信念に基づき、彼は約2年間で数百億ドルを数十兆ドルに増やしました。しかし、この流れは7月に一変し、多くの投資が損失に転じたため、彼のヘッジファンドは主要株式をライバルのCitadelへ大量売却せざるを得ませんでした。

Aschenbrennerは自己融資を使用したリスクのある戦略を採用しました。株価が上昇する際は大きな利益が得られますが、下落した場合に与える損失は巨大です。特にこの月のAI株安とチップメーカー、クラウドコンピューティング企業の株安は、ヘッジファンドにとって重い打撃となりました。Aschenbrennerは投資家に宛てた手紙で「銀行 Runs」と表現しました。

criticsはAschenbrennerが未経験者の点を指摘し、彼の成功を運の良さと評価しています。また、Situational Awarenessは400%のレバレッジを使用していたという報道もあり、この状況は予想内でした。

Wall Streetでは、多くの投資家が同じAI関連企業に投資しており、同ヘッジファンドの崩壊を深刻に受け止めています。一時的な出来事であると見られますが、さらなる問題が出る可能性は指摘されています。

この記事は、https://slashdot.org/から引用しています。
CNN tells the unfortunate tale of hedge fund Situational Awareness, "founded in 2024 by German-born Leopold Aschenbrenner when he was in his early 20s." Aschenbrenner, a former OpenAI employee, founded the hedge fund on the premise that "AI will be the dominant driver of global market returns over the next decade," according to the firm's site... Aschenbrenner managed to turn hundreds of millions of dollars into tens of billions of dollars over the course of roughly two years... That streak ended on Thursday, though, when the fund was forced to sell the bulk of its public holdings to a bigger rival after many of its investments went south. But that's only part of the story. The fund employed a risky strategy of borrowing money to purchase stocks. When the investments appreciate, the payoff can be massive. But when the investments sour, the losses can be catastrophic. The downturn in AI stocks over the course of this month, like chip makers and cloud computing providers, hit the hedge fund extra hard. It was forced to sell off many investments at a steep discount to rival hedge fund Citadel in what Aschenbrenner reportedly compared to a "bank run" in a letter to investors. "Critics pointed out that Aschenbrenner had no experience running money prior to launching his fund in July 2024, calling him more lucky than smart," writes CNBC: Some noted that his early work experience was at the doomed crypto firm FTX, where he helped now-disgraced founder Sam Bankman-Fried run a charity out of a Bahamas penthouse. Others on Wall Street, including former traders at global investment banks, noted that in light of reports Situational Awareness used as much as 400% leverage, the collapse wasn't shocking. The Wall Street Journal reports that Situational Awareness "also used options to amplify its returns. That meant that even small declines in individual names could have big impacts on Situational's portfolio." And so, as the New York Post put it, "The celebrated crystal ball of the 'Nostradamus of AI' hasn't merely gone cloudy — it has rolled off the table and shattered on the parlor floor." Wall Street breathed a huge sigh of relief last week as an AI-focused hedge fund called Situational Awareness reportedly sold most of its portfolio — reportedly down 67% last month on the backfiring of debt-fueled bets on chipmakers and assorted artificial-intelligence firms — to billionaire Ken Griffin's Citadel... The prevailing sentiment was best summed up by a veteran Wall Street sage who has seen a lot of flameouts in his day. Let's just say he wasn't impressed by Leopold Aschenbrenner, the 25-year-old German-born "Nostradamus" figure who is the founder of Situational Awareness... "Just your typical leveraged idiot who was right until he was wrong," the source said, adding that the implosion is a "one-off...." [Another trusted source] felt there was room for conversation: "A significant issue. Not viewed as systemic right now. I wonder if that changes as more problems arise." Indeed, the fact is that most of Wall Street is closely monitoring the Situational Awareness situation because they were holding many of the same positions as Aschenbrenner. Another top hedge fund manager I won't name tells me he has been getting crushed on similar investments in chipmakers essential to the AI supply chain, as well as other companies feeding off this technology. Thanks to Slashdot reader joshuark for sharing the news.

Read more of this story at Slashdot.

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Is Big Tech's AI Gamble Starting to Look Riskier?

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大手テクノロジー企業がAIに巨額投資をしていることに関する記事を日本語で要約します。

Washington Postは、大手テクノロジー企業が「AI装置の底lessな吸収力に対し、すべての現金を投じている」と指摘しています。以前には余剰金を残していた大手テクノロジー企業も今では赤字に転じていると警告しています。

オプティミストは、AIが大きな利益を生み出し、社会全体の財政的および精神的な豊かさを促進すると期待しています。しかし、その実現時期や、AI投資が迅速には成果を挙げない場合の影響など、懸念事項が増えています。「このAIがうまくいかなければ、問題になる」とアポロ・グローバル管理の経済学者トロンストン・スロクは述べています。

大手テクノロジー企業は大規模なデータセンターを建設し、高度なAIモデルを開発するための半導体や機器などに莫大な費用を投じています。最近の株式市場ではAIバブルが破裂する可能性があることで不安が広がっています。

過去数ヶ月間で、 Alphabet(Google)、マイクロソフト、Meta、アマゾンなどの財務報告書によれば、AIに関連する売上が増加している一方、その費用は企業が獲得したキャッシュを上回る規模となっています。来年には、アルファベット、アマゾン、マイクロソフト、メタ、オラクルの5大AI企業が自由キャッシュフローがマイナスになると予想されています。

これらの企業は現金を稼ぐ一方で、投資家からの借入や株式売却によって差額を賄っています。しかし、AIの成功に懐疑的な見解も広がっており、「この巨大な賭けが成功しない限り」、世界経済全体の不況が起きる可能性があるとバナーリング条約銀行は警告しています。
The Washington Post looks at giant tech companies "feeding every available dollar into the cash-incinerating maw of AI machines." They warn "Tech superstars that once had oodles of cash left over at the end of each year are now flipping into the red..." [While optimists expect] huge corporate profits and a society-wide boost to wealth and well-being... questions about that AI vision are now growing more urgent: When, if ever, will this payoff arrive? And what will the fallout be for Americans if the titanic investment doesn't quickly deliver? "This AI thing better work out because if it doesn't ... we're going to have a problem," said Torsten Slok, chief economist at investment firm Apollo Global Management. AI costs and doubts are spreading. The U.S. stock market has swooned this summer over fear of the AI bubble going bust... The AI gamble sweeping up American fortunes is led by tech companies splurging on hulking data centers packed with computer chips and equipment needed to develop sophisticated AI models and deliver them to customers. In investor calls in the past week, Google, Microsoft, Meta and Amazon pointed to soaring AI-related sales and business deals. Advertisers are using the technology to tailor marketing pitches and corporations and start-ups are buying access to chatbots and other AI software to boost productivity... But this spending can only continue if AI generates an even larger avalanche of new revenue to pay for it all. Financial results released over the past week show that the AI titans' mammoth costs are largely swamping the sales boost from the technology. At Google, for every dollar of cash its business generated in the past three months, $1.15 went out the door to pay for AI computer chips and equipment, land for AI data centers and other big-ticket purchases. The company is covering the difference partly by borrowing money and selling more of its stock. Next year, five leading AI companies — Google, Amazon, Microsoft, Meta and Oracle — are projected to have negative free cash flow, which measures the cash left over after paying expenses and AI infrastructure costs. The figures, based on investment analyst projections compiled by S&P Global Market Intelligence, show a stunning reversal for what have been some of the world's most cash-generating corporations... The companies remain profitable by standard financial accounting measures that spread out the costs of their AI infrastructure spending over many years... Pessimists see a bet so gargantuan that it cannot possibly pay off. The pessimists are growing louder. The Bank for International Settlements, a typically measured institution in Switzerland that advises government bankers around the world, recently warned there was risk of "economy-wide recessions" if the AI boom falters. That could mean pain for workers and communities across the United States. "I'm not saying AI is going to go away, it's just not clear to me these guys are going to make money on it," said Christopher Wood, global head of equity strategy at investment bank Jefferies who has correctly predictedpast financial bubbles.

Read more of this story at Slashdot.

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