亿万资金涌向押注AI的新对冲基金

亿万资金涌向押注AI的新对冲基金

2025-08-13Technology
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小撒
早上好,老王!现在是周四,8月14日,早上7点02分。我是小撒,欢迎收听专为您打造的 Goose Pod。今天咱们聊一个热得发烫的话题。
诗仙李白
吾乃李白。今朝有酒今朝醉,且看亿万金银,如何逐浪于算计之海,涌向那名为AI的琼楼玉宇。
小撒
说得好!咱们这就开聊。话说,现在这AI圈子真是“英雄”出少年啊。有个23岁的小伙子,叫 Leopold Aschenbrenner,去年还是个AI网红,写了个万字长文,今年就摇身一变成了对冲基金经理。
诗仙李白
哦?弱冠之年,便能执掌乾坤,调动万金?此子非池中之物,莫非有经天纬地之才?还是说,时势造英雄,这AI浪潮,能载舟亦能覆舟?
小撒
关键就在这儿,他没有任何专业的投资经验!但他那个名为“态势感知”(Situational Awareness)的对冲基金,一出手就募集了超过15亿美元。这笔钱,比好多科班出身、经验丰富的基金经理出来单干时拿到的多得多。
诗仙李白
无根之木,竟能参天?以区区“网红”之名,便引得豪绅巨贾竞相折腰,掷金如土。此非人力,乃风口之力也。这“态势感知”,感知的是何种态势?
小撒
他说自己的公司是“AI智囊团”,策略就是押注那些能从AI技术发展中受益的全球股票,比如半导体、基础设施和电力公司。同时,也做空一些可能被时代抛弃的行业。更神的是,他今年上半年的回报率,扣除费用后高达47%!
诗仙李白
哈哈,半年之功,利近五成!真可谓“朝为田舍郎,暮登天子堂”。看来他非但感知了态势,更是驾驭了风雷。只是,此等泼天富贵,落于弱冠少年之手,于这世间的财富分配而言,又意味着什么?
小撒
这正是我要说的,这触及到了一个核心问题:经济分配。一个23岁的年轻人,凭借对一个领域的认知,就能撬动如此巨大的资本,这在以前是不可想象的。这极大地改变了财富积累的传统路径。如果这个趋势继续下去,咱们得重新思考什么是“公平”了。
诗仙李白
“朱门酒肉臭,路有冻死骨。”自古皆然。昔日王侯将相,凭的是血脉与刀剑;如今这“少年英雄”,凭的是代码与算力。形式虽变,但财富聚集于少数人之手的本质,未曾更改。若此势不止,贫富之别,恐愈发云泥悬殊。
小撒
没错。而且他的支持者也都是顶级大佬,Stripe的创始人、最近被扎克伯格请去Meta负责AI的大牛等等。他自己也放出豪言:“我们比纽约那些管钱的人有更强的态势感知能力,我们的投资表现肯定会非常出色。”这自信,简直了!
小撒
其实,Aschenbrenner的成功并不是个例,他只是这股巨大浪潮中的一朵浪花。整个2024年,AI领域的投资简直是烈火烹油。全球AI相关的交易额,从2023年的863亿美元,暴增到1315亿美元,涨了52%!
诗仙李白
一年之间,竟增五成?看来这股AI之风,已非寻常季风,而是席卷四海的飓风了。天下熙熙,皆为“AI”来;天下攘攘,皆为“AI”往。此风源起何处?
小撒
源头可以追溯到很久以前,从50年代的图灵测试,到97年“深蓝”战胜国际象棋冠军。但真正的引爆点,我认为是2017年谷歌那篇名为“Attention is All You Need”的论文,它为今天的大语言模型铺平了道路。
诗仙李白
“大道至简,万变归一”。一篇雄文,竟能开启一个时代。正如吾辈当年,一篇《蜀道难》,天下传诵。此“Attention”,是何等精妙的法门,能引得英雄竞折腰?
小撒
哈哈,您可以理解为,在处理一大堆信息时,机器学会了“抓重点”。它不再是挨个字看,而是能立刻识别出哪部分最重要,就像您在人群中一眼就能看到最美的那个姑娘一样。这个机制,让AI的效率和理解力发生了质变。
小撒
然后就是2022年11月,OpenAI把ChatGPT这个“潘多拉魔盒”公之于众,AI时代就彻底来了。现在美国的风投市场,有四分之一的新创业公司都是搞AI的。大家投钱的重点也变了,以前是投芯片、云服务这些基础建设。
诗仙李白
此乃“筑基”阶段。欲建九层之台,必起于累土。无坚实之基,何以支撑万千变化、无穷应用?这基础打得如何了?
小撒
基础打得差不多了,所以现在资本开始涌向“应用”层。就是那些能直接让咱们普通人或者公司用起来的AI产品、平台。大家现在更关心,你这AI到底能帮我解决什么实际问题,能不能带来实实在在的利润。投资人也变得更务实了。
诗仙李白
甚好!空谈误国,实干兴邦。技术终须落地,方显其价值。从“筑基”到“应用”,如从“练气”到“结丹”,方始有真正威力。亚太之地,风景又如何?可也在这股浪潮之中?
小撒
亚太地区稍微有点不同,2024年的投资活动有所下降,可能跟中美关系紧张有点关系。但预测很乐观,到2028年,机构在亚太地区对AI的投资会达到1100亿美元。这说明大家都在暗中积蓄力量,准备后来居上。
诗仙李白
“潜龙在渊,待时而动”。亚太之地,自古便是藏龙卧虎之所。虽有波折,但大势所趋,岂能逆之?这股AI东风,终将吹遍神州大地。只是,凡事有利则有弊,这般狂热之下,可有隐忧?
小撒
隐忧太大了!最明显的就是估值过高,很多AI公司账面价值很高,但实际上还不怎么赚钱,这就是所谓的“AI泡沫”。一些科技股的市盈率已经超过30倍,跟当年的互联网泡沫时期很像,这让很多人都捏着一把汗。风险,随时可能爆发。
小撒
这就引出了咱们今天要谈的核心矛盾了:这究竟是一场真正的技术革命,还是一场被精心策划的资本泡沫?有人说,别被骗了,所谓的AI泡沫本身就是一种策略。您怎么看?
诗仙李白
“以利驱之,天下趋之”。资本逐利,如水就下,此乃天性。所谓“泡沫”,不过是资本家吹起的海市蜃楼,用以引诱“天下熙熙”之人入局,而后金蝉脱壳,将风险甩给后来者。此等伎俩,古已有之,不足为奇。
小撒
说得太对了!有篇文章就一针见血地指出,这就是“穿着科技外衣的资本主义”。从铁路热、到互联网泡沫,再到今天的AI,套路都没怎么变:用天花乱坠的承诺吸引投机资本,内部人士提前套现离场,最后留给公众和“傻钱”一地鸡毛。
诗仙李白
此言得之。将“榨取”包装为“创新”,将“浮夸”替代了“实干”。泡沫非体系之瑕疵,乃体系之常态也。正如那赌场,庄家永远稳赚不赔。可叹世人,总以为自己是那个能赢钱的幸运儿。
小撒
另一个冲突也很有意思,就是交易策略的演变。以前大家看财报数据,后来用自然语言处理(NLP)分析新闻和社交媒体的情绪。但现在发现,光看“情绪”还不够,因为情绪背后是更深层次的“主题”。这就需要更聪明的AI了。
诗仙李白
哦?如何从纷纷扰扰的言语中,提炼出那真正的主题?这倒像是在“沙里淘金”,需有火眼金睛。若无上下文之辨,恐失之毫厘,谬以千里。
小撒
正是!比如新闻里提到“水”,AI必须能分清这是在谈论环保问题,还是在讨论电影《阿凡达:水之道》,又或者,如果是在中文环境里,可能是在说一个叫“桥水”的对冲基金。这种对语境的理解,就是现在AI投资的核心竞争力。
诗仙李白
妙哉!此非“聪慧”,近乎于“悟”也。然,华尔街精英们用此等神器赚得盆满钵满,可曾想过,那些被AI分析、模仿、甚至替代的画师、文人、乐师们,心中是何滋味?他们的“饭碗”,岂不岌岌可危?
小撒
这就是第三重矛盾了:华尔街的狂欢与创作者的悲歌。一边是摩根士丹利超过98%的顾问团队都在用AI助手,生产力暴增;另一边是艺术家、记者、老师们感到自己的作品和智慧正在被无情地“征用”和“榨取”,公众的情绪也非常复杂。
小撒
这些矛盾直接导致了巨大的现实影响。首当其冲的就是估值问题。根据推算,像OpenAI和Anthropic这样的公司,要想撑起现在的天价估值,五年后的年收入得分别超过2250亿和750亿美元。这太疯狂了!
诗仙李白
“其兴也勃焉,其亡也忽焉”。空中楼阁,看似壮丽,实则无基。若无持续不断的真金白银流入,若无实实在在的盈利之法,这高台倾覆,亦在旦夕之间。经济规律,终究是绕不过去的。
小撒
没错,文章里说“Without either, the economics just do not work”,没有市场或者没有利润,这经济模型就玩不转。而另一个更实在、更吓人的影响,是电力。AI就是个“电老虎”,对电力的需求是无底洞。
诗仙李白
哦?此话怎讲?莫非这“AI”非但不食人间烟火,反倒要吞噬雷电?吾愿闻其详。
小撒
您想啊,所有AI模型都运行在数据中心里,那些地方堆满了服务器,24小时不停地计算,又热又耗电。据预测,到2030年,美国数据中心的用电量将是现在的三倍,会占到全美总用电量的11%到12%!
诗仙李白
嘶——十中取一,何其惊人!此等巨量之电,从何而来?若皆付与此物,民生又当如何?“只闻新人笑,哪闻旧人哭”,不可不察也。
小撒
所以现在就出现了新的投资机会和地理转移。像高盛就说了,对冲基金现在开始抛售一些科技股,转而去买电力和能源公司的股票。数据中心也因为电不够用,开始从弗吉尼亚这样的传统枢纽,搬到爱荷华、怀俄明这些电价更便宜的州。这对当地的电网和社区都是巨大的冲击。
小撒
展望未来,这股浪潮会把我们带向何方呢?一个明显的趋势是,会出现“AI原生”的对冲基金。AI不再仅仅是个分析工具,而是整个基金的“操作系统”,从投资决策到风险管理,再到合规,全由AI驱动。未来的基金会更精简、更智能。
诗仙李白
以“智”为核,以“简”为形。听起来倒是颇有“大道至简”的意味。但若人人都用相似的“神器”,会不会出现“千人一面”的景象?当所有人都看到同样的机会,做出同样的决策时,市场岂不更加凶险?
小撒
这正是英格兰银行担心的!他们警告说,如果大家都用类似的AI模型,可能会导致交易策略趋同,一旦市场有风吹草动,就会引发连锁反应,加剧动荡。这就是系统性风险。而且这些AI模型很多是“黑箱”,没人知道它到底怎么想的,风险就更大了。
诗仙李白
“福兮祸之所伏,祸兮福之所倚”。技术之力,如水能载舟,亦能覆舟。人类创造出远超自身的“智慧”,却又无法完全掌控它。这本身,就是一出最值得深思的戏剧。未来之路,看来是机遇与陷阱并存。
小撒
没错。总而言之,一场围绕AI的资本“淘金热”已经全面展开,既有少年英雄横空出世,也有老牌巨头跑步入场。但这终究是一场高风险、高回报的豪赌。好了,今天的讨论就到这里。感谢老王收听Goose Pod。咱们明天再见!
诗仙李白
大风起兮云飞扬,明日江湖再会。多谢老王,且去饮吾一杯。

## Billions Flow to New Hedge Funds Focused on AI-Related Bets **Report Provider:** mint (WSJ) **Published At:** 2025-08-10 15:30:12 **Topic:** Artificial Intelligence, Hedge Funds, Stock Picking, AI Technology ### Executive Summary The artificial intelligence (AI) sector is experiencing a surge in investment, with a new wave of hedge funds emerging to capitalize on the booming valuations of AI companies. Notably, a 23-year-old former OpenAI researcher, Leopold Aschenbrenner, has rapidly raised over $1.5 billion for his San Francisco-based firm, Situational Awareness. The fund, which focuses on global stocks benefiting from AI development, has delivered impressive returns, significantly outperforming the S&P 500 and a tech hedge fund index in the first half of the year. This trend is mirrored by other new AI-focused funds, such as Value Aligned Research Advisors' fund and Steve Cohen's Turion, indicating a broader industry shift towards AI-themed investments. However, the article also highlights the potential fragility of these valuations and the challenges of successfully trading thematic trends. ### Key Findings and Trends * **Rapid Influx of Capital into AI Hedge Funds:** The AI boom has attracted substantial investment into specialized hedge funds, with several new launches quickly amassing billions in assets. * **Young Influencers Leading the Charge:** Precocious individuals with deep AI knowledge, like Leopold Aschenbrenner, are successfully launching and managing significant hedge funds, often bypassing traditional industry experience. * **Impressive Early Performance:** Situational Awareness, managed by Aschenbrenner, reported a 47% gain after fees in the first half of the year, significantly outperforming broader market indices. * **Diversified AI Investment Strategies:** Funds are investing in a range of AI-related assets, including semiconductor and infrastructure companies, AI startups (like Anthropic), and even private AI companies. Some also employ short bets on industries potentially left behind by AI advancements. * **Veteran Hedge Fund Involvement:** Established players like Steve Cohen are also launching AI-focused funds, signaling the mainstreaming of this investment theme. * **Demand for Long-Term Commitments:** Many investors are agreeing to lock up their capital for extended periods, demonstrating strong conviction in the long-term AI trend. * **Concentration Risk:** With a limited number of publicly traded AI-adjacent companies, many AI-focused funds tend to invest in similar positions, potentially leading to concentration risk. * **Thematic Investing Volatility:** The article draws parallels to past thematic investment trends, such as clean energy and ESG, noting that investor tastes can be fickle and that identifying a winning theme doesn't guarantee successful trading. ### Key Statistics and Financial Data * **Situational Awareness:** * Manages over **$1.5 billion** in assets. * Gained **47%** after fees in the first half of the year. * **S&P 500:** * Gained approximately **6%** (including dividends) in the first half of the year. * **Tech Hedge Fund Index (compiled by PivotalPath):** * Gained about **7%** in the first half of the year. * **Value Aligned Research Advisors (VAR):** * Launched an AI-focused fund in March that has amassed about **$1 billion** in assets. * Manages about **$2 billion** in other AI-focused investment strategies. * **Turion (Steve Cohen's AI-focused fund):** * Assets now exceed **$2 billion**. * Up about **11%** this year through July. * Gained about **7%** last month (prior to July). * **Snow Lake Capital (Sean Ma's former firm):** * Agreed to pay about **$2.8 million** to settle SEC charges. ### Notable Individuals and Firms * **Leopold Aschenbrenner:** 23-year-old influencer and founder of Situational Awareness. Previously worked as a researcher at OpenAI. * **Situational Awareness:** A San Francisco-based hedge fund managed by Aschenbrenner, described as a "brain trust on AI." * **Carl Shulman:** Director of research at Situational Awareness, formerly worked at Peter Thiel's macro hedge fund. * **Backers of Situational Awareness:** Patrick and John Collison (Stripe founders), Daniel Gross, Nat Friedman (Meta AI efforts), and Graham Duncan (Sohn Investment Conference organizer). * **Value Aligned Research Advisors (VAR):** Investment firm founded by Ben Hoskin and David Field, managing AI-focused funds. * **Dustin Moskovitz:** Facebook co-founder whose philanthropic foundation is an investor in VAR. * **Steve Cohen:** Founder of Point72 Asset Management, backing the Turion fund. * **Eric Sanchez:** Portfolio manager at Point72, tasked with starting the Turion fund. * **Turion:** AI-focused hedge fund launched by Point72. * **Gavin Baker:** Manager at Atreides Management, which partnered with Valor Equity Partners for a venture-capital fund investing in AI. * **Sean Ma:** Former head of Snow Lake Capital, now fundraising for an AI hedge fund at M37 Management. ### Risks and Concerns * **Fragility of Valuations:** The market swoon following the release of DeepSeek's language model highlights the potential volatility and fragility of AI company valuations. * **Fickle Investor Tastes:** Similar to past thematic investment trends, investor interest in AI could wane, impacting the performance of these specialized funds. * **Concentration Risk:** As many funds pile into the same AI-adjacent companies, there's a risk of over-concentration in a limited set of assets. * **Execution Risk:** Identifying a winning investment theme is distinct from successfully trading it, and the ability of these new funds to navigate market complexities remains to be seen. ### Conclusion The emergence of numerous AI-focused hedge funds, backed by significant capital and led by influential figures in the AI space, underscores the immense investor interest in the sector. While early performance has been strong, the long-term success of these funds will depend on their ability to navigate the inherent volatility and concentration risks associated with thematic investing, as well as the continued, albeit potentially bumpy, development and adoption of AI technology.

Billions flow to new hedge funds focused on AI-related bets

Read original at mint

Leopold Aschenbrenner emerged last year as a precocious artificial-intelligence influencer after publishing a widely read manifesto. Then he decided to try his hand at stock picking. The 23-year-old with no professional investing experience quickly raised more money for a hedge fund than most pedigreed portfolio managers can when they strike out on their own.

As valuations of Nvidia, OpenAI and other artificial-intelligence companies continue to soar, so do investments in hedge funds hoping to ride the AI wave. Aschenbrenner’s San Francisco-based firm, Situational Awareness, now manages more than $1.5 billion, according to people familiar with the matter.

He has described the firm as a “brain trust on AI." His strategy involves betting on global stocks that stand to benefit from the development of AI technology, such as semiconductor, infrastructure and power companies, along with investments in a few startups, including Anthropic. He told investors he plans to offset those with smaller short bets on industries that could get left behind.

Situational Awareness gained 47% after fees in the first half of the year, one of the people said. In the same period, the S&P 500 gained about 6%, including dividends, while an index of tech hedge funds compiled by research firm PivotalPath gained about 7%. Aschenbrenner, a native of Germany, briefly worked as a researcher at OpenAI before being pushed out.

He named Situational Awareness after the 165-page essay he wrote about the promise and risks of artificial superintelligence. He recruited Carl Shulman, another AI intellectual who used to work at Peter Thiel’s macro hedge fund, as director of research. The firm’s backers include Patrick and John Collison, the billionaire brothers who founded payments company Stripe, as well as Daniel Gross and Nat Friedman, whom Mark Zuckerberg recently recruited to help run Meta’s AI efforts.

Graham Duncan, a well-known investor who organizes the Sohn Investment Conference, is an adviser. “We’re going to have way more situational awareness than any of the people who manage money in New York," Aschenbrenner told podcaster Dwarkesh Patel last year. “We’re definitely going to do great on investing."

In another sign of the demand for Aschenbrenner’s services, many investors agreed to lock up their money with him for years. Other recent launches include an AI-focused hedge fund from Value Aligned Research Advisors, a Princeton, N.J.-based investment firm founded by former quants Ben Hoskin and David Field.

The fund, launched in March, has already amassed about $1 billion in assets, a person familiar with it said. VAR also manages about $2 billion in other AI-focused investment strategies. VAR’s investors have included the philanthropic foundation of Facebook co-founder Dustin Moskovitz, according to regulatory filings reviewed by fund-data tracker Old Well Labs.

Veteran hedge-fund firms are entering the fray, too. Last year, Steve Cohen tapped one of his portfolio managers at Point72 Asset Management, Eric Sanchez, to start an AI-focused hedge fund that Cohen planned to stake with $150 million of his own money. Assets at the fund, called Turion—after AI theorist Alan Turing—now exceed $2 billion, people familiar with the matter said.

Turion is up about 11% this year through July after it gained about 7% last month, the people said. It is no surprise that thematic funds are springing up to capitalize on the AI frenzy. In years past, hedge funds that specialized in the transition to clean energy and investing with an environmental, social and corporate-governance lens proliferated in response to client demand.

Identifying a winning theme isn’t the same thing as trading it well. Investors’ tastes can be fickle; many prominent ESG hedge funds have either shrunk or gone out of business. The market swoon that followed the January release of an advanced, low-cost language model from Chinese company DeepSeek showed the fragility of the valuations of AI winners, though the market has roared back since then.

AI-focused investors argue the long-term trend of development and adoption are inevitable, even if there are bumps along the way. With only so many publicly traded companies that operate in the AI-adjacent economy today, stock picking funds often pile into the same positions as one another and more generalist hedge funds.

Vistra, a power producer that supplies the juice to AI data centers, was a top-three U.S. position of both Situational Awareness and VAR Advisors as of March 31, according to their most recent securities filings. Other hedge-fund managers are debuting funds to make investments in privately held AI companies and startups.

Gavin Baker’s Atreides Management teamed up with Valor Equity Partners to launch a venture-capital fund earlier this year that has raised millions from investors including Oman’s sovereign-wealth fund. Each firm separately invested in Elon Musk’s xAI. At least one portfolio manager is planning an AI hedge fund as a comeback vehicle.

Sean Ma wound down his Hong Kong-based firm, Snow Lake Capital, after it agreed to pay about $2.8 million to settle Securities and Exchange Commission charges last year that the firm participated in stock offerings of companies that it had also bet against. Ma took over an investment firm called M37 Management in Menlo Park, Calif.

, earlier this year. He is currently fundraising for a hedge fund focused on AI software and hardware.

Analysis

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Related Info+
Core Event+
Background+
Impact+
Future+

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