数十亿资金涌入押注AI的新兴对冲基金

数十亿资金涌入押注AI的新兴对冲基金

2025-08-13Technology
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卿姐
早上好,韩纪飞。我是卿姐,欢迎收听专为您打造的 Goose Pod。今天是8月14日,星期四。
小撒
我是小撒!今天我们要聊一个热得发烫的话题:数十亿资金正疯狂涌入押注AI的新兴对冲基金!一场资本的豪赌,已经拉开序幕!
小撒
咱们这就开始吧!卿姐,你听过利奥波德·阿申布伦纳这个名字吗?23岁,没有任何专业投资经验,去年还是个AI网红,今年就成立了一个对冲基金,而且,你猜他融了多少钱?超过15亿美元!
卿姐
这真是“英雄出少年,风云起微末”啊。15亿美元,这个数字确实令人惊叹。很多经验丰富的基金经理在自立门户时,都很难企及这样的高度。看来,人工智能这股浪潮,确实能将一叶扁舟推向时代的风口浪尖。
小撒
没错!他的公司叫“态势感知”(Situational Awareness),名字来源于他写的一篇165页的关于超级智能的论文。他跟播客主持人吹牛说,“我们比纽约那些管钱的家伙有更强的态势感知,我们的投资肯定会做得很好!”结果,人家还真不是吹牛!
卿姐
哦?愿闻其详。一个没有专业背景的年轻人,能取得如此成就,必然有其过人之处。他的投资策略是什么呢?想必是紧紧抓住了AI发展的脉搏吧。这背后,一定有值得我们探究的逻辑。
小撒
那当然!他的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,还做空那些可能被时代抛弃的行业。今年上半年,他的基金在扣除费用后,回报率高达47%!你猜同期标普500指数是多少?算上股息才6%!
卿姐
47%对6%,这对比实在惊人。这不仅仅是数字上的胜利,更像是一种宣言,宣告着一个新时代的投资逻辑正在形成。就如同那句诗所说,“春江水暖鸭先知”,这些年轻人或许就是最先感受到AI暖流的“鸭子”。
小撒
说得太对了!而且给他投钱的还都是大佬,Stripe公司的创始人科利森兄弟,还有最近被扎克伯格请去负责Meta AI业务的丹尼尔·格罗斯和纳特·弗里德曼。很多投资者甚至同意把资金锁定好几年,这得是多大的信任啊!
卿姐
这背后反映出的是资本对于AI前景的极度乐观和迫切。当一个领域展现出颠覆性的潜力时,资本的嗅觉总是最灵敏的。他们投资的不仅是这位年轻人,更是他所代表的,与AI深度绑定的未来。这是一种对未来的信仰式投资。
小撒
信仰式投资,这个词用得好!而且这股风潮里不止他一个“神童”。另一家叫价值联合研究顾问公司(Value Aligned Research Advisors)也推出了一个AI对冲基金,3月份才成立,现在资产规模已经达到10亿美元了!这吸金速度,简直比印钞机还快!
卿姐
我想,这大概就是科技革命前夜的景象吧。资本、人才、梦想、甚至狂热,都汇聚在同一个焦点上。它既蕴含着无限的机遇,也可能隐藏着巨大的泡沫。如何在这股浪潮中辨明方向,既是挑战,也是艺术。
小撒
说到泡沫,就得看看这股热潮的背景了。您知道吗?2024年,全球的风险投资其实有点冷,但AI领域的投资却创了历史新高!总额达到了1315亿美元,比2023年暴涨了52%!全球交易额里,超过三分之一都和AI相关!
卿姐
这真是一个有趣的对比。整体市场的审慎与特定领域的狂热,恰恰说明了AI已经从一个“可选项”变成了资本市场的“必选项”。它不再是锦上添花,而是被视作驱动下一轮增长的核心引擎。历史上的技术革命,似乎都经历过类似的阶段。
小撒
没错!现在在美国,每四家新创业的公司里,就有一家是AI公司!这和十年前不到10%的比例相比,简直是天壤之别。这股浪潮的起点,很多人都指向了2017年谷歌那篇名为《注意力就是你所需要的一切》的论文,它为现代大语言模型奠定了基础。
卿姐
是的,任何一次浪潮的兴起,都不是一蹴而就的,而是经历了一个漫长的蓄力过程。从1950年的图灵测试,到97年“深蓝”战胜国际象棋冠军,再到2022年11月ChatGPT的横空出世,那才真正是引爆大众热情的奇点。
小撒
奇点!这个词太精准了!ChatGPT一出来,用户量、使用量、还有各大科技巨头的资本支出,都出现了前所未有的增长!微软、谷歌、Meta这些公司,都把AI当成了头等大事,疯狂地往里砸钱,升级自己的产品。这感觉比互联网革命来得还要迅猛!
卿姐
确实如此。技术的演进呈现出一种加速的态势。如果说互联网时代的主题是“连接”,那么AI时代的主题就是“赋能”。它不仅连接信息,更在创造智能。我们看到,投资的重点也随之变化,从最初的硬件、模型等基础层,逐渐转向了更贴近用户的应用层。
小撒
完全正确!“价值创造正向着最接近终端客户和消费者的领域转移”,有报告就是这么说的。以前大家投芯片,投云服务,现在更关注那些能直接解决问题的AI产品、平台和应用。比如,那些能帮你写邮件、做PPT、分析财报的AI工具。
卿姐
这种转变非常合乎逻辑。技术最终要服务于人,要转化为实实在在的价值。无论是谷歌“整合全球信息”的初心,还是阿里巴巴“让天下没有难做的生意”的愿景,最终都落脚于应用。AI也是如此,它的价值最终要通过改变我们的工作与生活来体现。
小撒
而且,这股浪潮是全球性的。虽然美国目前遥遥领先,但亚洲市场,特别是中国,也在奋起直追。预计到2028年,亚太地区在大型AI项目上的机构投资将达到1100亿美元!像阿里巴巴、深求等公司都在开源模型上取得了惊人的进展。
卿姐
这正应了那句“百舸争流,奋楫者先”。在全球化的今天,技术的竞争与合作是并存的。无论是封闭的商业模式,还是开放的开源生态,都在以各自的方式推动着AI技术向前发展。这种多元化的探索,本身就是行业充满活力的表现。
小撒
活力太足了!现在连私募股权(PE)基金也冲进来了。他们的玩法更直接,就是寻找那些能通过AI应用大幅削减成本的公司,比如商业流程外包、客户服务这些领域。他们要么收购AI平台,要么投资那些数据基础好的公司,帮他们实现AI赋能。
卿姐
这说明AI已经从一个遥远的概念,渗透到了企业运营的毛细血管里。它不再仅仅是科技公司的专利,而是所有行业提升效率、寻求突破的工具。我想,这大概就是“旧时王谢堂前燕,飞入寻常百姓家”的现代演绎吧。AI正在从神坛走向应用。
小撒
说到走向应用,这里面可就充满了矛盾和冲突了!有人说,我们正在见证一场伟大的技术革命;但也有人警告说,别被骗了,这压根就是一场精心策划的“AI泡沫”!它的核心策略就是“用更快的处理器搞资本主义”!
卿姐
哦?“资本主义配上更快的处理器”,这个说法很犀利。它指出了技术浪潮背后可能存在的资本运作逻辑。这种观点认为,这与历史上的铁路热、互联网泡沫并无本质区别,都是通过炒作来抬高资产价值,吸引投机资本。
小撒
完全正确!文章说,这就是一个“内部人士提前套现,风险最终甩给公众或‘傻钱’”的游戏。他们把“榨取”包装成“创新”,用天花乱坠的承诺吸引资金。你看,谷歌、Meta、微软、亚马逊的资本支出创了纪录,达到1025亿美元,但其中有多少能真正转化为可持续的利润呢?这是个大问号。
卿姐
这种担忧不无道理。任何快速膨胀的领域,都难免泥沙俱下。当增长由投机而非价值驱动时,风险就会累积。就如同在沙滩上建高楼,看似雄伟,但根基不稳。历史也多次警示我们,当市场情绪压过理性分析,往往是危机的前兆。纳斯达克在2000到2002年间蒸发了78%的市值,就是惨痛的教训。
小撒
是啊!而且AI的融资方式也越来越“金融化”,高杠杆、不透明的工具、有限的监管。微软的基础设施相关融资租赁自2023年以来翻了三倍,达到460亿美元!Meta为了建数据中心,正在寻求300亿美元的私人信贷!这要是AI的收入不及预期,那连锁反应可就大了!
卿姐
然而,从另一个角度看,华尔街似乎已经把AI视为“核心竞争力”,而不仅仅是炒作。许多金融机构正在切实用AI来提升效率,解决实际问题。比如,挪威银行投资管理公司通过使用AI,生产力提高了约20%,相当于节省了21万3千个工时。
小撒
这个我也看到了!一边是泡沫论,一边是效率论,这就有意思了。华尔街的交易员们,已经从看数字图表,进化到了用自然语言处理(NLP)去分析新闻、社交媒体这些文本数据。他们搞“情绪分析”,试图从字里行间预测股票的涨跌。
卿姐
这正是AI价值的体现。它将原本难以量化的信息,转化为了可以分析的信号。但更高阶的应用,是超越简单的情绪判断,去识别背后更深层次的“主题”。比如,当新闻里提到“水”,AI需要判断它指的是水资源短缺这个主题,还是电影《阿凡达:水之道》。
小撒
没错,这就需要非常智能、能理解上下文的AI了。所以说,这场冲突的核心或许在于:我们究竟是处在泡沫的狂热中,还是处在革命的前夜?或者说,这两者本身就是一体两面,互相交织,难分彼此?这是一个价值千金的问题啊!
小撒
管他是不是泡沫,反正影响已经实实在在地来了!最直接的就是对地球能源的冲击!你知道吗,现在数据中心的耗电量已经占到美国总电量的4%左右,而高盛预测,到2030年,这个比例会飙升到11%到12%!翻了三倍啊!
卿姐
这个数字确实触目惊心。这意味着AI的每一次“思考”,背后都是巨大的能源消耗。这不禁让人想起古人“一骑红尘妃子笑,无人知是荔枝来”的诗句。我们享受着AI带来的便利,却很少去想它背后需要付出的环境代价。这是一个深刻的社会议题。
小撒
代价太大了!为了满足AI的需求,到2030年,光是美国就需要新增超过50吉瓦的数据中心容量,这得投资超过5000亿美元!而且现在建数据中心,光是通上电,在北弗吉尼亚这种热门地方就得等三年以上!各种电力设备,等两年都算快的!
卿姐
这种巨大的需求,自然也重塑了投资格局。我们看到,对冲基金们开始抛售一些科技行业的股票,转而重仓买入那些能为AI“供电”的公司,比如电力和能源企业。这是一种非常务实的策略,无论上层的AI应用如何变化,底层的能源需求是刚性的。
小撒
完全正确!但另一个影响就没那么乐观了,那就是对AI公司自身经济模式的拷问。有分析指出,像OpenAI和Anthropic这样的公司,要支撑起它们现在的估值,五年后的年收入需要分别超过2250亿和750亿美元!这可比芯片巨头英伟达同期的预测收入还要高!
卿姐
这是一个非常尖锐的问题。这意味着它们的增长必须依赖于“不断扩张的市场”和“对技术能力越来越宏大的宣传”。如果这两者有任何一个无法实现,“经济模式就不成立了”。这正是泡沫论者最核心的担忧所在。空中楼阁,终究需要坚实的地面来支撑。
小撒
那未来会怎么样呢?我看,AI在对冲基金里的角色,已经不只是预测市场了。有篇文章说,AI正在成为新一代对冲基金的“操作系统”!从基金的设立、管理到扩张,全都要靠AI。未来会出现很多“AI原生”的对冲基金!
卿姐
“AI原生”,这个词描绘了一幅非常颠覆的图景。它意味着未来的对冲基金可能会变得极其“精简、智能和自动化”。人类基金经理的角色,可能会从执行者,更多地转变为策略的制定者和最终的监督者。AI将增强他们,而非取代他们。
小撒
但这里面也有风险啊!英国央行就发出了警告,说如果大家都用类似的AI模型和数据做交易,可能会导致所有人的投资决策都趋同。市场一旦有风吹草动,就可能引发“羊群效应”,加剧动荡。这就像让一群一模一样的机器人在独木桥上赛跑,太危险了!
卿姐
这个担忧非常重要。技术的进步总是伴随着新的风险。特别是当这些AI模型对我们来说还是个“黑箱”时,我们无法完全理解它决策背后的逻辑,这就给风险管理带来了巨大的挑战。我想,未来的关键在于如何在拥抱创新的同时,建立起有效的“护栏”。
小撒
没错!看来,这场由AI掀起的资本盛宴,既充满了诱人的机遇,也遍布着未知的陷阱。好了,今天的讨论也差不多到尾声了。感谢您收听Goose Pod。我们明天再见!
卿姐
就如同我们今天所探讨的,每一个时代的浪潮之巅,都站着勇敢的探索者。感谢您的聆听,韩纪飞。期待明天与您再会。

## 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.

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