After studying 30 bubbles over 400 years, why does this $54 billion hedge fund still firmly believe in AI?

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As warnings about an artificial intelligence bubble grow increasingly loud, hedge fund giant Coatue Management, which manages $54 billion in assets, has come to a more confident conclusion after an in-depth study of the last 400 years of market bubbles: betting on AI is still the right choice.

According to a MarketWatch report on the 27th, in an October 16th speech, Coatue, led by Philippe Laffont, disclosed its research findings. The company systematically analyzed over 30 bubble events across 400 years and classified them based on more than 30 dimensions, including adoption rates, leverage levels, and market concentration.

Although acknowledging that the current AI boom has some troubling characteristics, Coatue clearly rejects the bubble thesis. The fund believes that the long-term fundamentals for AI remain robust and are enough to support its investment logic. Based on this view, Coatue offers two scenarios: The first is the "AI prosperity" scenario, in which AI successfully boosts productivity and GDP, inflation remains under control, and tech stocks continue to lead the market—a scenario Coatue sees as having a two-thirds probability.

By contrast, Coatue believes there is only a one-third risk of an AI bubble burst leading to a stock market crash and economic recession.

Historical Comparison: How Is AI Development Different from Past Bubbles?

Coatue's core argument is that current AI development fundamentally differs from historical speculative bubbles in key indicators. First, in terms of adoption speed, AI has spread far more rapidly since its emergence than personal computers (PCs) or the internet did.

Second, even though capital expenditures are large and growing, the funding mainly comes from healthy operating cash flow, rather than excessive reliance on leverage. In terms of valuation, today's AI leaders' price-to-earnings (P/E) ratios are still far from the feverish highs of the internet bubble era. Coatue also points out that market concentration in itself is not necessarily a negative indicator. Taking cloud computing as an example, they note that such disruptive technologies often take years before their return on invested capital (ROIC) turns positive, and AI may follow a similar path.

Coatue believes that AI's real impact is difficult to fully quantify, which is also one reason its value is easily underestimated. Some effects are direct, such as companies cutting labor costs with AI; but other impacts are harder to measure, like increases in employee productivity. The fund believes that over the next 5 to 10 years, AI-driven profit growth will be sufficient to support today's massive investments.

The report also cites earnings calls from Amazon and Shopify, noting that the AI boom is significantly driving growth in sectors like e-commerce and advertising. Its impact has already spread beyond the tech industry itself—companies in various fields such as trucking firm C.H. Robinson and fintech company Rocket Cos. are also touting business advantages brought about by AI.

Investment Portfolio Reflects AI Conviction

Before reaching a bullish conclusion, Coatue did not shy away from the risk signals appearing in the AI boom. The fund acknowledges several key issues in its document, including the "oversized" scale of leading AI companies, capital expenditures that exceed those seen during the internet bubble, and a slowdown in AI adoption rates.

Moreover, the fund has also noticed signs of decelerating data center growth and some questions raised by financing models among industry suppliers. These factors are similar to some features of past bubbles and are a primary source of current market concerns. However, Coatue believes that compared to these similarities, the key differences between the current AI boom and historical bubbles are more important.

Although the presentation did not reveal Coatue's specific current portfolio adjustments, its public holdings data already clearly reflect its strong belief in AI.

According to the fund's 13-F filing for the second quarter, its investment portfolio shows a distinct AI tilt. Its main core holdings include cloud service provider CoreWeave, Meta Platforms, Amazon, GE Vernova, and Microsoft. In addition, the fund has allocated 5% of its portfolio to companies closely linked to the AI ecosystem, including energy supplier Constellation Energy, chipmaker TSMC, and Nvidia.

Risk Warning and DisclaimerThe market carries risks, and investments need to be made cautiously. This article does not constitute personal investment advice, nor does it take into account the special investment goals, financial status, or needs of any particular user. Users should consider whether any opinions, views, or conclusions in this article are suitable to their specific circumstances. Investments made accordingly are at your own responsibility. ```