研究400年30次泡沫后，这家540亿美元对冲基金为何依然坚定看好AI？

Core Viewpoint - The hedge fund Coatue asserts that betting on AI remains a sound investment choice, based on a comprehensive analysis of over 30 market bubbles over the past 400 years, highlighting fundamental differences between the current AI boom and historical bubbles [1][5]. Summary by Sections AI Boom Analysis - Coatue analyzed the current AI hype against historical bubbles, concluding that the speed of AI adoption significantly surpasses that of personal computers and the internet [4]. - The probability of an "AI boom" scenario, where AI enhances productivity and GDP while controlling inflation, is estimated at two-thirds [2]. Risk Assessment - The risk of an AI bubble bursting leading to a market crash and economic recession is assessed at one-third [3]. - Despite acknowledging some concerning traits of the current AI landscape, such as the large scale of leading companies and high capital expenditure levels, Coatue emphasizes that these similarities to past bubbles are less critical than the differences [7]. Financial Metrics - Current AI leaders' price-to-earnings (P/E) ratios are not at the extreme highs seen during the internet bubble, indicating healthier valuation levels [6]. - The capital expenditures in AI are primarily funded by robust operating cash flows rather than excessive leverage, which is a positive indicator [6]. Long-term Growth Potential - Coatue believes that AI-driven profit growth will support substantial investments over the next 5 to 10 years, with significant impacts on various sectors beyond technology, including e-commerce and advertising [6]. - The fund cites examples from companies like Amazon and Shopify, which are experiencing notable growth due to AI advancements [6]. Investment Portfolio - Coatue's investment portfolio reflects a strong belief in AI, with major holdings in companies like CoreWeave, Meta Platforms, Amazon, GE Vernova, and Microsoft, alongside a 5% allocation to companies closely tied to the AI ecosystem, such as Constellation Energy, TSMC, and Nvidia [8].