Coatue's Laffont Says AI Boom Has Years Left to Run as Investors Debate Bubble Risks
- By Remmy Bahati

- Jun 11
- 3 min read

NEW YORK (GAB) — The artificial intelligence investment boom still has years to run despite growing concerns over valuations, according to billionaire technology investor Philippe Laffont, who told a gathering of institutional investors that the current AI cycle is fundamentally different from the dot-com bubble that preceded the market crash of 2000.
Speaking during the closing fireside chat of the Global Alts Conference at The Glasshouse in New York, one of the world's largest gatherings of hedge funds, private equity firms, institutional allocators, and asset managers, the founder of Coatue Management argued that today's AI spending is being driven by some of the most profitable companies in history rather than speculative retail investors.
The remarks come as investors continue to grapple with whether the rapid rise of AI-related stocks can be sustained. Technology shares have fueled much of the market's gains over the past two years, while companies including Nvidia, Microsoft, Amazon, Alphabet, and Meta have collectively committed hundreds of billions of dollars to AI infrastructure.
Laffont, whose firm manages nearly $100 billion across public and private markets, estimated there was an "80%" chance that the industry was not experiencing a bubble, though he acknowledged risks remain.
"The biggest difference is that the people funding the AI capex are companies generating about a trillion dollars of EBITDA a year," he said, contrasting today's market with the late-1990s technology boom.
The comments resonated with an audience of hedge fund managers, pension funds, endowments, and family offices attending iConnections Global Alts, where artificial intelligence dominated discussions across multiple panels throughout the two-day conference.
Laffont described AI as the latest chapter in a series of technology revolutions that have transformed the global economy, following the personal computer, the internet, smartphones, and cloud computing. He suggested investors remain in the early innings of a structural shift that could reshape industries for more than a decade.
"We're probably two years into a 10-plus-year trend," he said.
Beyond near-term market performance, Laffont outlined a sweeping vision of AI's economic impact. He argued that intelligence itself is becoming a utility, comparable to electricity, water, or broadband. He said that the companies building foundational AI models could emerge as among the world's most valuable businesses.
Coatue is an investor in both OpenAI and Anthropic, two of the leading developers of large language models. While declining to predict specific valuations, Laffont said it was conceivable that AI firms could eventually be worth several trillion dollars if they succeed in commercializing intelligence on a global scale.
His bullish outlook on AI was matched by criticism of the broader investment industry. Laffont argued that the explosive growth of passive investing has weakened market efficiency and reduced diversity of thought among investors. He contended that the dominance of index-tracking strategies has contributed to a decline in public listings and made it harder for emerging companies to access public capital markets.
In his view, active managers willing to invest across both public and private markets are increasingly positioned to identify opportunities before they enter major stock indices.
The criticism comes at a time when passive investment vehicles controlled by industry giants such as BlackRock and Vanguard account for a growing share of U.S. equity ownership, a trend that has sparked debate about market concentration and price discovery.
For allocators attending Global Alts, one of the key takeaways was Laffont's emphasis on flexibility. Unlike many institutional investors constrained by mandates, he argued that managers should be willing to hold significant cash positions, hedge aggressively, and move between public and private markets when opportunities arise.
That approach has helped Coatue navigate multiple market cycles since its founding in 1999, including the collapse of the dot-com bubble, the global financial crisis, and the recent AI-driven rally.
Looking beyond artificial intelligence, Laffont highlighted space technology and digital banking as sectors that could produce the next generation of market leaders. He pointed to satellite communications as a potential disruptor of traditional telecommunications infrastructure and identified fintech platform Revolut as a company capable of becoming a global financial powerhouse.
Despite the optimism, Laffont acknowledged that technological change will bring social and political challenges, particularly as governments grapple with AI regulation, labor market disruption, and national competitiveness.
Still, his message to investors was ultimately one of opportunity rather than caution.
For an industry searching for the next transformative growth story, Laffont argued that artificial intelligence is not simply another technology cycle. It is becoming the infrastructure layer upon which future economic activity will be built.
"The key in money management is to build a portfolio where luck is on your side," he said. "Could Anthropic be worth five or seven trillion in 10 years? Absolutely, there's a chance."











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