The world is on the cusp of a monumental economic shift, driven by the rapid advancement of artificial intelligence. This transformative technology is poised to create unprecedented opportunities, with some experts predicting the emergence of the first $10 trillion company within the next decade.
Philippe Laffont, the billionaire founder and portfolio manager of Coatue Management has framed AI as the defining economic shift of the coming decades. He argues that we are entering the Intelligence Age following the Industrial Age and the Information Age. Laffont believes that AI will become a utility accessible for as little as $50-100 per month, revolutionizing industries and economies worldwide.
AI’s Impact on Global GDP
Laffont estimates that AI could boost global GDP growth by 1-1.5% annually over the next 10 to 20 years. This projected acceleration would be significant, especially considering that U.S. real GDP grew at a 1.6% annualized rate in Q1 of 2026. The potential expansion of world market capitalization from roughly $120 trillion to $200 trillion underscores the immense economic impact of AI.
The $10 Trillion Question
Laffont poses a compelling question: Is there going to be a $10 trillion company in 10 to 15 years? He finds this question easier to answer than predicting the future of bitcoin. Laffont views AI as the fifth great idea of his career, following internet stocks, mobile internet, and Apple.
Key Players in the AI Revolution
NVIDIA: The Front Runner
NVIDIA stands out as the clearest current candidate for achieving a $10 trillion market cap, with its market cap already near $5.1 trillion. Laffont considers NVIDIA’s valuation of 13-14 times forward 2027 earnings to be quite attractive. NVIDIA’s Q1 FY27 revenue of $81.61 billion, up 85.2% year over year, highlights its rapid growth. CEO Jensen Huang described the buildout of AI factories as the largest infrastructure expansion in human history.
Amazon and Alphabet: The Capex Customers
Amazon and Alphabet with market values of roughly $2.53 trillion and $2.03 trillion respectively, are heavily investing in AI infrastructure. Amazon Web Services (AWS) grew 28% in Q1 2026, its fastest pace in 15 quarters. Google Cloud revenue rose 63%, with backlog nearly doubling quarter-on-quarter to over $460 billion. These investments underscore the critical role of AI in the future of these tech giants.
ASML: The Picks-and-Shovels Bet
ASML the sole producer of EUV and High NA lithography systems, is a key supplier to advanced chipmakers. Laffont notes that investing in ASML allows investors to benefit from the AI boom without betting on a specific chipmaker. ASML shares have seen significant gains, with an 80.97% increase year to date and a 157.03% increase over one year. CEO Christophe Fouquet highlighted the strong demand for chips, outpacing supply.
Infrastructure Challenges and Investment Opportunities
Laffont’s thesis hinges on whether the physical infrastructure needed to support AI can be built fast enough. The buildout of AI data centers requires enormous amounts of electricity, land, transmission infrastructure, and specialized equipment. This creates several potential bottlenecks between today’s AI boom and a future $10 trillion company.
Laffont estimates that the buildout could require more than 100 gigawatts of new power capacity. The U.S. Energy Information Administration projects that data center electricity consumption could reach 818 billion kilowatt-hours by 2050 under its High Electricity Demand scenario. For investors, key indicators to watch include hyperscaler capital spending plans, demand trends for semiconductor equipment, and the pace of new power projects connecting to the grid.
