The AI bubble question finally got answered by the man who\u2019s helped fuel the frenzy\u2014and his response suggests investors worried about a 2000-style crash might be missing a fundamental shift that\u2019s already reshaping how the world computes.<\/p>\n
Nvidia Corp. (NASDAQ:<\/a>NVDA<\/a>) CEO Jensen Huang<\/strong> addressed<\/a> speculation about an AI bubble during a panel at the 2025 U.S.-Saudi Investment Forum last week, delivering a three-minute answer that focused less on market valuations and more on irreversible technological transformations already backed by trillions in global capital.<\/p>\n Don’t Miss:<\/strong><\/p>\n Huang\u2019s argument starts with a hard constraint in computer science: Moore\u2019s Law, the decades-long trend of doubling transistor density every two years, has plateaued. This isn\u2019t a temporary slowdown\u2014it\u2019s a structural problem creating a widening gap between exploding demand for computing power and the industry\u2019s ability to supply it through traditional chips.<\/p>\n \u201cThis isn\u2019t speculation\u2014it\u2019s a fundamental challenge driving the need for new computing paradigms,\u201d Huang said.<\/p>\n That gap explains why companies aren\u2019t just experimenting with AI infrastructure<\/a>\u2014they\u2019re committing massive capital expenditures to it out of necessity, not hype.<\/p>\n Trending: Wall Street’s $12B Real Estate Manager Is Opening Its Doors to Individual Investors \u2014 Without the Crowdfunding Middlemen<\/strong><\/a><\/strong><\/p>\n \u201cThe world is voting with real capex,\u201d Huang said, describing how industries are pouring investment into GPUs because traditional CPUs simply can\u2019t handle AI training costs efficiently\u2014a shift that would otherwise require trillions in annual spending.<\/p>\n This isn\u2019t a bet on future technology. It\u2019s a present-day reallocation of computing resources already underway across finance, healthcare, research, and manufacturing.<\/p>\n Huang outlined three distinct computing revolutions that build on each other, with AI sitting atop two already-established layers.<\/p>\n