The AI bubble debate: 13 business leaders from Sam Altman to Bill Gates to Mark Cuban weigh in (www.businessinsider.com)

A high-profile rift has opened among 13 business and tech leaders over whether today’s AI boom is a speculative bubble. OpenAI CEO Sam Altman and figures like Bill Gates, Bret Taylor, Jeff Bezos, Pat Gelsinger and Tom Siebel warn that investor exuberance has outpaced economics and that many companies or projects will fail. By contrast Nvidia’s Jensen Huang, AMD’s Lisa Su, Eric Schmidt and Mark Cuban argue this is a structural shift — from general-purpose to accelerated computing — driven by genuinely valuable generative models and huge, sustained demand for compute. Mark Zuckerberg hedges that a collapse would require slowing technical progress, while others (Joe Tsai, Ray Dalio) flag risks from overbuilding data centers and frothy valuations. For the AI/ML community the debate matters because it shapes capital, product strategy and infrastructure planning. Technical and business implications include massive chip and data-center capex (Nvidia’s surging market value underscores this), the risk of “model-skin” or low-value startups proliferating, and pressure on unit economics (electricity, utilization). Several leaders predict a multi-year cycle even if a bubble exists, meaning continued investment in accelerators, model development and services — but with an expectation that many players will be weeded out and winners will capture most long-term value.