AI Panic: The $750B Spending Gamble & Who Benefits From a Slowdown?

Who pays if the AI investment boom falls short—and who benefits if development slows down? Jim Love examines the money, motives and economic assumptions in this special AI Panic edition of Hashtag Trending. MIT Technology Review explores the risks behind roughly $750 billion in expected spending by the biggest cloud companies. We examine debt financing, competition from cheaper models such as DeepSeek, recurring chip replacement costs, and potential exposure for pension funds, life insurance investments and electricity customers. Business Insider questions the conveniently timed calls for an AI slowdown. Could safety regulations also protect established companies from competition? We discuss OpenAI ruling out a 2026 IPO, Anthropic's continuing listing plans, and the publicity surrounding researcher Jacob Coxon's resignation. Finally, we examine Anthropic's economic scenarios—including an extreme case in which US GDP reaches roughly 32% above its no-AI baseline by 2030. That is a scenario, not a prediction, and it comes with substantial unemployment, difficult retraining questions and significant gaps in what the model covers. CHAPTERS 00:00 AI Panic Edition: Headlines 00:42 The $750B AI Data Centre Gamble 03:32 AI Debt Risks: Dot-Com Bust or Another 2008? 05:24 Who Benefits From an AI Slowdown? 07:24 Jacob Coxon's Resignation and Safety Lobbying 09:23 Anthropic's 2030 GDP and Jobs Scenarios 11:46 Wrap-Up and How to Reach Us Can AI deliver real economic gains while its biggest investors lose money? And can safety concerns be sincere while also serving corporate interests? Share your thoughts in the comments. Subscribe to Hashtag Trending for technology news with Jim Love. Contact us through technewsday.ca or technewsday.com.