Trillions of dollars are flowing into artificial intelligence infrastructure. Data centers consume more power than small cities. Nvidia posts record revenue. OpenAI raises at $300 billion. The believers say this is the foundation of a technological revolution. The skeptics say it's the biggest speculative bubble since dot-com. This episode doesn't answer who's right—instead, it takes you inside the perspectives of everyone making the bet and everyone exposed to it: a data center technician walking the floor at 5:47 AM listening to the hum of a billion dollars in equipment, Jensen Huang explaining why "the more you buy, the more you save," Sam Altman pitching sovereign wealth funds on a $1.4 trillion infrastructure commitment, a Fortune 500 CTO staring at a blank slide unable to quantify ROI after $43 million in AI spending, a software developer who learned he's 19% slower with AI tools but still feels faster, a pension fund manager watching retirement accounts concentrate in seven   stocks, and a teacher in Ohio who has no idea her savings are betting on artificial intelligence. Research was conducted using a multi-model AI pipeline—Claude Opus for primary synthesis, Gemini Pro for structural enhancement, OpenAI o1 Pro for logical review, Grok for real-time intelligence—with human editorial direction at every stage. Characters like Marcus Chen and Catherine Okonkwo are composite figures clearly identified as dramatized representations of real roles, built from SEC filings, earnings calls, the Bank of England Financial Stability Report, and peer-reviewed research including the METR developer productivity study. Narrated using Speechify text-to-speech. For complete source citations and the full multi-perspective analysis, visit PorterNews.com (story ID: AI-2026-001).