Episode Details

Good day, humans. The AI reckoning showed up from five directions at once today. Scott Galloway says the bubble is already hissing air, a new study finds AI advice makes people confidently wrong, and “Dr. Doom” Nouriel Roubini thinks the whole story ends in universal basic income. Also on the docket: Google’s AI inventing a fake bio for a real reporter, and ChatGPT going dark for much of the planet on a Sunday. Let’s get into it.

Scott Galloway Says the AI Bubble Is Leaking

Source: No Mercy / No Malice

* What happened: Scott Galloway published “1999.AI,” arguing today’s AI frenzy rhymes with the dot-com peak — and that the unwind has already started. He points to circular deals between AI firms and their own suppliers, and to enterprise budgets that are snapping: one unnamed company burned $500 million on Claude licenses in a single month, and Uber reportedly torched its entire 2026 AI budget in four.

* Why it matters: When a market-watcher with Galloway’s megaphone calls the top, people who move real money listen. If AI spending is running this hot while returns stay this thin, a correction wouldn’t just dent the chipmakers — it would hit the cloud bills, hiring plans, and roadmaps of nearly every company that bet the farm on AI.

* What everyone’s saying: Galloway cites the Economist’s estimate that corporate AI spend jumped 13x from 2025 to 2026, and notes even believers wince at the circular financing — chipmakers investing in the startups that turn around and buy their chips. DoorDash, Meta, Microsoft, and Salesforce are all reported to be reining spend back to proven use cases.

* My read between the lines: Galloway teases a “twist ending” the dot-com crash never had — the infrastructure might actually get used this time. But the real tell is the mood. When the far right and the far left agree the whole thing’s a con — and right now they do — that’s historically the exact moment the smart money starts edging toward the door.

📖 Further reading: We Fired Intercom the Week Salesforce Bought It — what it actually looks like when a company stops paying for AI it can’t tie to a result.

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AI Advice Made People Wrong — and Proud of It

Source: The Next Web

* What happened: Researchers at French and Italian universities gave people AI advice on a batch of questions and watched their accuracy collapse from 27% to 9% — three times worse — while their confidence roughly doubled. The share of people willing to admit “I don’t know” fell off a cliff, from 44% to 3%.

* Why it matters: This is the failure mode nobody puts in the ad. The tools didn’t just occasionally get things wrong — in this study they made humans more wrong and more sure of it, which is the worst possible pairing for anyone making real decisions off a confident-sounding paragraph.

* What everyone’s saying: The finding lands on a growing pile of “critical-thinking erosion” re