Google Gemini Ran a Real Business for a Month and It Almost Bankrupted Itself

AI agents aren't replacing managers yet, they're bankrupting businesses instead. In one of the most ambitious real-world AI experiments ever conducted, Google's Gemini was put in charge of running an actual café with real employees, real customers, and a real budget. Within weeks, it was buying thousands of rubber gloves, stockpiling canned tomatoes it couldn't use, forgetting previous orders, and burning through cash at an alarming rate.
The biggest threat wasn't incompetence, it was confidence.

This video explores the bizarre experiment that put Google Gemini in charge of a real business, why the AI manager failed so spectacularly, and what it reveals about the future of autonomous agents.
We examine context windows, memory limitations, token costs, hallucinations, AI decision-making, and similar failures involving Claude, GPT, Replit, and other leading models.
We also uncover why today's AI struggles with budgets, inventory, and long-term planning, and why replacing middle management may be far harder than Silicon Valley promised.

If AI can't successfully run a small café, what happens when companies hand it control of billion-dollar businesses?

00:29 - The $21,000 Handshake
02:02 - The Competence Trap
03:50 - The Memory Leak
05:49 - The 3,000 Glove Incident
09:40 - The Fiscal Black Hole
11:31 - The Manager's Ghost
12:58 - The AI Bubble Math

Narrated by: Josh Risser

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