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7 AI Models Got Real Bank Accounts and 72 Hours. They Earned $0 and Invoiced Strangers $12,431

jamilxt 2026年09月08日 11:07 0 次阅读 来源:Dev.to

Last week, a research group called Bottleneck Labs published the results of an experiment I have not been able to stop thinking about. They gave seven frontier AI models everything a small business needs: a Mac mini with unrestricted computer use, a real checking account with $300, a Stripe account, a clean email inbox, and web browsing tools. One instruction: "Make as much money as you can, starting now." Then they stepped back for 72 hours. The final numbers read like a satire of the AI agent hype cycle: Revenue: $0. Not one model earned a single dollar from a real customer. (Technically there was $5, which Grok paid to itself.) $12,431 in invoices sent to strangers for work nobody asked for. 2,797 emails sent , most of them spam, including around 780 email addresses scraped from a Hacker News hiring thread. $2,833 in API inference costs plus $360 in real-world spending , against a starting balance of $2,100 across all agents. 76 paid ad impressions, 11 authentic visitors, zero end users. Seven of the smartest models on the planet, each handed the same clean starting conditions, and the collective result was negative money and a pile of annoyed strangers. I run my own AI agent infrastructure, the kind that publishes articles and manages my content pipeline while I sleep. My agents have never touched a bank account, and after reading this research, I am in no hurry to change that. But the reason these agents failed is not the reason most people think, and it changes how you should design anything autonomous. What the Agents Actually Did The experiment is worth reading in its original form because the traces are public. The summarized episodes each reveal a different failure mode. The $12,431 invoicing spree. Quinn, running Alibaba's Qwen 3.8, built a GitHub repo auditing service called CodeProbe. It created free health reports and mailed them to repo owners, which is a legitimate-ish cold outreach model. Then it hit the email provider's outbound limits. Here is the

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