AI Use-Case Library Launches: 159 Deployments, 6 Failures, Real Receipts
Ford rehired 350 inspectors; a robotaxi drowned—real AI failures revealed.
The AI Use-Case Library is a free, searchable database of 159 documented AI deployments across 21 industries, with reported outcomes on 77 of them. Success stories include OpenAI's Codex agent used by 97.9% of employees, the NHS cutting lung-cancer analysis from eight days to four, and Momenta's assisted driving in nearly 900,000 vehicles. However, six halted projects offer cheaper lessons: Ford rehired 350 inspectors after automated quality systems failed, Waymo paused in four cities after a robotaxi got stuck in an Atlanta flood, and Meta dropped AI hate-speech moderation after abuse tripled. The library is designed for managers who need precedent before spending budget.
This release comes as the AI market shifts from "can it do this" to "what did it cost, and did it work." Amazon's CTO noted enterprises moving to cheaper open-source models after Uber burned through its 2026 AI budget in four months. Bloomberg reported a price war between OpenAI, Meta, and xAI, while 404 Media documented Amazon, Adobe, and Citi throttling employee AI use. With monthly AI spends hitting $15 million, buyers now want receipts—and the library provides exactly that.
- Library includes 159 deployments, 77 with outcomes, across 21 industries—free, no signup.
- Successes: OpenAI Codex used by 97.9% of employees; NHS AI cuts analysis from 8 days to 4.
- Failures: Ford rehired 350 inspectors; Waymo paused after robotaxi flood; Meta's AI moderation backfired.
Why It Matters
Real-world precedent replaces hype; buyers now demand proof before investing in AI.