Today we're publishing the AI Use-Case Library: 159 real, named AI deployments across 21 industries, with the tools, vendors, and reported outcomes on 77 of them. Six were halted or reversed, and those might be the most useful entries in the file. It's free, no signup, and built to search before you spend a budget or write a pitch. This edition is the tour: what's working, what got pulled back, and why a precedent file matters right now.

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The receipts are live

Managers don't need more AI news. They need precedent: has anyone in my industry actually done this, with what tools, and did it work.

So we built it. The AI Use-Case Library is live today: 159 documented deployments, 21 industries, reported outcomes on 77 of them, every entry linked to its source.

No signup. Search by industry, by function, by vendor, or by whether the project is still running. Below is a tour of what the file reveals.

What's actually working

Adoption is real where the task is narrow and the outcome is measurable. A sample from the library:

What companies pulled back

The six halted entries are the cheapest lessons in the library. They show where AI quietly fails: institutional knowledge, edge cases, and anything a model will confidently get wrong. A few:

The Audit Era, With Receipts

Here's why a precedent file matters this week. The AI market just moved from "can it do this" to "what did it cost, and did it work."

Amazon CTO Werner Vogels told Fortune that enterprises are shifting to cheaper open-source models because the bills got real. He cited Uber burning through its entire 2026 AI budget in four months, and another company running through half a billion dollars in a single month before it capped employee usage.

Bloomberg reported OpenAI, Meta and xAI are racing to undercut Anthropic on price as buyers scrutinize their invoices. 404 Media documented Amazon, Adobe, Atlassian and Citi throttling employee AI use, with one firm's monthly spend tripling past $15 million.

When budgets get audited, "we think it'll work" stops being enough. Buyers want to see who already tried it and what happened. That's the whole reason we built the library, and why the halted entries carry as much weight as the wins.

How to use it before you spend

  • Filter by your industry and function first. If someone in your seat already ran the project, the outcome is right there.
  • Read the halted entries before the wins. They mark where AI still misses the judgment a human carries.
  • Every entry links its source, so you can take the primary reporting straight into a budget meeting or a pitch.

Key Takeaways

  • The wins are concrete and uneven. OpenAI runs on agents, the NHS reads X-rays, a robot makes 500 bowls an hour. Adoption lands where the task is narrow and measurable.
  • The failures rhyme. Ford, Waymo and Wake County all pulled back where AI missed something a human still catches.
  • The audit era is here. With Vogels flagging blown budgets and buyers scrutinizing invoices, precedent beats hype in a procurement conversation.
  • Free and searchable beats another slide deck. The library is built to be used before you commit a budget.

Worth Reading

Wait, What?

  • A rural upstate New York school district is putting a humanoid robot in a classroom this fall. The Salamanca City Central School District, on the Seneca Nation reservation, is deploying a Realbotix M-Series humanoid and an AI teacher's assistant called Optio for about 500 high-school students, as part of its own AI and robotics curriculum. EdTech Innovation Hub calls it a landmark moment while noting it's still a single-district test. (EdTech Innovation Hub)

Worth Watching

The videos AI practitioners are passing around right now — curated on AI TV.

How Brands Use Reddit to Poison AI Search
404 Media
Sundar Pichai on A.I. Backlash, the Future of Work and Google’s Next Era
Hard Fork

This week's poll

Twelve months from now, your organization's AI spend is:

Last week, 208 of you voted:

**Regulators called it systemic risk this week. Where is the AI trade 12 months from now?**

  • Still booming, and revenue catches up25%
  • A correction, then a stronger market24%
  • A dot-com rerun25%
  • Two markets: infrastructure cracks, software holds27%

See full results →

Back Friday.

Alexis