**The AI Use-Case Library is Live: Real Precedents for Decision-Makers**
In a market flooded with AI announcements and hype, leaders are facing a critical question: *Is this for real, and can I prove it to my finance team?* The answer isn’t more news—it’s precedent. To address this need, a new public resource has launched: **The AI Use-Case Library.** This free, searchable database is designed to move the conversation from theoretical possibilities to documented outcomes, complete with receipts.
### What’s Actually Working: Documented Wins
The library moves beyond theory by showcasing 159 documented deployments across 21 industries. The focus is on projects with measurable outcomes, and many are already delivering significant value. Here are a few standout examples:
* **OpenAI’s Internal Revolution:** The company isn’t just talking about AI; it’s living it. 97.9% of OpenAI employees now use its Codex agent, a massive jump from roughly 40% the previous year. This adoption extends beyond engineering into Legal and Recruiting.
* **The NHS Scales Diagnostics:** The UK’s National Health Service is using AI for national-scale chest X-ray analysis. A £20M expansion has already helped over 4 million patients, slashing analysis time for complex cases from eight days down to four.
* **Robots in the Kitchen:** Fast-casual favorite Sweetgreen has sold its bowl-making system to Wonder, which now produces 500 bowls per hour. For comparison, a human line cook averages just 45 in the same timeframe.
* **Autonomous Driving Hits the Road:** Moenta’s urban Navigate-on-Autopilot software is no longer just a test. It’s shipping in production vehicles from major manufacturers like Toyota, Mercedes-Benz, BYD, and GM, reaching 680,000 to 900,000+ cars.
* **Pinterest’s Ad Engine Goldmine:** Pinterest’s AI-powered Performance+ campaigns have hit a $1 billion quarterly run rate. These AI-driven campaigns now account for about 30% of lower-funnel revenue, with advertisers adopting them growing their spend at nearly double the rate of those who haven’t.
* **High-Speed Logistics:** China Post is automating its Guangzhou hub with humanoid robots, capable of processing 1,200 parcels an hour to keep up with a daily flow of 6.5 million pieces.
### What Companies Pulled Back: The Cost of Failure
For every success story, there are cautionary tales. The library includes “halted entries,” which are often the most instructive lessons. These projects stopped due to challenges like navigating institutional knowledge, failing on edge cases, or models confidently generating incorrect outputs. Examples include setbacks from major players like Ford, Waymo, and Wake County, highlighting where AI still struggles to match human judgment.
### The Audit Era: Why Precedent Matters
This library launches at a pivotal moment. The AI market is shifting from “Can it do this?” to “What did it cost, and did it work?” Executives are demanding proof of ROI, and budgets are getting scrutinized like never before.
* **Burning Through Budgets:** High-profile reports reveal companies like Uber burning through their entire 2026 AI budget in just four months, while others have spent half a billion dollars in a single month before hitting pause.
* **Throttling Spend:** Major firms like Amazon, Adobe, Atlassian, and Citi have all reportedly restricted employee AI usage, with one company’s monthly spend tripling past $15 million.
* **The Search for Value:** With buyers demanding accountability, the era of “we think it’ll work” is over. Stakeholders want evidence, and the library is built to provide it.
### How to Use This Resource Before You Spend
The AI Use-Case Library is a practical tool designed for decision-makers. Here’s how to leverage it:
1. **Filter by Your Context:** Search by industry, function, vendor, or project status. If someone in your role has already launched a similar project, you can see the outcome immediately.
2. **Learn from Setbacks:** Don’t skip the halted entries. They map the exact pitfalls to avoid, revealing where AI still lacks human judgment.
3. **Trace the Evidence:** Every entry links to its original source, allowing you to take the primary documentation directly into budget meetings or executive pitches.
### Key Takeaways
* **Real-World Adoption is Here:** Successes are concrete and specific, from OpenAI’s internal tools to the NHS’s diagnostic powerhouse.
* **Failures Have Patterns:** The projects that stalled reveal critical gaps in current AI capabilities.
* **The Audit is On:** The market is moving away from hype and toward hard ROI data and cost accountability.
* **Precedent Trumps Hype:** In a market full of promises, documented evidence is the most powerful tool a leader has.
### FAQ
**Q: What is the AI Use-Case Library?**
A: It is a free, public database of documented AI deployments. It provides 159 real-world examples across 21 industries, complete with reported outcomes and source links, designed to show what has and hasn’t worked.
**Q: How is this different from other AI news?**
A: Instead of announcing new features, the library focuses on precedent. It answers the question, “Has anyone in my industry actually done this, and what was the result?” It prioritizes evidence over hype.
**Q: Who is this for?**
A: This resource is built for managers, executives, and decision-makers who need to justify investments and reduce risk. It’s for anyone who needs to move beyond speculation and into proven results before allocating budget.
**Q: Do I need to sign up?**
A: No. The library is completely free and requires no signup. It is designed for open, immediate use.
**Q: How can I search for information?**
A: You can filter and search by industry, specific business function, vendor name, or by project status (e.g., searching for only “halted” projects).
### Conclusion
The AI Use-Case Library represents a shift in how we evaluate technology. It moves the conversation from speculative futurism to evidence-based decision-making. In an era of tightening budgets and increased scrutiny, precedent is more valuable than promise. By providing free access to real-world outcomes—both the wins and the failures—the library empowers leaders to make informed choices, avoid costly mistakes, and deploy AI with confidence.
