AI’s biggest failures might actually be a $10B goldmine.
Not because the failures are funny or shocking but because they reveal something deeper: a growing gap between how competent AI looks… and how reliable it actually is in the real world.
Look at what’s been happening:
→ Claude behaves unpredictably when controlling a simulated vending machine.
→ Google’s AI Overviews produce strange hallucinations.
→ Lawyers submit fabricated citations generated by AI.
→ Even Microsoft teams flagged inconsistent AI-driven performance reviews.
These moments expose a simple truth: AI feels smarter than it really is.
And that gap, the space between apparent intelligence and real-world reliability, is where the next generation of valuable AI products will be built.
The real opportunity lies in tools that:
→ Admit their limitations
→ Keep humans in the loop
→ Specialize narrowly instead of trying to do everything
→ Prioritize reliability over flashiness
As AI gets more advanced, its failures get more creative too, and the demand for systems that make AI honest, verifiable, and trustworthy is exploding.
This is the $10B space no one is talking about loudly enough.
If you’re building or scaling AI right now, this is where the real value sits.
If you want to explore how this opportunity fits into your AI roadmap, DM me.
