LLMs Have Eaten the Internet — Now They’re Starving on Themselves

I’ve spent my career swimming in data — as former Chief Data Officer at Kaiser Permanente, UnitedHealthcare, and Optum — and at one point, I had oversight of nearly 70% all of America’s healthcare claims. So when I tell you the problem with enterprise AI isn’t the model architecture but the data that models are being fed, believe me: I’ve seen it firsthand.

LLMs are already peaking

The cracks are already showing in LLMs. Take GPT-5. Its launch was plagued with complaints: it failed basic math, missed context that earlier versions handled with ease, and left paying customers calling it “bland” and “generic.” OpenAI even had to restore an older model after users rejected its colder, checklist-driven tone. After two years of delays, many started asking if OpenAI had lost its edge — or if