Multi-model AI failure rates underestimated 2.25x

Enterprises using multiple AI models underestimate failure rates by 2.25x. A study of 67 frontier models from 21 providers identifies the co-failure ceiling, a mathematical flaw in the assumption that combining models covers blind spots. The real limit is the percentage of prompts where every model fails together.