Enterprises using multiple AI models are underestimating failure rates by 2.25x

A study of 67 frontier models from 21 providers reveals that enterprises underestimate failure rates by 2.25x due to the co-failure ceiling. Companies routing queries across specialist and generalist models wrongly assume a safety net exists. However, the actual limit is the percentage of prompts where all models fail simultaneously. This mathematical flaw leads to significant risk miscalculations, negatively impacting decision-making and resource allocation strategies within complex AI orchestration frameworks.