The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

VentureBeat Pulse Research (May 2026) finds enterprise AI agents fail mainly due to fragile runtime infrastructure, not models, with stateless setups losing context, driving token-cost overruns, and causing cascading errors. Most teams spend significant engineering time on reliability plumbing, and vendor opacity and observability burdens persist, especially on Microsoft stacks.