Here's what I keep seeing: vendors announce dozens of agents while actual deployments stall out. Microsoft Ignite paraded Agent 365 and specialized agents. Google updated Vertex AI Agent Builder. OpenAI shipped agent-optimized models. Meanwhile, 65% of enterprises are stuck running pilots. Only 11% reach production.
The gap isn't model quality. Carnegie Mellon's benchmark shows even the best models complete just 30% of professional tasks autonomously. MIT found 95% of implementations falling short. IBM researchers got it right: most organizations simply aren't agent-ready.
What matters: 42% of enterprises need eight or more data source connections to deploy successfully, but they lack the APIs, governance frameworks, and monitoring tools for non-deterministic behavior. The exciting work isn't improving models. It's exposing enterprise APIs and building infrastructure agents actually need to operate.