500,000 Autonomous Decisions Per Day at $10K Per Mistake: How Fabs Run Agentic AI on Streams
The most advanced AI inference systems running in production today aren't at a GenAI startup. They're on semiconductor fab floors.
I stumbled onto this realization while building an agentic streaming architecture last year. A former colleague from my semiconductor days watched me sketch out the Kafka-to-agent pipeline and laughed. "We've been running that in production for years. We call it neural APC." Advanced Process Control. Same pattern, same ML frameworks (PyTorch, edge inference, reinforcement learning), same autonomous reasoning loop. And here's why that's exciting: it means there are production-proven patterns we can borrow directly. We don't have to figure this out from scratch.
The Pattern Match That Changed How I Think About This
Strip away the marketing and an agentic streaming system has four components:
- A continuous data stream (events arriving in real-time, unbounded)
- An autonomous reasoning layer (decides what to do without human approval)
- Action execution(modifies the environment...
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