From Point Solutions to Agentic AI Ecosystems: Semiconductor Process Control Depends on Its Past

Agentic AI in semiconductor manufacturing builds on decades of progress in process control and data infrastructure. This evolution from isolated point solutions to collaborative, goal-driven systems is driven by advancements in large language models and communication protocols. While current implementations are semi-autonomous, the industry is moving towards fully autonomous manufacturing. The main challenges lie in integration and organizational readiness rather than algorithm development. Success with agentic AI hinges on a strong underlying platform and effective integration into complex manufacturing ecosystems.