The Evolutionary Leap of Aerospace Intelligent Manufacturing: The Path of AI Empowerment from "Experience-Based" to "Data-Driven" Decision Making(Part Ⅱ)

If Generative AI serves as the "brain," responsible for understanding and reasoning, Agentic AI functions as the "executor" capable of perceiving, deciding, and taking action. Beyond 2026, aerospace manufacturing will evolve from Human-Machine Collaboration toward a more advanced model of Human–AI Symbiosis, with the Model Context Protocol (MCP) emerging as the critical protocol connecting everything.

Unlike traditional AI systems that primarily provide recommendations (e.g., Suggesting tool replacement), Agentic AI operates through a closed-loop architecture encompassing Perception, Reasoning, Planning, and Action. When assigned a high-level objective—such as optimizing a weekly production schedule to minimize changeover time— Agentic AI can autonomously orchestrate and invoke multiple tools, systems, and data sources to execute the task.

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