Manufacturing leaders face growing pressure to increase output while managing data quality, workforce concerns and the operational risks of AI. The next phase of industrial AI may depend less on adding another technology layer and more on how organizations connect intelligence to real decisions on the plant floor.

In the final part of a three-part series, Tony Trim, Manufacturing Operations AI Leader at Eaton, continues the conversation with Stephen Hooper, SVP Operations Solutions at Autodesk, on how manufacturers can prepare for agentic AI and a changing industrial landscape. Trim frames AI investment across four tiers: describing what happened, diagnosing why, predicting what comes next and prescribing what to do.

Across the conversation, Trim explores:

• Agentic AI and governance: Bounded actions, human authority and OT discipline must shape operational AI.
• Capacity through digital operations: AI can help manufacturers improve output when demand exceeds existing capacity.
• Workforce adoption: Technology deployment requires cultural buy-in and an environment where operators and technology work together.
• Shop-floor leadership: Better decisions begin by understanding where work happens and what information workers need.

Trim also connects electrification, data centers and rising energy demand to a broader shift in manufacturing. The conversation closes with a practical leadership principle: walk the floor, identify the decisions made with too little information and improve them one by one.

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