Who Owns Robot Power Planning — Operations, Energy, or IT?

Part I traced embodied AI’s energy problem into the actuator. Part II follows directly: the actuator creates the load, someone has to plan it, and a robot cell has three parents and no owner.

Operations owns takt and uptime; energy or facilities owns feeder, contract and peak; IT owns the agent, twin and edge box. Each optimizes correctly for its own mandate, which is exactly why the gap is invisible until the meter spikes. A robot rated “only 3 kW” is invisible per line until forty dock in the same quarter-hour; edge inference gets booked as an IT load, not part of the cell’s electrical envelope. The result: surprise peaks with no accountable cause, and efficiency projects orphaned between functions.

The fix isn’t a new department, it’s a named owner holding one six-line power sheet (duty-cycle kW, fleet-wide coincident peaks, charging windows, regeneration, standby, edge-compute), signed jointly before the cell is frozen. The working split: operations chairs, energy holds a veto on peak, IT holds a veto on anything unloggable, and procurement enforces, no order closes without three-way sign-off, pilots included. Your action this week: put operations, energy and IT in one room and ask who owns all three pieces at once. Full power sheet at renegrywnow.com.

Reflection questions

  • Who, today, owns all three pieces of your robot power problem at once, or does the room go quiet?

  • Would a robot “rated only 3 kW” show up in your plan once forty dock in the same quarter-hour?

  • Can a pilot cell skip your power sign-off, and become next year’s unplanned-load precedent?

Keywords: Robot Power Planning, Coincident Peak, Energy Governance, Power Sheet, Ownership, Procurement Gate, Edge AI Load, Decision Rights, Operations Energy IT, Physical AI

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Series: Energy Dominance · Week 41 · Part II
Previous: Part I — Actuators, Motors, Gearboxes: The Hidden Energy Bill.

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Actuators, Motors, Gearboxes: The Hidden Energy Bill of Embodied AI