Agentic AI for Energy and Utilities: From Grid Operations to Autonomous Workflows

In this episode, we break down Automatic.co's market research report on agentic AI for energy and utilities. The conversation covers why utilities are a strong fit for supervised agentic workflows, where the early use cases are likely to emerge, and why the category is less about replacing operators and more about coordinating complex work across fragmented systems.Topics include grid operations, outage triage, predictive maintenance, customer operations, forecasting and trading, renewable and distributed energy resource optimization, compliance documentation, security, governance, human-in-the-loop design, and the competitive landscape forming around enterprise AI platforms and utility incumbents.The core takeaway: agentic AI in utilities will likely scale first in repeatable, auditable workflows where agents can gather context, prepare recommendations, draft work packages, route approvals, and document decisions while humans retain accountability for high-risk actions.Referenced links:Automatic.co report: Agentic AI for Energy & Utilities MarketAutomatic.coDEV.coSEC.coLLM.co