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Brandon Owens

Brandon Owens

New York City

Brandon N. Owens is a clean-energy innovation executive and author, leading national strategy at the intersection of AI and energy. Founder of AIxEnergy, he writes on infrastructure, electrification, and the future of intelligent energy systems.

Extending AI Governance into Grid Governance: A Review of the OECD AI Report from an Infrastructure Systems Perspective

Extending AI Governance into Grid Governance: A Review of the OECD AI Report from an Infrastructure Systems Perspective

The Grid’s New Blind Spot: Why Demand Volatility May Be the Next Frontier in Rate Design

The Grid’s New Blind Spot: Why Demand Volatility May Be the Next Frontier in Rate Design

The IEA’s Electricity 2026 Meets AI: What the World’s Top Power Outlook Says—And What It Doesn’t

The IEA’s Electricity 2026 Meets AI: What the World’s Top Power Outlook Says—And What It Doesn’t

Leadership After the Illusion: Why AI Forces Energy to Redesign Authority

Leadership After the Illusion: Why AI Forces Energy to Redesign Authority

When AI Agents Talk to Each Other: What the Electric Power Grid Reveals About the Next Phase of Intelligence

When AI Agents Talk to Each Other: What the Electric Power Grid Reveals About the Next Phase of Intelligence

What This Conversation Leaves Out: Why Artificial Intelligence Is Being Imagined Without Its Most Important Constraint

What This Conversation Leaves Out: Why Artificial Intelligence Is Being Imagined Without Its Most Important Constraint

Elite AI debates assume intelligence will scale smoothly, but they omit the central constraint: electricity. As AI becomes agentic and self-accelerating, the grid—not the model—will decide what actually scales.

Artificial Intelligence Has Entered the Grid—Quietly: What U.S. utilities are doing with AI—and why scale remains constrained

Artificial Intelligence Has Entered the Grid—Quietly: What U.S. utilities are doing with AI—and why scale remains constrained

U.S. utilities are adopting AI cautiously—piloting tools for forecasting, reliability, and large-load management while avoiding autonomous control. The constraint isn’t technology, but governance, data, regulation, and risk tolerance.