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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 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
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
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
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.
From Paradox to Progress — A Review of WEF’s Net-Positive AI Energy Framework
AI has crossed from a marginal energy concern to a system-level driver of electricity demand, infrastructure investment, and grid planning. WEF and Accenture’s net-positive AI framework grounds this shift in lifecycle accounting, demand shaping, and real grid constraints.
From Pilot to Core Part I: Governing Artificial Intelligence in U.S. Electric Utility Operations Under Existing Regulation
The Year the Grid Met AI: 2025 and the Collision Between Exponential Compute and Linear Infrastructure
Generative AI didn’t just increase electricity demand—it shattered planning assumptions. In 2025, utilities faced fast, concentrated load, broken forecasts, and new reliability risks, forcing a shift from passive supply to active stewardship of compute-driven infrastructure.
When Advice Becomes Authority: AI, the Grid, and the Governance of Delegated Judgment
AI is quietly shifting grid operations by moving judgment upstream into decision-support software. The Cognitive Grid argues legitimacy requires permission that is legible, bounded, and auditable at machine speed—implemented via EthosGrid’s runtime governance layer.
The Utility-AI Leadership Edge Part II: The Utility CIO’s Mandate in the Age of AI
Utility CIOs face a structural shift as advanced intelligence moves into grid operations. The mandate is to govern, scale, and integrate it responsibly—unlocking flexibility, resilience, and efficiency while managing operational, cyber, and regulatory risk.
The Five Convergences Course: Mastering AI-Energy Integration for Grid Leaders
AI is no longer software—it is infrastructure. This new course introduces the Five Convergences framework and explains why understanding AI’s role in energy demand, control, design, and governance is essential to managing the emerging cognitive grid.