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From Control to Cognition: Training the Grid for the Age of AI

From Control to Cognition: Training the Grid for the Age of AI

The power grid is evolving from human command to machine learning—where AI, guided by engineers, enables adaptive, self-learning systems that boost reliability, speed, and resilience in an AI-driven energy era.

The Supply-Chain Alarm: AI Data Centers Are Ready—But the Gear Isn’t

The Supply-Chain Alarm: AI Data Centers Are Ready—But the Gear Isn’t

When Data Centers Learn to Bend: Why Flexibility Is the Next Frontier in Decarbonizing Hyperscale Infrastructure

When Data Centers Learn to Bend: Why Flexibility Is the Next Frontier in Decarbonizing Hyperscale Infrastructure

Leapfrogged by the Future: AI and the Fragile Moats of Energy Innovation

Leapfrogged by the Future: AI and the Fragile Moats of Energy Innovation

The Utility-AI Playbook: A Practitioner’s View from the Grid Edge

The Utility-AI Playbook: A Practitioner’s View from the Grid Edge

AI in utilities isn’t about replacing people—it’s about process, trust, and governance. The Utility-AI Playbook outlines seven steps to make intelligence utility-grade: start small, structure data, fine-tune, phase in, measure, govern, and evolve. Reliability remains human-led.

The OpenAI–AMD Accord in Context: From Silicon Optionality to Grid Sovereignty

The OpenAI–AMD Accord in Context: From Silicon Optionality to Grid Sovereignty

Grid Innovations Without Guardrails: Why Utility AI Demands Governance

Grid Innovations Without Guardrails: Why Utility AI Demands Governance