Fine-Tuning AI for the Grid: How Industry-Specific LLMs Are Transforming Utilities
Utilities are adopting fine-tuned AI models trained on sector-specific data to avoid costly misinterpretations, integrate securely with grid systems, and deliver gains in reliability, efficiency, and decision-making that general-purpose LLMs cannot match.
The Prompt Box Is Part of the Energy System: Why Sustainable AI Is Not Just a Data Center Problem
AI’s environmental impact depends not only on data centers, chips, and power supply, but on how people use it. Sustainable AI requires purposeful prompting, right-sized models, less low-value output, and better “demand architecture” for computation.
Ian Todreas
The New Geography of AI Infrastructure
AI is making computation physical again: global AI capacity will follow not just chips and fiber, but power, water, cooling, permits, grid reliability, and the emerging Shadow Grid that turns energy infrastructure into the new map of AI advantage.
Brandon Owens