Sustainability

Backed by a $3.5 million US Department of Energy grant, Texas A&M researchers are developing an AI-enabled drilling system that can identify critical minerals in real time, reducing exploration time and costs for rare earth element deposits.
The global energy transition is accelerating, but geopolitical tensions, infrastructure constraints, and behavioral barriers are increasingly shaping its pace, priorities, and long-term impact.
By integrating AI into every layer of the energy ecosystem, from renewable forecasting to dynamic pricing, the path toward secure, sustainable, and affordable energy becomes not just possible but achievable.