How AI Is Unlocking Geothermal Power at Scale with Joel Edwards

Episode notes

Geothermal energy has long been overlooked, dismissed as a niche despite its ability to deliver constant, carbon-free baseload power. As data centre demand surges and grids strain under electrification, geothermal is re-emerging as a critical piece of the clean energy puzzle. Unlike intermittent renewables, it offers steady generation; if you can find it. In this episode of Hardware to Save a Planet , host Dylan Garrett speaks with Joel Edwards, CTO and cofounder of Zanskar, about how AI and geoscience are transforming geothermal discovery. Joel explains why the industry stalled after oil majors exited in the 1980s, and how Zanskar is solving the “needle in a haystack” problem of locating hidden reservoirs. By combining machine learning, proprietary field data, and physics-constrained simulations, the team has reduced exploration costs by up to 90% and drilled one of the most productive pumped geothermal wells in the United States at Lightning Dock. The conversation explores permitting bottlenecks, grid interconnection delays, and Zanskar’s ten-year vision to scale to one gigawatt of reliable and clean power. Hardware to Save a Planet is