Hardware to Save a Planet

How AI Is Unlocking Geothermal Power at Scale with Joel Edwards

8 snips
Feb 19, 2026
Joel Edwards, CTO and cofounder of Zanskar and an earth scientist with a PhD, explains how AI and geoscience pinpoint hidden geothermal reservoirs. He describes machine learning models, physics-constrained simulations, and low-cost drilling that cut exploration costs dramatically. He also discusses permitting, grid interconnection bottlenecks, and Zanskar’s plan to scale to gigawatt-level reliable clean power.
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INSIGHT

Why Geothermal Lost Its Early Lead

  • Geothermal once outpaced wind and solar but stalled when oil majors left in the 1980s and fuel prices fell.
  • That exit plus flat innovation kept geothermal flat while wind and solar dropped costs rapidly.
INSIGHT

Subsurface Risk Drives Geothermal Costs

  • The core cost barrier for geothermal is subsurface exploration risk and the resulting high cost of capital.
  • If you could drill high-quality wells reliably, geothermal would be the cheapest form of power.
INSIGHT

Hidden Hotspots Are Common

  • Many high-quality conventional geothermal systems are hidden with no surface signals and small footprints.
  • That makes discovery a needle-in-a-haystack problem requiring precise search tools.
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