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Industry, universities tell House panel AI and modular plants can speed U.S. critical‑minerals supply
Summary
At a House Natural Resources subcommittee hearing, tech, industry and academic witnesses argued that AI-driven exploration, modular processing and byproduct recovery can shorten project timelines, reduce environmental impacts and attract private investment, while members pressed for clearer permitting and workforce pipelines.
Witnesses at a House Natural Resources Subcommittee hearing on critical minerals on Dec. 1 urged Congress to pair technology investment with stable policy and workforce funding to speed domestic production.
Daniel Donahue, head of growth at Terra AI, told members that his company's models let geologists generate ‘‘thousands in just minutes’’ of deposit models, reducing exploratory false positives and compressing timelines that historically discouraged private investment. ‘‘We can produce thousands in just minutes,’’ Donahue said, arguing faster, data‑driven exploration could make mining more attractive to investors and bring more deposits online for energy and national security needs.
Mahesh Kunduru, chief executive officer of Momentum Technologies, described a modular membrane solvent‑extraction (MSX) platform developed with Oak…
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