Energy, Minerals, and the Physical Stack Behind AI

What It Covers

Turner Caldwell (Mariana Minerals) and Drew Baglino (Heron Power), both former Tesla executives, explain why AI dominance requires rebuilding America's physical infrastructure stack — critical minerals supply chains, grid-scale power systems, and domestic refining capacity — and how software-driven autonomy can accelerate that rebuild.

Key Questions Answered

• •US Minerals Gap: America sits roughly 50 years behind China in critical minerals processing capacity, and permitting reform alone cannot close that gap. The real bottleneck is construction and ramp-up speed after licensing. Mariana Minerals targets this phase specifically, using reinforcement learning to autonomously control refinery operations and eliminate dependence on scarce specialized labor.
• •Solid-State Grid Transformation: US power grid infrastructure runs on mechanical systems designed before World War II, with no meaningful modernization in over a century. Heron Power replaces steel, oil, and copper transformers with silicon carbide-based solid-state transformers controlled by software, targeting data centers and large-scale solar and battery installations where demand is accelerating fastest.
• •Autonomous Refinery Control: Mineral refineries require thousands of daily adjustments — temperatures, flow rates, chemical additions, residence times — to handle heterogeneous feedstock. Mariana deploys reinforcement learning to remove humans from this control loop entirely, solving a critical labor shortage problem while maintaining consistent output quality that manual operations cannot reliably achieve at scale.
• •Labor Cost Misconception: Factory labor differentials between US and China represent less than 10% — possibly under 5% — of cost of goods sold in modern automated facilities. The actual competitiveness gap comes from supply chain colocation. China's industrial zones place all components within a three-hour drive; replicating that geographic clustering in the US would unlock manufacturing competitiveness more than wage arbitrage ever could.
• •Tesla Playbook for Industrial Sectors: Three transferable principles from Tesla apply directly to reindustrialization: unwavering techno-optimism toward legacy systems, high risk tolerance enabling fast decisions without fear paralysis, and sustained commitment to difficult projects when the outcome justifies it. Both founders identify abandonment of hard projects after early failure as the primary reason previous autonomy attempts in mining stalled.