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The Founders Who Left Tesla to Rebuild America | a16z

Erin Price-Wright speaks with Turner Caldwell and Drew Baglino about what it will take to close America's critical minerals gap and modernize the power infrastructure that underpins the AI economy. With the US more than 50 years behind China in critical mineral supply and grid infrastructure built on systems designed a century ago, they examine where the real bottlenecks are and how to move faster. The conversation covers how automation, reinforcement learning, and vertically integrated operations can compress the timelines for mining and refining, and why co-locating supply chains matters more than labor costs in the race to reshore manufacturing. Baglino explains how solid state transformers can replace aging mechanical grid equipment with silicon and software, while Caldwell outlines how Mariana Minerals is applying autonomous systems to remove the know-how bottleneck from critical mineral processing. They also discuss the lessons both founders carried from Tesla — techno-optimism, appetite for risk, and mission-driven talent — and what durable industrial policy, smarter permitting, and a federal grid investment framework would unlock for American competitiveness. Timestamps: 00:00 Intro 00:47 AI Needs Physical Infrastructure 02:23 Meet the Builders 03:11 Mariana Minerals Explained 04:19 Heron Power's Grid Upgrade 05:31 Why Onshoring Matters 07:48 Tesla Lessons and Workforce 21:09 Policy Asks and Wrap Resources: Follow Michael on X: https://x.com/tbc415 Follow Drew on X: https://x.com/baglino Follow Erin on X: https://x.com/espricewright Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

Turner CaldwellguestDrew BaglinoguestErin Price-Wrighthost
May 13, 202623mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Tesla alumni target minerals, grid upgrades to reindustrialize America fast

  1. AI leadership is constrained less by algorithms than by “atoms”: materials, energy generation, and grid capacity to deliver power where needed.
  2. Mariana Minerals aims to close America’s critical-minerals gap by vertically integrating mining and refining and using software (LLMs and reinforcement learning) to speed design, construction, and operations.
  3. Heron Power targets the grid’s slow-moving core by applying modern power semiconductors to build solid-state transformers that improve monitoring, control, and scalability for data centers and renewables.
  4. Both founders contend the US can build quickly when incentives align, but permitting, local “yes/no” dynamics, and fragmented supply chains often slow deployment more than labor costs.
  5. They call for durable industrial policy and coordinated infrastructure planning to unlock private capital, co-locate supply chains, and accelerate grid and minerals build-out domestically.

IDEAS WORTH REMEMBERING

5 ideas

AI competitiveness hinges on energy, materials, and grid throughput.

The discussion frames AI dominance as dependent on mining/refining capacity, manufacturing scale, and the ability to transmit electricity to new loads like data centers—not just better models and chips.

Permitting isn’t the only bottleneck—execution speed after approval is critical.

Caldwell argues the US remains slow at designing, building, and ramping mineral projects even once licensed, with multi-year timelines to construct and reach steady-state production.

Autonomy is positioned as the lever to overcome scarce industrial know-how.

Mariana’s bet is reinforcement learning to run refineries and mines amid variable feedstocks and thousands of daily operational decisions, reducing dependence on a thin domestic talent pool with legacy expertise.

The grid’s core remains largely mechanical and under-instrumented.

Baglino contrasts rapid innovation “at the edge” (EVs, charging, storage) with minimal modernization “on the other side of the wire,” leading to fragile, overbuilt systems with limited control and monitoring.

Power semiconductor advances are ready to be deployed on the grid.

Heron Power plans to use silicon carbide–enabled power electronics to replace traditional steel/oil/copper-heavy transformers with solid-state transformers for data centers and large energy sites.

WORDS WORTH SAVING

5 quotes

The US is 50 years behind on critical mineral supply. We are too slow at designing, building, and ramping up new minerals capacity even after we have license to operate.

Turner Caldwell

AI dominance and re-industrialization more broadly are physical projects. They are energy projects. They are mining and refining projects. They are manufacturing projects. They are grid-scale projects.

Erin Price-Wright

Even though there's so much innovation happening at the edge of the grid, on the other side of the wire, there's really been no change.

Drew Baglino

We're making a big bet on autonomy in refineries, where we use reinforcement learning to actually remove humans from the loop in determining how refineries operate.

Turner Caldwell

If the outcome is worth it, like, we-- that-- Tesla will, like, fight through the challenges of getting to that outcome.

Turner Caldwell

AI’s physical infrastructure bottlenecksCritical minerals mining and refining onshoringAutonomy in mines/refineries (reinforcement learning)Project delivery acceleration (software-first industrials)Solid-state transformers and silicon carbideIndustrial workforce development via “analog” talent poolsDurable industrial policy and grid funding models

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