Critical Minerals: Mining for the Industrial Future

23 Jul 2025 · 48 min

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a16z Podcast Episode Notes: Critical Minerals: Mining for the Industrial Future

Episode Overview This episode discusses the critical importance of minerals in modern technology and infrastructure, featuring Erik Torenberg, Turner Caldwell (founder of Mariana Minerals), Erin Price-Wright, and Ryan McEntush. They explore the complexities of mining, the challenges faced by the industry, the role of technology, and the geopolitical dynamics influencing the future of mining in the U.S.

Key Themes

  • Critical Minerals: Essential for technologies like smartphones, AI, and defense systems.
  • Mining Challenges: Long timelines for permitting and building mines, lack of innovation, and the need for a skilled workforce.
  • Technological Advancements: The potential for AI and machine learning to optimize mining operations and refine processes.
  • Geopolitical Context: The increasing urgency for U.S. independence in critical minerals supply chains.

Timecodes and Highlights

  • 00:00 Introduction to Critical Minerals
  • Discussion of their role in everyday technology and the intersection of tech and geopolitics.
  • 00:45 Importance of Mining in Modern Technology
  • Overview of how mining is foundational to various sectors, from aerospace to consumer electronics.
  • 00:58 Meet Turner Caldwell and Mariana Minerals
  • Turner’s background at Tesla and his vision for a vertically integrated mining company focused on technology.
  • 03:02 The Mining and Refining Process
  • Steps from exploration to the final usable product: concentrating ores, refining, and producing metal products.
  • 05:10 Challenges in the Mining Industry
  • The lengthy permitting process, technological stagnation, and workforce shortages.
  • 07:11 Turner's Journey from Tesla to Mariana
  • Insights into why Turner transitioned to starting a mining company after years in battery manufacturing.
  • 15:31 The Role of AI and ML in Mining
  • Discussion on how advancements can improve efficiency and decision-making in mining operations.
  • 22:00 Geopolitical and Talent Pool Dynamics
  • Analysis of how global competition, particularly from China, affects U.S. mining efforts.
  • 41:18 Permitting and Regulatory Challenges
  • Detailed examination of the hurdles in the permitting process and suggestions for improvement.
  • 46:08 Future Strategies and International Expansion
  • Plans for Mariana to scale operations and potentially expand internationally.

Key Concepts and Arguments

  1. Critical Minerals and Their Importance
  2. Definition: Minerals essential for manufacturing a variety of technologies.
  3. Dependency: Modern technologies, such as AI and renewable energies, heavily depend on a reliable supply of these minerals.
  1. Challenges in the Mining Sector
  2. Permitting Delays: U.S. permits can take over 15 years, impacting the ability to respond to market demands.
  3. Market Dynamics: Unlike manufacturing, increased demand in mining can lead to higher prices instead of lower costs due to economies of scale.
  1. Technological Solutions
  2. AI and Automation: Potential to optimize mining operations, improve efficiencies, and reduce the reliance on human decision-making in complex processes.
  3. Vertical Integration: Turner argues that a vertically integrated model, similar to Tesla's, is necessary to control the entire supply chain effectively.
  1. Geopolitical Implications
  2. Supply Chain Security: The importance of reducing dependency on foreign nations, particularly China, for critical minerals.
  3. U.S. Policy Shifts: Growing recognition among policymakers about the significance of domestic mining.

Challenges and Recommendations

  • Regulatory Hurdles: Streamlining the permitting process and improving efficiency in environmental assessments.
  • Talent Acquisition: Cultivating a skilled workforce and creating incentives to attract professionals to the mining sector.
  • Demand-side Support: Government-backed price stabilization for critical minerals could mobilize private investment.

Conclusion The episode emphasizes the urgent need for innovation and investment in the U.S. mining sector to secure critical minerals for future technologies. Mariana Minerals aims to address these challenges through a technology-driven, vertically integrated approach to mining and refining.

Call to Action Listeners are encouraged to engage with the a16z community and share their thoughts about the podcast. Visit the following links for more information:

  • [a16z podcast](https://a16z.simplecast.com/)
  • [Follow Erik Torenberg on X](https://x.com/eriktorenberg)

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Transcript

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0:00Critical minerals fundamentally underpin everything that we do every day. It's in your phone, in your AirPods, your screens, your laptops, everything that we use, how they're refined, and how their mind, that all happens in the background. There's not that many massive markets left that have been sort of like largely uncapped by technology and mining sort of screens, one of the largest markets in the world. This is the intersection of geopolitical urgency and tech. Now we have technology that can actually go and disrupt this. It also has a talent -based, hard -tech companies working in dirty spaces, willing to go out in the field.

0:35So now's the time to build this company. It's a huge problem. We have to figure out how to address it. And that means investing and mining in the US again. It can take more than 15 years to permit and build a new mine in the United States. And yet, nearly every modern technology we rely on, from smart phones to fighter jets to AI data centers, depends on a steady supply of critical materials. Today, we're joined by Turner Caldwell, founder of Marianna Minerals, along with American Dynamism General Partner, Aaron Pricewright, and partner Ryan McIntosh. Turner spent nearly a decade at Tesla, working his way upstream from factory design to battery materials and mining.

1:14Now, he's building a new kind of mining and refining company, vertically integrated in software first, designed to meet the demand our industrial future requires. We get into why this industry is so broken, what it actually takes to turn rocks into usable materials, and how the US can rebuild its capacity to mine, refine, and manufacture the things that matter most. Let's get into it. As a reminder, 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.

1:52Please note that A16z and its affiliates may also maintain investments in the company's discussed in this podcast. For more details, including a link to our investments, please see A16z .com forward slash disclosures.

2:08So Turner, you're coming out of stealth with $85 million raised. Why don't we get into what are critical minerals and why do they matter? Critical minerals fundamentally underpin and everything that we do every day. And that's why we're personally really excited about it. But it's not just aerospace, energy, renewable energy, battery, energy storage systems, the massive growth in AI that's happened in the last 12, 18, 24 months and defense, obviously. But it's also everything that we use every day, right? Like, but it's in your phone, in your AirPods, your screens, your laptops. And so it really crosses everything that we use.

2:43But where they're produced and how they're refined and how their mind, that all happens in the background. And so it's something that really does need to be brought to the foreground, something that we need to support more and more of. And it's a long chain to go from digging something up, to go all the way through to something that can actually be deployed in an end product. And so excited to talk about that. Well, I'm getting to, how do we turn rocks into batteries or magnets, and why is that so important? Yeah, so it starts with mining, obviously. Well, it actually starts with exploration. But that's it.

3:11You gotta find the rocks. That's right. You gotta find the rocks in the first place, which is hard to do. And there's a lot of awesome companies that are working on trying to condense that timeline. But once you do find them, you have to get that asset or that resource permitted to extract. You develop a mining plan, you have to mine it. And when those rocks come to the surface, you have to separate ore from waste, which is something that is not as trivial as people might expect. And then you go through a concentration step. So the ore will come to the surface. They'll be less than 1%, definitely less than 5%, concentration unless you have this world class deposit.

3:39And you'll typically go through a concentrating step. So that can be mechanical, it can be thermal, it can be chemical. and that gives you an intermediate product. And those intermediate products kind of move all over the world and typically go to refining assets. The refining operation effectively goes from anything that is like a 10 % concentrate to a 50 % intermediate product and turns into a high purity metal. And then you go into a specialty chemical. And so that's this intermediate product where you go through another chemical process to either make a metal sulfate or a metal hydroxide salt.

4:10And then you will convert that into an engineered material, which is the next step in that electrochemical systems and batteries, you'll have cathode materials who have anode materials and they're the morphology and electrochemical performance in the system is really important. And then you're ready to deploy into a battery cell and then you'll go into a module and then you'll go into a pack and then you'll go into a car or go into a stationary storage product. And on the magnet side of things, similarly you'll get to a refined rare earth product and it's a long list of rare earth staff and get bundled into one group, but it's important to break them out.

4:39And then the common way of making magnets there's a few flow sheets, but you'll slurry it, you'll get the right blend of the different rarest so you're trying to put in, you'll cast that, you'll center it, and then you'll go through a fairly intricate and high precision machining process to get the geometry that you want with the tolerances that you need before you can deploy that into magnets and eventually into motors. How specific is it for a given site, given concentration and other waste products? Like, how dynamic is it? Is one rare earth wine going to be similar process to another or there's going to be very bespoke setup?

5:10it's very bespoke. And it's actually part of the problem and what makes kind of the minerals industry so complicated is that the flow sheet, which is ultimately how you go from the ore all the way through to the refined metal, is designed for that specific asset. You will have concentrations of impurities that you have to manage. The concentration, how they say that target metal is different. And there's like a library of metallurgical unit operations that are kind of all stitched together to build a refining operation or a pressing operation. But how those are stitched together, that's bespoke for the individual unit operation and tied to the kind of chemical, metallurgist, press engineer that designed the circuit in the first place.

5:45So there's a lot of human impact on what that flow sheet ultimately looks like. But yes. And I imagine very hard to change as the nature of the ore changes as you minusight. That's right. And so part of what we're working on and what we'll talk about a little bit later, I'm sure, is how do you design circuits that have a little bit more flexibility to be able to process or as it changes over time as you mine through the body because one mind does not actually have consistent or coming out of it. The earth is heterogeneous, the ore grades are changing, the impurity concentrations are changing, there are different ore zones that have different properties and how they are floated or how they're concentrated, how they perform an leaching circuit, and all of those things are custom built for a specific asset.

6:23One more question on this. What are the types of job titles, like backgrounds of people working in this space? I imagine for, you know, at the supply chain, you just describe very different types of people, very different backgrounds, but they all have to ultimately work together. But can you talk a little bit about that? Yeah, that's one of the big hard parts. Is you have geologists, you have geophysicists, you'll have mining engineers, you'll have geotechnical engineers, you'll have process engineers, chemical engineers, chemists, metallurgists, mechanical engineers, structural engineers, civil engineers.

6:50It's the whole gambit. Plus the long tail of workers on site who are moving things from point A to point A. That's right, which also have a super diverse skill set because you need everything from the mining engineers and the chemical engineers and the geologists that sit around to operate the asset in addition to the folks that have to kind of manage the back office, which is something that often gets overlooked when we're thinking about successfully building an operating complex circuit. Did you always love rocks? Did you always know that you were going to start a mining company? Yeah, so kind of a funny story.

7:17The day that I graduated from college, the like urge that I had was to just move to Australia and try to find a job in a mine. I did not act on that urge and instead started at Tesla roughly 10 years ago now. And I started out working on factory design, factory construction, and actually it's slowly over that nine plus year period worked my way upstream in the value chain. So, we're talking factory designing construction and then started working on battery cell manufacturing. It's spent a lot of time in Japan with Panasonic who's our primary battery cell manufacturing partner working on incremental improvements to their legacy battery cell manufacturing systems.

7:50The like poll has always been big things for me, like large scale infrastructure that has a large impact on the world. I mean, if you want to have a big impact on the world, you have to build things at scale, that's how you get to the impact. But yeah, so was working on battery cell manufacturing because I was spending a lot of time in Asia, started to explore the supply chain, was building some of the early technoeconomic models of how cathode materials are made, how anode materials are made, and the balance of the components that go into a battery cell. And ultimately, this was just following cost.

8:17It was when I was working on factory design and construction. The most expensive thing was actually the equipment that goes inside the factory. Then when we started working on cell manufacturing, kind of realized that the expensive part of making cells is the stuff that goes inside the cells. And as you start getting further and for their upstream, you realize that the primary driver of cost is the metals that are going into the engineered materials that then go into the cells and then eventually go into the battery. So it started kind of digging much deeper into why metals are so expensive. What you kind of run into is that there's this interesting incentive misalignment that exists between the customer and the producer of metals.

8:53In the mining industry, more demand, this is totally different than manufacturing. More demand if you have a higher volume. the expectation is that the price goes up. And because it's a constrained supply, and so the pricing dynamics are totally different than manufacturing companies, where higher volume means lower cost. And as you are scaling up and capturing economy to scale, you're starting to drive down the cost that you can then transfer to your customers. And like that expectation doesn't really exist in the mining industry if you want more of it, it's going to cost more. There's no economies of scale.

9:20There are economies of scale in the operation side of things. There are not economies of scale as the customer. Got it. Which is kind of an interesting dynamic and is completely contrary to how manufacturers are used to pricing their cost of goods, like their input materials. Where if you are buying more and you are scaling up, you expect your suppliers to also capture economy's scale that then translate into lower pricing, which then enables you to price lower for when you sell the customers. And so that, instead of this line, it was a big one that jumped out and that only really kind of starts to come to the surface when you start to actually engage with the mining companies.

9:51But what fascinated me about the mining industries that you are effectively solving problems at micron scale to start. You have to figure out how you extract, you have an ore that has 1 % of a target metal. And you are trying to figure out how do you extract that 1 % and get it to 100 % purity. And that fundamentally starts up the atoms. And then you have to like take a process that you develop that is that starts a micron scale and then deploy kilometer scale infrastructure. And going back to the thing that was exciting, which is scale, is that opportunity to work across those scales, which is exciting.

10:24So, I always found interesting about Tesla, especially early days working with Panasonic, but a lot of the know how the process knowledge came from Asia. So, I think a lot of time in Asia, just be curious culturally, and just looking at scale, as they sort of built out a lot of the early battery ecosystem and then farther upstream. What did you see there? Is it just more chemical engineers? Is it more support for that industry? Yeah, I think in the battery cell world, the precision at which you need to manufacture the product, like the tolerances on the final battery cell require a level of rigor and attention to detail that does have the cultural aspect to it.

10:57Like semi -conductors? Yeah, exactly. And so that was a big one. But also it's a long -term investment in Japanese, it's Kaizen, where you're like gradually improving over time. And in those super high precision, super high throughput industries, taking big swings where you make a radical change to one unit operation, that didn't really happen and in those companies, it was much more of an iterative improvement to the systems that fundamentally eventually enabled you to get costs down. But yeah, the labor pool is a big piece. And I think some of it is definitely cultural. Your time at Tesla, like Tesla famously, vertically integrated, very early, you're building a vertically integrated mining company, which we'll get into more details about later.

11:36But like what did working at Tesla teach you about vertical integration and why it matters? Yeah, I think as we started to scope more and more vertical integration, even like outside of like on further upstream in the supply chain, the thing that's really interesting about vertical integration is you fundamentally are thinking about the incentive structure that exists between kind of yourself and a partner. And so Tesla had to vertically integrate it early because people just weren't making the parts that were needed. It was a do -or -die, there was no incentive, there was no market for people to build the kind of like sub components that were required.

12:06And so ultimately Tesla had to vertically integrate from day one. And then the things that pushed increasing amounts of vertical integration ultimately was the incentive structure or misalignment where suppliers and partners weren't incentivized to invest in scale at the rate that we wanted them to invest in scale, they weren't incentivized to innovate at the pace that we wanted them to innovate and so you end up kind of insourcing a lot of that development that enables you to get to the product specs or the component specs that you want. And then it takes a lot of guts. Because at the end of the day, when you vertically integrate, you are transferring the risk profile of your partner kind of into your new expanded risk profile.

12:42And so you need to be really confident or at least believe that you are a better position to take on and manage that risk profile. When you're at Tesla and looking at developing relationships with all these global mining companies, as Tesla was scaling and looking for suppliers, like what were some of the key issues that you noticed from a market perspective? And then ultimately what led to Tesla pursuing further vertical integration? Yeah, I think the incentive misalignment piece between the industries and between a commodity industry or the mining industry and the manufacturing industry was the big misalignment that existed between the industries.

13:15The degree to which automation was absent was pretty interesting. There's a long period of time where minds make no money. And so a lot of capital goes into the expiration phase, it goes into the development phase. What a lot of people don't realize is that when you start the mind, there's actually sometimes years where you are just getting through the waste or drilling a shaft to get to the or deposit. it. And so any additional capital intensity associated with automation, oftentimes, the capital starts to get tired. And that additional automation equipment kind of falls by the wayside. And if you have the people there that can drive the trucks or drive the excavators or run the drill rigs, like you'll take that.

13:55And we're at this interesting and flexion point now where those people are less and less available. The mining industry has kind of been taking on the head for a long time. It's not been a sexy industry that everyone wants to go into. And so the labor pool is contracting. It's shrinking. And it's put But the trade's an it's the engineering skillsets. And the first things that mining companies say now is that the labor pool is one of the biggest challenges that they're trying to solve for. So that was apparent, and on top of that, these mines are not exactly in downtown Manhattan. They're in remote locations.

14:23Where have you gone? Have you been on site before? Yeah, of course, Indonesia, Australia. Was it actually like, people see pictures? What is actually going on? It's a lot calmer than you might expect. You're usually working a couple of faces and you have excavators or front end loaders that are picking up dirt, they're taking them to the unit operation and it's not as rambunctious and crazy as you might expect a mine to be. And that's in Australia and in Canada. It's not this like buzzing atmosphere. In developing countries it's a little different. There's definitely a different degree of automation.

14:56Obviously we've come a long way from people with picks and shovels. And so when I say automation is absent, it doesn't mean there aren't like heavy haul machinery that is driving around the sites. But there's a lot more people activity when you go to operations that are in Indonesia or in Africa. But yeah, been to most continents. Why did you leave Tesla to build Mariana? I spent a long time kind of like building businesses within Tesla was early on the sell manufacturing side was early on the cathode manufacturing side was early on the refining side of things. And what really excited me was always pushing further and further upstream.

15:31And I do think that we are at this critical and flexion point where not only is the labor pool going in the opposite direction of demand in the mining industry, but AI and ML are getting to the point where it hasn't been that long, right? Like the AlphaGo moment was kind of in 2015, 2016, and people were using reinforcement learning to kind of like, there's a paper from 2008 on reinforcement learning for like helicopter control. But we're at this point where the compute and machine learning, reinforcement learning, do really enable you to go know humans in a loop and how a lot of these plants are controlled.

16:04And as you build more of that large scale infrastructure and see the problems that humans have to solve on a daily basis, it becomes pretty obvious that these are problems that humans aren't best positioned to solve. These are large multi -variable optimization problems that are all as perfectly poised to solve. And then on the construction side, that is an entirely different story. I think construction, there's a lot of workflow, automation opportunities and there's also tons of menial tasks where people are fat -fingering data between databases. The data systems are completely disaggregated and LLMs are presenting this opportunity where we can start to and again this is like a two -year thing really and it's just gonna get better and so the opportunity to build kind of like from scratch no legacy systems and have some control over the destiny of the company that we're building that's just an exciting opportunity.

16:52Just to level select what is status that's quote in the industry today. What is like the BHP and the reos of the world do? For some of the stuff you're talking about, like from the software perspective, like in terms of... They have digital innovation arms. They do have digital innovation arms. I think that the freeports and the Rio Tintos and the BHPs, they outsource a lot of that. I think that they've like gradually started to hire more and more folks. They can do more internal things, but you have McKinsey, you have Palantir that basically acts as consultants. And they will look at the large data sets and they'll kind of provide recommendations.

17:21some percentage of those recommendations, oftentimes sub 50 % are taken. And what's interesting about what you want from the ML models or the RL models is that you actually want them to tell you to do things that are counterintuitive because humans are naturally going to find like a local optimal operating condition. And it's very risky to take shots outside of something that is currently working where there's billion dollars online. And that culture of trusting the counterintuitive recommendation from the model is one that we want to try to build, and it's hard to build that within large companies.

17:55I think on the construction side, when they build new projects, they're building five, 10 billion dollar projects, and so they are always bringing in an EPC and kind of like throwing that over the fence to the EPC. In the mining industry where it is a bespoke plant, like it is custom, and you kind of need to think about the refinery and the mine and the processing facility as the products. And when you outsource that, you lose a lot of control of what you eventually are going to inherit and operate. Then EPCs, that model has shifted away a little bit from a turnkey, like we'll deliver you a project.

18:28It's moved towards selling hours and selling man hours and selling reports, especially in the mining industry, where it's like they'll do a pre -fisibility study, they'll do a feasibility study. There's a lot of over -the -fence and outsourcing that happens in in the large companies. And some of that comes from the talent acquisition challenge that the mining industry has faced over the last 20 years. Again, the mining industry has not been this magnet for talent. And what that means is that even if they are able to hire kind of like the best in class machine learning engineers and the best in class software engineers, they're not gonna stay.

19:01They're gonna run into the wall of bureaucracy and they're gonna have higher paying opportunities in ZAS, Fintech, AdTech, and they're gonna go chase that. And so it's not just attracting talent, it's retaining talent that has been a big challenge in the mining industry and that forces kind of like an outsourcing of a lot of the things that should be court today. I mean, we've seen this from the investor side like there are a lot of really exciting new technologies being developed for mining and a lot of incredibly impressive startups that are building for various pieces of the mining life cycle during whether it's autonomous vehicles or drilling or other various software and hardware tools for mining.

19:37but the challenge seems to be, like, how do you get these kind of calcified, large pump vents who operate in a very decentralized way, have very low risk appetite, and not a strong internal culture or affinity for tech. Like, how do you get them to adopt them quickly? Like, if you're a young startup, you're sort of at the back -end call of this behemoth, and you have very little control over your own destiny, which I think has made it really hard for tech to kind of penetrate this market up until now. That's at least what we've observed. Yeah, I mean, calcified is a good word. I think the way that there's construction companies and mining companies, and really a lot of big companies, is that the way that they'll identify and evaluate risk is fixing the status quo or making like a step change improvement in the status quo kind of requires doing like a thousand things.

20:22But you'll evaluate risk on each individual thing of that thousand things. And the downside of each individual thousand things is that the plant goes down, which is a multimillion dollar event. And so you're really not incentivized to change things, like even small changes could result in multimillion dollars of loss. And you need to kind of approach it of like, how do I do the thousand things all at once so that I'm not stacking incremental returns on innovation with the same risk every single time. And that's where kind of like spot technical solutions are challenging to sell into the mining industry.

20:53And they'll do pilots, they'll definitely do a pilot. Like there's no skin off there back to do kind of like a pilot, but you'll end up doing a lot of pilots and because they don't build enough plants kind of sequentially, like they'll build one big mine every five years, if that. And there are just aren't a lot of opportunities to get into a commercial scale application. And if you don't tie that perfectly where like your pilot plant was five years before, the commercial scale plant was planned for, like you're not going to be a nut one, so you'll be in the next one, which is five years later.

21:21And so the pace at which the industry moves in terms of deploying commercial scale infrastructure The structure means that there just isn't a lot of opportunity to get new tech into commercial scale applications. And so there's a lot of folks that are doing like SaaS products, which is kind of the lowest -cost way to generate uplift in a mining project or minerals or finery. And the like barrier there is ultimately, how do you get the operators to trust the SaaS tool from this small company that is trying to kind of tell you how to run a plant. And the culture is typically don't touch my things, don't touch my cash register, and what do you all know about running a mine?

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21:53And it does stack up, I've been calling it a death spiral for a lot of the folks that are trying to sell into the mining industry because it's hard. Just to like step back a little bit on the geopolitical context. The stuff you're describing, I think very obviously true with a lot of Western companies, but at the same time a lot of Chinese companies that have sprouted over the last 20, 30 years have grown rapidly. Curious, why do you think that is? Yeah, I mean, I think that there's like a lot of top down and early recognition that critical minerals were going to be critical. and needed to be supported.

22:24And so, like, shouldn't kind of, like, that everything around policy and everything around, kind of, like supporting companies to go and deploy both infrastructure domestically and infrastructure internationally to kind of, like, secure critical minerals build infrastructure that secures a position, like, that has definitely happened. But I think that what people often don't talk about enough is that the talent pool is insane. Like, it is not just a large talent pool. It is a large -scale, experienced talent pool. I was in Indonesia in February. and was kind of visiting one of the recent Chinese nickel refining operations.

22:57And so they buy or they also have some mining operations, but they had 13 ,000 people on site during construction and commissioning. And if we were building a refiner in the US, which we did, it's hard to mobilize a tenth of that realist. And it's not just about the number of people. It's about being able to iterate on every individual work front as fast as humanly possible. And we just don't have that label. 15 years ago, or 20 years ago, with the same companies that were big now, have been big then, where is kind of the evolution of the space event? Yeah, I think that there's been like a clear splintering on kind of who does the expiration and who does the development.

23:32Like right now, the industry is set up where junior mining companies switch domain, they explore, go and sometimes they'll get maybe a resource from a major mining company that's held in their portfolio for a long time. But it's like a different risk -reward profile than what the mining majors are ultimately looking for. And so you have this junior mining ecosystem that sometimes is well funded and sometimes is competing for capital with the cannabis industry in Canada. And they're taking shots in the dark. And there's a lot of work that's going into trying to make that expiration activity more intelligent.

24:00Streamline it drill less expiration holes while still being able to interpolate or extrapolate what is in between those drill holes. But it's a you're going out in kind of the middle of nowhere either it's really far north in like the Arctic Circle or the Yukon or it's overseas in Africa and you're doing expiration or it's in Southeast Asia or in South America. And those folks, like they have one job, which is to define a resource and pump up its value sufficiently to flip it to a major. And there's a lot of companies that aren't able to discover a resource that is either large enough because the big mining companies, like they wanted to ploy large amounts of capital.

24:34We're talking about like multi -billion dollar investments. And so they won't really look at projects that don't have the scale that kind of enable them to underwrite their own inefficiency. Like they want to build really large infrastructure that enables them to capture the economies of scale. And so there's actually a really long tail of mining projects that don't have the scale that would justify getting acquired at a major premium. And so they'll go into this kind of orphan period is what it's called in the industry. And it's hard for them to break out of that orphan period. And that's kind of where we see our ability to kind of step in as a more efficient builder and operator is kind of take these, what the industry calls sub -scale assets, but we see metal there.

25:10and come in and bring those into production as we kind of are building the platform and then eventually scale into the same scale that the big money companies are operating at. Your thesis being that you can get the metal out and process it into a product that you can sell more efficiently than the majors such that it's economically viable. To offset the scale advantage. Yeah. I think there might be a good opportunity then to talk a little bit more about what is Mariana's product. You said a few minutes ago, you're not a SaaS product. What does it mean to be a diversified metal and minerals company, technology enabled mining company, give us a little bit more detail?

25:47So we're a vertically integrated software first, minerals project developer and operator. And so we focus on the back end of the minerals value chain, which is actually doing the detailed engineering, getting through the permitting, building the asset, commissioning the asset and then operating the asset. And going back to some of what we were talking about around the labor pool, like those labor pool shortages exist in construction and they exist in mining. Like, they're felt very, very intensely. And so our fundamental thesis is that with a contracting labor pool, you have to start with an awesome team.

26:18The table stakes is that you build an awesome team. But how do you enable 200 people to do what 10 ,000 people are needed to do today? At least on the, like, parent co -sider things. And that comes from leveraging the recent advances and LLMs to automate workflows in the construction side of things, and the engineering side of things and the procurement side of things, which take an insane amount of time. You make a lot of lists and you fat finger a lot of data between databases. And that is all about reducing churn in construction. Churn in latency. Latency is one thing that I think people sometimes don't appreciate from status quo, construction like large scale mega projects is that what's happening in the field and what the back office kind of sees or what the executive team sees or what the project director sees.

27:00There's a three -week lag, generally, for like really large construction projects, where you are trying to aggregate data from all the different contractors and all the different parts of the facility into a consolidated integrated schedule, which you can then make decisions off of like, how do I prioritize what I'm doing today? And the way you run in between those three weeks is people stand in circles every morning and they say, what are you doing today? What are you doing today? What are you doing today? And they go off and they do the thing. They'll send a very brief progress report back and it takes a long time to then take those progress reports and actually measure progress us so that you can re -evaluate priorities and understand kind of like how the project is trending.

27:37And so we're really trying to accelerate and democratize access to data fundamentally and run construction projects like manufacturing facilities. And it starts there. And the reason construction and mining are so kind of integrated and some people might disagree with me, but like a mining project is a big civil construction project, it just never ends. And it's more of a deconstruction project. Yeah, that's fair. Well, you do, when you're... I guess you have to make a deconstruct pile. You're building piles. Okay. But there's actually a lot of similarities in kind of like just moving the dirt for like site prep.

28:08And the same kind of like software stack that is enabling you to get feedback from the field live is the same thing that the mining industry struggles with. Mining companies will lose equipment, especially in underground mines that are like these like deep mazes and the industry is getting better at having like actual location sensing on like where the equipment is. But losing equipment in the mine is like it used to be a super common thing. But, you know, we start with construction and then we start to get into the second core software stack is what we're calling plantOS. The construction stack is capital projectOS and plantOS is really aimed at removing humans from the loop and deciding how the chemical processing operations and the refining operations work.

28:45And big refineries are effectively big robots. You have the sensing and telemetry, you have the actuators to control how the plant operates. and imagine like teleoperating humanoid robots like forever. That is what the refining industry and the pressing industry has been. And there's obviously a PID control loop that kind of maintains that point, so you can maintain temperature automatically, maintain pH automatically. But the thing that really matters is that the feed material to the pressing facilities is constantly changing, because the or body is changing every time. And so the way that the industry manages that today is they will blend the feedstock to minimize variability that's going into the pressing facilities and that enables them to minimize the amount of change that has to happen on a processing facility.

29:25So we're trying to flip that and say, okay, if we build a hyperdynamic and highly flexible refining circuit, ideally without adding a whole bunch of cost, what does that do to optimizing the global operation from the mine to the refinery? But it's first aimed at reducing region consumption, reducing energy consumption, and Google kind of proved this. They bought DeepMind in 2016, 2017, And one of the first things they did was throw the deep mind team at automating and optimizing the data center thermal systems. So air handler, chiller, cooling tower. And that's not a super complex system. You have weather, which is a factor.

29:59You have loads within the building, which is a factor. But you ultimately have nine control variables between like airflow rate, supply or temperature, the cooling water, temperatures and flow rates, both in the chiller system and in the cooling tower system. And just in that relatively simple system, they were able to reduce energy consumption by 30 % or 30%. Yeah, it was like 40%. 40%. Yeah. And it happened relatively quickly. And so that's the opportunity when you remove humans from making the decisions on how kind of like these process systems operate. That's the opportunity. And then when we look at kind of refining and processing facilities, that's like a thousand to control variables.

30:32And it's no longer single pass. Because what's really interesting about minerals refining is that you never want to lose the metal, right? Every atom that you lose kind of in the processing facility is another atom that you have to So recovery in the refinery is actually like the biggest lever when it comes to cost. And so what that means is that the upstream unit operations think of a refinery as like 20 unit operations kind of all in series in a relatively simple refinery. The upstream operations obviously impact the downstream operations because if you're changing the process conditions in the upstream operation that changes what the downstream operation is seeing.

31:04But the downstream operations will recycle the reject stream back into the upstream operations. And so it's this big interconnected web, and it's a high latency web also, where if you make a change in one part of the circuit, you may not see that change cascade for another 24 or 48 hours. And when we're commissioning refineries like the world, that latency ends up being a major driver of the time it takes to bring a refining operation to spec and eventually ramp it to throughput. There are some refineries that were built recently that are still not commissioned. They were built like three years ago.

31:37But the Chinese companies are doing it in six months. And a lot of Western companies, it takes two to four years. And that stacks up where we need to build like an insane number of mines and refineries. And if you are kind of four times longer or five times longer, every time you build a refineries step of the process. Yeah. And so we're trying to bring down the time that it takes to bring the refineries to spec, basically through put and hitting the kind of like output requirements of the product that you're making. And then ultimately you start this historically very long of gradually bringing down the cost over time.

32:10And that's something that we think that reinforcement learning is going to do quickly, much, much faster, kind of like in line with what Google demonstrated with the thermal systems and data centers is achieve global optimal operating conditions on an order of magnitude faster at timescale. So how do you think about like, you're building a company that minds and refines a product? There's a lot of tech that you can interject at essentially every step of that process. Like, how are you deciding what to build, where to partner, what are you developing in -house versus where are you going to market?

32:43Yeah, I think at the beginning we're focused on how do we take kind of commercially demonstrated unit operations and be a better integrator and a better like operator of that integrated circuit. And so focus on the software systems that enable you to kind of control the plant more optimally. And that's generally what project level financing parties want to see also. Like it's hard to get project finance on a first -of -a -kind facility where you're demonstrating a new unit operation for the first time. And so we think that as we're entering the market, the right place to start is take commercially demonstrated individual unit operations that operate globally and go after the uplift that's available just by being a better integrated operator.

33:20There's a whole bunch of bottlenecks in building these facilities that we will need to solve and the industrial supply base just for manufacturing tanks is broken. Like there's specialty. That's a new one. Like things that we take for granted to just take a really long time. If you wanna not go to China for sourcing that equipment. And that has a big impact on the operating side of things too, where the supply chain for like a new pump in Australia could take 30 weeks and getting that exact same pump, but with a mine in China, it shows up in a week or three days. And so that entire industrial like equipment supply base, we're gonna have to look at some point.

33:57And that's obviously a much bigger bite to go after like commodity equipment manufacturing. You're not gonna vertically integrate to be a mining equipment manufacturing company. I don't think so. I hope not. You'll let me know. This is the incentive structure of the partners and the suppliers and is it required or not. I think there's a whole bunch of companies that are working on awesome novel process technologies that have not quite gotten over the hump trying to sell to the big mining companies. We want to be the customer that helps accelerate commercial deployment and the partner that helps accelerate commercial deployment.

34:28One of the big issues that comes up when you're deploying new processing technologies is is that part of the reason why it takes a long time for it to get to the point where it's commercially viable other than all the headwinds from the industry being conservative and processed driven and all those things, is that humans have actually never operated that processed chemistry at scale before. And so you'll learn a bunch of things at pilot scale, but pilot doesn't really tell you what's happening. I get to train people. You have to train the people to operate it. It's like new environmental things that might come up depending on the chemical that you're using.

34:58And that scale jump is actually something that we think that RL will enable with a pretty meaningful pace adjustment, where you don't need the humans to kind of like fine tune the process conditions around a new process chemistry, because the plenty of us is doing it. Ryan and Aaron, how did we approach this industry? Is this a space that we spend a lot of time thinking about or thinking about opportunities in the space or how did we approach it? We've wanted to do a mining investment for a long time. When you think about venture capital, We care about massive markets and there's not that many massive markets left that have been sort of like largely unpacked by technology and mining sort of screams.

35:39One of the largest markets in the world, very little adoption of technology. So over many cycles, we've gone out and spent a lot of time meeting companies. And as I mentioned before, the challenges, how do you sell a point solution or a point piece of technology into this industry that has very little incentive to adopt it. And it also has a very complicated geo -political dynamic where you have a very large global player with their hand on the scale. We put out a piece a couple weeks ago around our thesis and mining and why we think of vertical mining company is the answer because we actually do believe you have to control every single piece of the entire journey, the entire life cycle of an atom of metal end to end to actually be able to build a tech company here.

36:26This is not about a point solution for one particular part of the process in order to actually capture the gains in efficiency and build a feasible business. You really have to own the entire process end to end. The only thing I'd add there is that this is the intersection of geopolitical urgency and tech. To what it's stuff's turners been talking about, is like now we have technology that can actually go and disrupt this. But also as a talent base, people coming from companies like Tesla, SpaceX, and all other sort of hard tech companies working in sort of dirty spaces, is willing to go out in the field and actually, yeah, roll up their sleeves, go out in the middle of the desert and work on this stuff.

36:58So now's the time to build this company. And the political tail winds are there. Even my conservationist mother, who I think if like we had this conversation five years ago, she would have clutched her pearls. She isn't wear pearls, but she would have clustered her pearls at the idea of domestic US onshore mining. I think broadly speaking, the American public and certainly the government has come around to the idea that metals are in every single thing we use as consumers. Our supply chains are highly reliant on China. It's a huge problem. We have to figure out how to address it. And that means investing and mining in the US again.

37:31We mentioned like rare earths, you mentioned lithium and things like that, but there are many different critical minerals. You talked about a little about in the very beginning, but specifically what are the interesting ones for you? How does that map to sort of what people see on the headlines and what are the business opportunities are? Yeah, I mean, when we look at what needs to happen in the next 10 years, and forecasted demand will only materialize if the supply is there. So we'll see if that forecasted demand materializes. The metals that actually need to grow the most by mass flow rate are the big metals.

37:59We need a lot of aluminum, we need an insane amount of copper, we need more iron, we need more zinc. What are some of the things that these metals are in? Yeah, sure thing. Iron goes in everything that is infrastructure. We got iron, we got iron for them. Zinc is one of the people's sleep on, because you actually have to galvanize a lot of that steel. And so Zinc oftentimes kind of pops up every once in a while, as being something that we really do need to continue to focus on. Copper is the workhorse of this push to electrify everything and to just grow the grid to be able to supply it, AI to be able to enable accelerated renewable penetration for EV penetration to happen, like you're going to need a lot of copper.

38:33Aluminum is one that I think is underestimated, like people underestimate kind of its importance. It's actually like the number one most consumed metal in defense applications, like the grid is, people talk a lot about copper, but there's a lot of aluminum conductors in the transmission lines that are critical to actually growing the grid capacity and in automotive obviously aluminum's big. Magnesium has a whole bunch of defense applications potentially could get more into automotive applications and like for lightweight metals. Lithium needs to forex in terms of production capacity in the next 10 years, roughly, in order for the batteries that we want to build to be built.

39:07Well, we're all about batteries, so. Right, right, right. And then, Nicole is a big one, I think that what has happened in nickel in the last five years is Indonesian production capacity has scaled to the point where it's now something like 70 % of global nickel comes out of Indonesia. And a lot of that was on the back of like meaningful investment from China to be able to kind of expand production capacity in Indonesia and then also do more of the downstream processing in Indonesia. And nickel goes in everything that is specialty alloys, anything that needs high temperature or corrosion resistance.

39:36And also is like kind of the unsung hero of high energy batteries where these lithium -transition metal oxides which are high nickel. Manganese is important. Manganese goes into a lot of alloys and also goes into batteries. The uranium if decision is going to continue to grow and we're going to continue to like deploy more nuclear capacity in the rest than uranium is going to be needed. It's a long list and the rare earths they're important. Obviously they are omnipresent in like everything that we use. But they show up as a relatively small on a volume basis when we look at kind of the stack of metals that we need to mine.

40:08Definitely, we need a ton of process innovation in how rare are refined. Solving extraction circuits are kind of like the status quo. The chemical intensity is high and the recovery is relatively low. And the know how is kind of like highly concentrated in China. But it is a little bit of a frothy market right now. And so being a diversified minerals company kind of enables us to pick our spots and areas where it makes sense. like these things still do move on commodity cycles. And you actually want to be building infrastructure at the bottom of commodity cycles, not at the top of commodity cycles.

40:38That's the Warren Buffett quote of Invest when there's blood in the water. Like you want to be coming into metals when they are at this trough, really, where no one is investing in them. They still have a macro long term critical point with them is exactly in this position right now. And that's why we're focused on lithium. Copper just has this macro trend that is pretty hard to ignore. We're just gonna need an insane amount of copper. where copper grids are going down globally, which means that our ability to extract copper from those ores is gonna get harder and harder to extract copper from those ores.

41:07And that's where the Planto S -Hide of Things we have a high degree of confidence that we'll be able to step in and optimize the refining circuits to still be able to extract copper from these lower -grade ores without seeing meaningful kind of cost increases. So everyone knows people here takes forever to get a mine started. I don't know how many new greenfield mines we've developed in the United States in the last decade. Not many. Yeah. And then Australia and Canada have been able to do this faster, which is interesting. You don't know Canada for moving quickly. What are some of the bottlenecks there?

41:34What does America need to do to accelerate this as one of these companies trying to not only mine, but also refine in the United States? Like what needs to be done? One thing that folks don't always see is actually the permitting requirements for exploration. So if you are exploring over on federal land, if you're exploring over more than a five acre parcel, you have to submit like a plan of record or a plan of operations that needs to be approved by the BLM before you can start to expand and explore over a larger piece of land. And so bringing down the permitting thresholds and the permitting burden associated with exploring, like that is why we have such a relatively small rare earth resource.

42:09It's like it's not because there isn't, like the US has tons of natural resources. And the kind of like USGS estimate for like the US reserve on rarest just picking on that, like that is tied to lack of expiration activity, not necessarily fundamentally like a lack of kind of geology presence. Yeah, we haven't either. We haven't looked forward towards, Yeah, it's hard to find in high concentrations that are mindable, which we're trying to drop the percentage requirement that makes something economical. But it's also that there's just a lot of permitting burden to be able to actually go into play droids to go and actually explore.

42:40And then the government currently is doing a good job of highlighting the importance of the minerals industry. And you're definitely seeing a little bit of a tone shift over the last 20 years. That is much more supportive. There's way more tailwinds when it comes to making mining viewed in a more positive light in a critical light, and that will help to solve some of the talent pool problem, where people that are awesome, they want to go build things. They don't want to go and work on a project that sits around for five years and maybe gets permitted and maybe doesn't. They want to go work on hard problems where they can see the impact of the work that they're doing.

43:13And so if we're getting in the way of enabling projects to get built, that is actually a major deterrent for talent, because they want to actually see the like output of their work. And then I think the permitting requirements broadly for going from a discovery to an operating asset. There should be a big focus on efficiency in reviewing environmental permits. There should be a big focus on streamlining those workflows in the back and forth between field offices and state offices from the BLM just focusing on the federal side of things. Because the way that projects get permitted right now is you'll throw like your environmental assessment over the table and then they'll go and they'll divvy it up between a whole bunch of experts or like kind of consultants that they bring in to review the permit.

43:51And they'll get back to you eventually at some point. But there isn't a lot of visibility into how they are progressing with reviewing the permit applications. And discussions are getting more bilateral. And again, there's been definitely a change with the new administration where there's a lot more accountability on the permitting offices. But there's tons of room for making those reviews more efficient. And again, LLMs will make it more efficient. We just need to penetrate that side of the federal bureaucracy and enable people to review things faster. What else, aside from kind of permitting efficiency, what are other things that if you could send a list of recommendations to the government for what they should do to support the US mining industry, what would be your top three?

44:30Yeah, I think supporting the demand side is probably like the biggest lever. And if you want to mobilize kind of private capital into the sector, having some level of support on the demand side is major. And so that's offtake agreements with floor pricing and they did this just now with MP materials and that ideally provides some stability on the revenue side of things so that investors like there's trillions of dollars of capital kind of like dry powder just sitting around waiting to be deployed. It is historically kind of avoided the mining industry because of the market price uncertainty. And so as soon as you provide it's a commodity cycle and what if you're building at the wrong time and yet the infrastructure funds are not the ones that are here to play like the intelligent about the commodity price cycle like they're looking for a new type of returns.

45:07And so those folks would mobilize if there were more demand side support from the government, either providing price floors or fixed pricing for critical minerals that you're trying to incentivize more production of in the US. Participating in the capital stack is important. I think lowering the hooks or the extra burden that comes in with receiving government funds is important. And like some government agencies probably have more leeway to do that. Like the DOD, obviously, again, just did this big deal with MP materials. And actually it went all the way to participating in the cap table or as an equity holder.

45:40But when you receive federal funds from the DOE or if you receive federal funds from like on the debt side of things from XM, it comes with some like additional burden sometimes. If you are building on state land and you just need a state permit and then you bring in federal funds, you now bump your permitting requirement to a federal level permit. And that's the NEPA process, which again, the NEPA process wouldn't be as burdensome if there was some more efficiency on the permitting side of things. Middle deposits, specifically the high grade of middle deposits, don't obey borders. Is there a broader international strategy here?

46:11I mean, it would love to think we can mine and we'll find everything in the United States. But obviously there's a lot, Australia, Canada, Latin America, Africa, underwater, sea floor. What is the overall strategy in your mind? We're starting in the US because it's closer to home and we're focused on developing a platform that we can scale off of. But at no point have we told ourselves that the US is the sole focus. Like you have to be able to bolster the company to be able to operate internationally if you want to be able to scale beyond the resource base that the US has available today. And so more expression is going to happen in the US.

46:45We'll probably discover more resources and that pool will grow over time of projects that we can build in the US. But yes, we are absolutely going to expand overseas and underwater maybe. When we look back a decade from now, what's the single clearest indicator that Mariana has achieved when it's set out to do? We won't be as worried about our ability to secure the critical minerals that we want to secure because we will have kind of rebuilt and established like an entity ideally that is able to go across borders to your point and build these projects cost effectively, time effectively and responsibly, ultimately.

47:20And the reason that we are so panicked about it right now is because we have fundamentally lost the ability to build large scale infrastructure and we have lost the ability to operate complex minerals plants. That's where we have lost. And we need to build that back. We want to build 10 projects in 10 years. Those projects will be an increasing scale over time, but the work will not be done in 10 years. What I think will have demonstrated that the 10 -year mission will have been accomplished other than building those 10 plants is that we will no longer be as worried about our fundamental capability to go and build this complex infrastructure.

47:52We will have unlocked it. Thanks for listening to the A16Z podcast. If you enjoyed the episode, let us know by leaving a review at ratethispodcast .com slash a16z. We've got more great conversations coming your way. See you next time.

From the publisher

It can take more than 15 years to permit and build a new mine in the United States - yet nearly every modern technology we rely on, from smartphones to fighter jets to AI data centers, depends on a steady supply of critical minerals.

In this episode, Erik Torenberg is joined in the studio by Turner Caldwell, founder of Mariana Minerals, along with American Dynamism general partner Erin Price-Wright and partner Ryan McEntush.

Turner spent nearly a decade at Tesla, working his way upstream from factory design to battery materials and mining. Now, he’s building a new kind of mining and refining company - vertically integrated and software-first- designed to meet the demands of our industrial future.

We get into why the industry is so broken, what it actually takes to turn rocks into usable materials, and how the U.S. can rebuild its capacity to mine, refine, and manufacture the things that matter most.

 

Timecodes: 

00:00 Introduction to Critical Minerals

00:45 The Importance of Mining in Modern Technology

00:58 Meet Turner Caldwell and Marianna Minerals

03:02 The Mining and Refining Process

05:10 Challenges in the Mining Industry

07:11 Turner's Journey from Tesla to Marianna

15:31 The Role of AI and ML in Mining

22:00 Geopolitical and Talent Pool Dynamics

23:46 Challenges in Junior Mining Exploration

25:30 Mariana's Product and Approach

25:47 Leveraging Technology in Mining and Construction

28:29 Optimizing Refining Processes with AI

37:31 The Importance of Critical Minerals

41:18 Permitting and Regulatory Challenges

46:08 Future Strategies and International Expansion

46:53 Conclusion and Future Outlook

 

Resources: 

Find Turner on X :https://x.com/tbc415

Find Erin on X: https://x.com/espricewright

Find Ryan on X: https://x.com/rmcentush

 

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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 a16z.com/disclosures.


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