YouSaid · the spoken record

Drew Baglino

lines on the record: 29
first: 2026-05-13
most recent: 2026-05-13
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“I think durable industrial policy that you can plan around. I mean, I'm very pro manufacturing in the United States, building these technologies in the United States. But my suppliers, my financiers are not as certain. So yeah, durable industrial policy driving in this direction. I think a concerted effort between the federal government and the states to identify areas of like energy and manufacturing build out. So you can get those co-located supply chains that I mentioned before would be a major win where the local jurisdictions are getting the yes with you rather than trying to find ways to say no all the way along the project. And then the last thing is I'm a fan of the electricity sector. I think it's enabling so much growth. I like the idea of a federal highway trust fund for the grid. It never has existed. That's sort of why we have this patchwork. How do we find a master plan of”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“I'll go first. I think if we have a minerals mandate, what we should do is we should look at everything that was done in the last 50 years for oil and gas when we had an energy mandate and we still have an energy mandate. And, you know, that's a lot of asks boiled down into one. But there are a lot of tools in the toolkit. And I think the most important thing is providing the right incentive structure that mobilizes the private capital markets behind these projects so that they're confident that there is a market in the long term and that the rug isn't going to get pulled out from under them in an industry that for the last 30 years really hasn't been built out in the U.S.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I would say that looking at analog industries is a great point. It's the, you know, for the mining industry, we're in a similar position where we're kind of, we've had 35 years of just meaningful attrition in the labor pool. But the oil and gas sector has a bunch of extremely good talent. And the software space, a lot of the underlying optimization algorithms that we're writing for our plants, they look very, very similar to the optimization algorithms that are in dog walking apps and Uber Write optimization, underwriting loans, ad optimization. And so there is transferability in the broader US talent pool. What's important is building that talent magnet. And it's an interesting one for us because the mining industry, like the villains in every movie are the resource extraction folks. And so we have to combat that and kind of say that.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“I think you have to be creative here in the US. We are reindustrializing, and I can't just go to a phone tree of paraelectronics manufacturing engineers or production associates. And, I mean, in my background, I was responsible for building along with my team, the 4680 program manufacturing facility, a 50 gigawatt-hour battery facility in Texas. And at that point, there were really not a lot of battery operations in the United States. So you instead have to look for analogs. So I was hiring people out of high speed bottling plants and out of, you know, syringe manufacturing facilities where they're making billions of syringes. And, you know, if you can get that creative hack going, you find that there's immense depth of talent in the US. And people are excited to work in new industries and you build that shared vision of the future. And I'm very positive about what you can get accomplished here.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, yeah, totally. Talking about kind of getting things done and building that team and Being able to hire. You know, one thing that jumps out is both of your companies are building real facilities that will create real jobs. Turner, your initial lithium and copper projects should add over 500 construction jobs and additional full-time jobs in the next 18 months, with many more as you scale operations. Drew, Heron is getting ready to build out its first large factory, which should also be something around 500 jobs. And that's just the first factory of many. What have you both learned about building an industrial workforce in the US in 2026?”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Those are in star comparison to a multi product industrial conglomerate that's selling the same thing today that they were selling decades ago or a mining company that's got 150 years of heritage. So that's a hard thing to replicate, not in a startup. And it's a hard thing to maintain within a startup. But I think it's really important to getting things done.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“In for talent, right? People like, oh, I want to work on that. That sounds amazing. And so you get to basically pick from the best already. And then you're in this high growth environment. You know, anybody who is excited about their career trajectory and having a trend in a good direction is also going to want to work there and then is also going to want to stay there and see it through because their impact is real. They see the impact of their actions on the outcomes around them. And then those outcomes result in their own growth, right? They move from one part of the company like Turner did to another or myself. I mean, my career history.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“I would add a couple more aspects of it. Many times in Tesla's history, the company's future success, really like whether or not the paycheck will clear, you know, was bet on the team within the company executing well. And that is a very focusing reality. And it drives people to do their best work. And like you end up needing to manifest that outcome, I hate to say do or die, but it's equivalent to that. So that's something that exists uniquely within startups. I mean, I think Turner and I are going to try to bring that, are bringing that to our own teams. And wouldn't be in a legacy industrial company. The other thing is there was always a clear vision of the purpose of the company. And that's like a be.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“And generally, a lot of companies will just end up, you know, they'll fail, they'll put it on the shelf, or they'll isolate it into a small team that goes and they don't get really tapped again. And Tesla does a really good job of just like barreling through the challenges as long as the outcome is worth it.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“I'd say there are three big ones and they might overlap a little bit with Drew's, but I think that the general techno optimism and what technology can do in these sectors is much, much higher at Tesla, right? The belief that you can innovate on systems that are old and archaic is like at the core of the company. The other is a general appetite for risk, which enables super fast decision making and enables the teams to move really quickly without being burdened with fear of making the wrong decision. And the last is a clear firm commitment to not giving up on projects that have the outcome. Like if the outcome is worth it, Tesla will like fight through the challenges of getting to that outcome. And I think what we see, at least in the minerals industry, is like folks will give it a shot for a year. People have tried to do autonomy and mining for a long time.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Most part, it is pen and paper and maybe 150 spreadsheets that are kind of scattered around an operation. And what you need to do in order to actually accelerate software uptake in the space is you have to go down into that operating layer, understand the core problems that they're facing, but then also really control the culture and make sure that the software tools themselves are designed for the folks that are going to have to be interfacing with them. And that's why we think that sitting the software engineers right next to the operating teams, but not in like a forward deploy engineer type way where everyone has the same incentives is what's going to yield the best results when it comes to trying to optimize these assets.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Tuning the temperatures, the flow rates, the chemical addition rates, the residence times of a highly complex refining circuit. And we don't have that labor pool here that has that embedded know-how that can walk up to a refinery and quickly get it operating on spec and then also manage that variability. And the same is true on the mining side of things where mining at those mine sites were making thousands of decisions a day. And when you don't have that labor pool of folks that are able to make the right decisions, the right thousand decisions, that can cascade into low productivity, low availability of equipment, and low utilization of equipment. But the software angle is really not enough when we kind of talked about how we're vertically integrated. The gate to software penetration, really not the gate, what sets the rate of software penetration and technology penetration into these plants and into these mines ultimately is the operating teams. It's like, what is the tech stack that they're comfortable with?”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, so we focus on the full chain from mining all the way through refining. You have to focus on the full chain. That handoff in the middle leads to a lot of actual market inefficiencies. But we're making a big bet on autonomy fundamentally. We're making a big bet on the fact that we can build systems that enable us to engineer things faster using large language models, accelerate the procurement life cycle, and do autonomous short interval control of construction operations where you're really doing resource balancing between what materials do you have on site, what's your list of tasks, and what people do you have on site and kind of like doing that optimization is all things that can be done algorithmically. And then we're making big bets on autonomy and refineries where we use reinforcement learning to actually remove humans from the loop and determining how refineries operate. And so when you have a highly variable feedstock, because the earth is heterogeneous, you need to constantly be”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Okay, Turner, the US government ranks onshoring critical minerals as essential to economic and national security. It's been in the news a lot for the last year, rare earths, critical minerals. These things feel very bottlenecked. So much of the processing capacity for these materials sits overseas, especially in geopolitical rivals, namely China. So given that vulnerability, how does Mariana minerals work help the U.S. reclaim not just the extraction side, the actual mining, but processing and supply chain sovereignty for critical minerals?”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, and I mean, when we're talking about jobs within factories, this isn't your grandfather or great-grandfather's supply chain assembly line factory floor. These are technical jobs may require training, but have skill and the pay associated with that.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I mean, today's factories are really automated. If you're building a new factory today in China or the US, the labor differential is less than 10% of cost of goods sold. It might even be less than 5%. But what actually is driving the competitiveness Of the different locations, in my mind, is it comes down to supply chain. And how do we develop co located critical supply chains in the United States where the logistics cost Much, much shorter and much, much lower because the logistics time is much, much shorter. If you look at China, they are so thoughtful about building these industrial areas Possibly need to build a car which has 7,000 parts in it. Was within less than a three hours drive. To that kind of co location of the supply base in the United States would be a major unlock along with automation.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“When you're working with your local jurisdiction, Can use the process A code compliant project to say no at every step They can say yes at every step. And so, how do we as a collective gain align alignment that building, reindustrialize in the U.S., building critical infrastructure and supporting our critical supply chains here in the U.S. is a good thing. Identifying ways to say yes at every step along the way and really accelerate these processes versus no. And when you do find that, it can be magical. That's been my experience.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“The other side of the wire, there's really been no change. The systems underpinning the grid today are the same largely mechanical systems that were developed over 100 years ago, and you don't get control, you don't get monitoring, you end up with an overbuilt system that is fragile. And also, there's not a lot of suppliers providing that equipment. And most of them are actually headquartered overseas. And that just doesn't seem like a Position for such critical infrastructure for us to have here in the United States. Does it take to get things done here? I think you can. I mean, I built the Mega Factory. With my team, and my team was super awesome. Lathrop, California in 11 months. It was a JCPenney warehouse 11 months later. First product came off the line, but ultimately what it comes down to is alignment.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“I had a front row seat to Amazing set of impactful innovations at the grid's edge, right? EVs becoming more affordable. Not just more affordable but more omnipresent around us. Building the supercharging infrastructure to support those electric vehicles and then working on grid storage. I was responsible for Megapak and scaling the energy business at Tesla. Along the way, what I saw was even though there's so much innovation happening at the edge of the grid.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Specifically behind China. But I would say also globally, we have a couple of decades of flag. The things that we can do at the top level are accelerate permitting. We can make project level finance more available. But that doesn't actually solve the underlying problem, which is that we are too slow at designing, building, and ramping up new minerals capacity, even after we have licensed operating. And so Mariana is laser focused on that phase.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I think plainly the US is 50 years behind on critical minerals supply. And so if we're not innovating in the critical mineral space, we will be perpetually behind. And the things that China does right now to accelerate.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“I can take that first. Will this power semiconductor capability that is enabling solid state transformers actually is the outgrowth of many decades of partnership between the federal government and academia and industry, both the DOE and the Navy have focused a lot on advanced semiconductors? So it just makes sense that the place where this technology was first developed should be the place where all the benefits are commercialized. The world's leading producer of silicon carbide, which is a key power semiconductor, is based here in the US. And so we should be leveraging the applications of that technology here first, manufacturing here at home. And if we don't, we're basically losing all the benefits that accrue from that technology to other countries. And I don't think we should do that.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah. So, first, thank you for having me today here representing the Heron Power team. So, at Heron Power, we build power electronics to accelerate the electricity sector. Over the last four decades, in parallel with the Moores Law Improvement of Transistors in Compute, there's been a similar improvement in power transistors. And over those decades, it's enabled more and more applications. We see them in our how we charge our phones, in telecommunications in data centers. But really, that improvement hasn't been brought to the grid itself. And in a time of growing demand for electricity for so many different reasons, all of them positive. And the fact that electricity growth and energy growth is correlated with economic growth and prosperity, we need new solutions. And luckily, the power semiconductor space is ready to bring those solutions. And I'm excited to do that at Heron Power. We're focused on building solid state transformers to use silicon.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“So, Mariana Minerals is a software first minerals mining and refining company. When I say software first, what that means is that about a quarter of the company is software engineers, machine learning engineers that are developing three core operating systems to accelerate project delivery and increase the amount of autonomy that we see in minerals operations and in refining operations. Capital Project OS is basically a product lifecycle management tool is the way to think about it, but that goes from process development, mind development all the way through engineering, construction, and procurement and doing a genetic workflow automation kind of through that stack. PlantOS is how we use reinforcement learning to control refineries, and MineOS is, again, how we use reinforcement learning to control do short interval autonomous control of mining operations. But we do not sell software. We are not a SaaS company. We develop, we engineer, build, and operate minerals projects. And so we have a copper mine that's operating in southeast Utah that's producing high-grade copper materials today, high-purity copper materials today.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“We increasingly hear concerns that AI will put an undue strain on an already faltering grid, will demand more energy than we can give, more build out than we can keep up with. And in many ways these are fair concerns. But rather than taking this at face value and putting our pencils down on progress, we see this as a call to action, an opportunity. We can do great things in this country. We have rallied around national projects before, accomplished things few dreamed possible, and we can do so again. This is the next chapter of American dynamism. If we want to rebuild the industrial backbone of the United States, we have to rethink the entire stack from critical minerals to energy generation to transmission to how we build and interconnect new infrastructure at this speed that it's needed.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Now, it's tempting to talk about the AI race as a competition of models and chips. But the truth is that 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. Every breakthrough model, new factory, an autonomous system that we'll talk about here today has a real world requirement underneath it. Materials, energy, and the ability to move electricity where it's needed when it's needed.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“The US power grid runs on mechanical systems designed before World War II. American Critical Mineral Supply sits 50 years behind China, and demand for both is accelerating faster than at any point in history. For decades, the bet was that innovation at the edge, better batteries, smarter software, faster chips, would be enough. It wasn't. The infrastructure underneath never kept up. Grid transformers are still steel, oil, and copper. Critical minerals still flow through refineries. The U.S. doesn't own or control. Two founders who built the megapac, the 4680 battery cell, and Tesla's global mineral supply chain, think the same playbook that rewired the auto industry can rewire the grid and the mine.”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“The world's leading producer of silicon carbide, which is a key power semiconductor, is based here in the US. And so we should be leveraging the applications of that technology here first, manufacturing here at home. And if we don't,”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Challenges of getting to that outcome. We're making a big bet on autonomy and refineries, where we use reinforcement learning to actually remove humans from the loop and determining how refineries operate”
2026-05-13 · a16z Podcast · Energy, Minerals, and the Physical Stack Behind AI · IDENTIFIED FROM THE TRANSCRIPT · source