View of Giga Texas factory floor from the conference room where the Getting Stoned podcast interview with Elon Musk took place, July 2022 [Photo by Gail Alfar]

Elon Musk Full Transcript: “This is Getting Stoned” Podcast at Giga Texas (July 2022)

Video: https://youtu.be/rQI2Ls32b80

In July 2022, podcaster Johnna Crider invited me, Gail Alfar, to join her for a relaxed, wide-ranging conversation with Elon Musk at Tesla’s Giga Texas factory. The chat was recorded for Johnna’s show Getting Stoned.

The three of us talked about some of the biggest ideas facing humanity: why we should make life multi-planetary with real urgency, the declining birth rate and its risks to civilization, poverty and homelessness, the power of internet access and education, Starlink’s role in disaster relief, Tesla Energy (including Megapacks), and the future of AI and Full Self-Driving.

It was a candid, unscripted discussion full of big-picture thinking and personal stories — including a memorable moment when Elon directly addressed the shadowbanning I was experiencing on Twitter (now X).

This cleaned-up transcript captures the full conversation exactly as it happened — easy to read and understand for anyone, no matter their background. (Elon even invited Johnna back for a Part 2 because we didn’t have time to cover every question!)

Full Verbatim Transcript

Elon: This is Getting Stoned. It’s a podcast about gems and minerals and I am not your host.

Johnna: This is Getting Stoned. It’s a podcast about gems and minerals and I am your host, Johnna Crider. On today’s episode we have a very special guest. Thank you, Elon Musk, for joining me.

Elon: All right.

Johnna: So Elon, I always find it inspiring when you talk about the light of consciousness. What does consciousness mean to you?

Elon: To the best of our knowledge, the only conscious life we’re aware of is on Earth. I’m conscious in the sense that I think I have self-awareness. We’ve never found microbial life anywhere else in the solar system, though it’s possible we might find some under the ice of Europa.

According to the geological record, Earth is about 4.5 billion years old and the universe is about 13.8 billion years old. It’s odd that only very recently has life evolved that can talk, write, and communicate sophisticated ideas. And only now has civilization reached the point where we can send life to another planet. A lot of people think Moon landings are fake. They’re not.

Johnna: I don’t think they’re fake.Yeah, they’ve actually brought back some cool minerals from the Moon and I kind of have one in my collection. 

Elon: I actually have a slice of a Moon meteor — a chunk of Moon that was hit by a meteor, smashed a bunch of Moon rocks, and some of the Moon rocks landed on Earth. And I’ve got a segment of one of them.

Johnna Crider: The Apollo mission brought back some Tranquilityite. And up until 2011, it’s called that because of the Sea of Tranquility. Yeah, and there was none found on Earth and then in 2011 some deposits were found in Australia. 

So I have a friend of mine sent me some deposits and it broke. And so it had big chunks and two little pieces, so I made the other two little pieces into art. 

Elon: But I mean it’s crazy how old the rock is. It’s like billions of years old. 

Johnna: That shungite I just gave you, that’s over two billion years old. 

Elon: That’s a long time, you know. Don’t hold your breath (laughter)

Elon: I mean it’s hard to even wrap your mind around that kind of time scale. A billion years — our lifespans are a flash in the pan. That’s true. Just like that. Shorter than a flash in the pan compared to galactic time scales.

So there are much things that one could say, or at least appear to be likely, which is that it appears that consciousness is rare. And it takes a long time for it to arise. And so, like I said, to the best of our knowledge we are alone. And so we have to accept the possibility that we may be it — at least in this sector of the galaxy or in the Milky Way perhaps. And if we’re it and this is the only little candle in a vast darkness of a little light of consciousness that got us lit, then we should really try to make sure that life does not go out. And we can’t take it for granted that it won’t. So we want to try to make it last as long as possible.

Elon: And I think we also want to try to understand the nature of the universe, meaning of life, where is it going, what does the future hold, just find out what’s going on in the universe. And so that means the more that we can expand the scope and scale of consciousness, the more we’re likely to understand the fundamental questions around the meaning of life and nature of the universe. And so I think that’s a good goal to have. And it’s a goal that I think can unite humanity because it’s a common goal as opposed to sort of infighting and “I want this big field of ice, I want this piece of land.” No, I want this piece of land. Well, you know, there’s a lot of land out there. There’s a lot of planets with nothing on them. How about those ones? Why fight over the little pieces when there’s entire planets out there and solar systems and stuff?

Elon: So I think it is a philosophy that withstands reason. I think there’s a solid reasoning basis for it. It’s really just a philosophy of curiosity, I would call it. And it’s also exciting, you know. If you think like… I mean the happy reasons when you wake up in the morning that you’re excited to be alive and you look forward to the future. And it can’t just be solving one sad problem after another. You know, what the hell’s the point? There’s no point like that.

Johnna: Right.

Elon: This is the first time in history that the window of opportunity has been open for life to become multi-planetary. It may stay open for a long time or a short time, but I think it would be wise to assume it will be open for a short time and take action now.

We don’t need to spend a huge amount of resources on it. Less than one percent of our resources would be enough to make life multi-planetary. We should be life’s steward in that sense, because the other creatures can’t build spaceships but we can.

This isn’t about abandoning Earth. We need to make Earth as good as possible. That’s what Tesla is about, making a good future for Earth. SpaceX is about making life multi-planetary. We need to do both.

Johnna: You would not believe what my cats can do. That’s all I’ve got to say about that! But seriously, I think we have a responsibility to protect the rest of the creatures on Earth too.

Elon: I completely agree. A reasonable approach would be to spend about one percent of our resources on making life multi-planetary and ensuring the long-term survival of consciousness and life as we know it. Tesla’s goal is to help ensure a good future for Earth. SpaceX’s goal is to make life multi-planetary and ensure the long-term survival of consciousness. Those are awesome goals.

Gail: Happiness.

Elon: I’ve mostly talked about the defensive, protective reasons for becoming multi-planetary. But what actually gets me most excited is the sense of adventure and possibility. It would be the greatest adventure ever, exciting and inspiring to see it happen.

Johnna: What you and SpaceX have done in Ukraine with Starlink inspires a lot of deep respect. You also helped Saint Charles Parish in my state after Hurricane Ida, as well as the villages of Tango. What role do you see Starlink playing in disaster relief? We’re going to have a lot of disasters. They’re predicting more hurricanes in my area this year.

Elon: In general, Starlink is not dependent on any ground-based infrastructure, so it can provide internet connectivity to areas hit by floods, fires, or earthquakes where the ground infrastructure has been destroyed. That’s extremely helpful for rescue operations. When people are stranded, they need to be able to say “I need help” or “I need rescue.” Starlink has provided that in a number of situations.

Johnna: When we had Ida, my power was out for a week. Communications in southeast Louisiana were completely wiped out. It just made me think Starlink would definitely help organizations like the Cajun Navy as well as others to communicate better, especially with government.

Elon: Yeah.

Johnna: The Musk Foundation has done a lot of good work. About a month ago I made this really long list of everything you guys are doing. What you did for Lake Charles after Hurricane Laura was phenomenal and saved lives. How do you see the Musk Foundation helping charities, especially toward disaster relief, in the next few years as the effects of climate change continue?

Elon: We try hard with the foundation to give away money in ways that are actually useful. Maximum number of cents on the dollar actually helping people in need. It’s way harder to give away money than you think if you care about it actually doing good. We’re scaling up more personnel in the foundation to go through fewer intermediaries so we can have the shortest path to helping people.

Johnna: Would you consider grants that help organizations that focus on disaster relief?

Elon: Yeah, we do provide grants to organizations that work on disaster relief.

Johnna: Last year you donated 100 million dollars for the XPRIZE competition to fight climate change. Which of the four categories, air, land, ocean, or rocks, do you feel needs the most work?

Elon: The larger problem is getting the parts-per-million level of CO2 in the atmosphere down. We’re going to have to pull it out of the air and store it somewhere. I think storing it in a solid form makes sense. The energy to do that has to come from renewables, solar, wind, geothermal. I’m actually pro-nuclear as well, except in locations prone to natural disasters.

Johnna: There’s a company called Project Vesta that uses peridot to do that, and some diamond companies are making lab-grown diamonds with carbon from the air.

Elon: I don’t think that scales very well, but it is cool to think about.

Johnna: Would you consider doing another XPRIZE when this one closes?

Elon: Yeah, absolutely. We’re constantly looking for highly effective ways to spend money for general social good.

Johnna: What accomplishments of the Musk Foundation are you most proud of?

Elon: We funded a literacy XPRIZE to figure out the best software on a low-cost tablet to teach people to read. If you can improve literacy, you improve everything about a society. That’s probably the best thing we’ve done so far.

Johnna: The declining birth rate. You often talk about this problem. It is a real problem. But there’s another problem I think plays a major role, and that’s poverty. What actions do you think need to be taken toward solving poverty that would help relieve some of that issue with the declining birth rate?

Elon: The declining birth rate is somewhat counter-intuitive, but generally the wealthier someone is, the fewer kids they have. I’m an exception, but it’s quite rare. It’s not really a money thing. In fact, it seems to be the opposite.

Even someone living at what we consider the poverty level in 2022 has access to things the richest person on Earth didn’t have 100 years ago.

Johnna: I’ve been homeless before while working two jobs. The idea of having a kid in that situation would terrify me. You can’t just throw money at it and solve it. There’s a lot of trauma involved. From my own experience, trauma is the number one cause of homelessness. That’s why I was asking what ideas you have that could point toward a real solution.

Elon: Literacy and access to the internet are fundamentally helpful. We have to think beyond just the United States. There are billions of people who have no internet access at all, or it’s very low bandwidth and insanely expensive.

These days you can learn almost anything online. MIT has all their lectures available, and many other universities do the same. You can literally have access to all the world’s information using just a simple phone or an old tablet.

Elon: This fact is really underappreciated. Before the internet, if you wanted to learn a skill you had to go to a specific school, get the exact books, or visit a library that might not even have what you needed. A few hundred years ago books were rare and expensive. The improvement in access to information is truly remarkable.

Johnna: I can’t imagine not having books! Google teaches really well, especially when I go to gem and mineral shows and have to look things up. Do you have any other thoughts on how to reverse population decline?

Elon: The population decline problem is possibly the biggest risk to civilization. A lot of people still think there are too many humans on the planet. That is absolutely not true. We could double the world’s population without any meaningful damage to the environment.

You could fit every single human on Earth inside the city of New York on just one floor. Earth is actually very sparsely populated with humans. There are not enough humans, far from being too many. Last year we had the lowest birth rate in recorded history.

Gail: Wow, yeah. I saw the statistics on your Twitter account.

Johnna: Yeah, so I don’t even see all your tweets half the time, even though I follow you. That’s the crazy part.

Elon: If you have the latest tweets? Because you have to switch because of the algorithm?

Johnna: I do switch.

Gail: I’m totally deboosted on Twitter. I’m everything bad. Search ghostban.

Elon: Are you serious?

Johnna: Yeah, shadow banning is crazy. It’s really bad.

Elon: What the heck’s going on?

Gail: I don’t know. I tweet really nice things but…

Elon: Exactly. You’re not like a hate monger. You’re the furthest thing from it. You’re obviously a super nice person. So what the heck are they doing?

Johnna: She got shadowbanned when she replied to me with a heart. It was you or Kristen. They replied with something really nice and got shadowbanned.

Johnna: Oh, it was you.

Gail: Lots of lots of love.

Johnna: Yeah.

Elon: It really sounds like someone on Twitter is doing something shady. That’s not cool.

Elon: Whoever’s doing that on Twitter, shame on you!

Johnna: Right, y’all need to stop! (laughter)

Elon: That’s not cool.

Johnna: Yeah, don’t shadowban Gail. She’s awesome.

Elon: Yeah, that’s so totally messed up.

Johnna: Alright, so let’s talk Tesla. There’ve been quite a lot of bills that have been kind of anti-EV or anti-Tesla going through state governments. What are your thoughts on how dealerships are trying to preserve their way of life instead of evolving with the market?

Elon: It’s to be expected that incumbents will oppose a new entrant. If they can’t win a fair fight, they’ll try an unfair fight. But if we have the people on our side and strong customer support, I think we’ll win most of the battles.

Johnna: Tesla Insurance is making a difference for customers who switch, and Louisiana has the highest average cost of car insurance in the nation. When will Tesla Insurance expand to all 50 states and Canada? And when will Louisiana get it?

Elon: Insurance is regulated primarily at the state level, so it’s a state-by-state thing. You have to jump through a lot of hoops in every state, and those hoops take a long time.

Johnna: …and the weakest part of Texas is the grid, and here comes Tesla trying to strengthen that weakest part.

Elon: The batteries are helpful even without sustainable energy because they can load-balance the grid. Power spikes, dips, fluctuations. The batteries can smooth it all out. The Tesla Megapack and Powerwalls can be really helpful for stabilizing the grid.

Gail: Could you talk a little bit about Distributed Energy Resources (DERs) and if Gigafactory Texas could be protected in the event of an emergency?

Elon: In terms of batteries, this is going to be a combination of large utility-scale batteries with very big installations like the one we did with PG&E at Moss Landing, and then at the local level the Powerwalls that collectively can stabilize the grid within a neighborhood. The combination of centralized Megapacks and distributed Powerwalls can have a very positive effect in making sure the power stays on.

Johnna: …and then we also touched upon AI.

Elon: On the AI front, Tesla is doing a lot with AI for Autopilot and Full Self-Driving. We’re making good progress. The goal is to make the car safer than a human driver, and in many situations it’s already safer. There have been cases where the car saved someone’s life because the driver had a seizure or was unconscious and the car pulled over safely.

Autonomy is going to be a huge benefit to society because over a million people die every year in car accidents. I think we can reduce that by at least a factor of 10.

On the broader AI front, we’re working toward artificial general intelligence. AGI. It’s not there yet, but progress is being made. Eventually digital intelligence could exceed human intelligence, and I think we need to be careful because AI could be an existential risk if not handled properly. So some regulatory oversight as a public safety measure makes sense.

But overall, I’m optimistic that we’ll be able to have AI that is beneficial to humanity. Optimus, the humanoid robot, is also powered by the same AI tech. So that’s another big thing.

Johnna: Wow. Well, thank you so much, Elon, for taking the time to talk with me today. I really appreciate it. And thank you to everyone at Giga Texas for making this possible. You’ve inspired so many people. Thank you.

Elon: All right. Thank you.

Johnna: And Elon did invite me to come back since I didn’t get to ask all my questions, so there will eventually be a Part 2. Thank you again.

View of Giga Texas factory floor from the conference room where the Getting Stoned podcast interview with Elon Musk took place, July 2022 [Photo by Gail Alfar]
Gigafactory Texas as seen from the interview conference room. [Credit: Gail Alfar, All Rights Reserved, June 25, 2022]

Elon discusses SpaceX potentially becoming a hyperscaler for orbital AI, the realities of raising massive capital, and the long-term physics required to scale significantly up the Kardashev scale.

Elon Musk with Dwarkesh Patel & John Collison – The Future of AI is in Space – Part 7: SpaceX as Hyperscaler, Capital Markets, and the Kardashev Scale (Full Transcript)

In Part 7, the conversation turns to whether SpaceX could evolve into a hyperscaler — building and operating vast orbital AI infrastructure and potentially providing compute power to others. John Collison and Dwarkesh Patel explore the capital requirements, the possibility of going public, and the deeper physics of long-term energy scaling. Elon shares his thoughts on speed as the ultimate constraint and what it would actually take to move significantly up the Kardashev scale.

Transcript:

Dwarkesh Patel asked whether the long-term vision was for SpaceX to become a hyperscaler — launching and operating vast orbital AI capacity and then providing (or lending) that compute power to other companies.

Elon Musk: “Hyper. Hyper, yeah. I mean, if some of my predictions come true, SpaceX will launch more AI than the cumulative amount on Earth of everything else combined.”

Dwarkesh followed up on whether this capacity would mostly be used for inference or training.

Elon Musk: “Will be inference already? Inference for the purpose of training is most training.”

John Collison then explored the business implications, noting the shifting narrative around a possible SpaceX IPO. He pointed out that SpaceX had long been extremely capital efficient, but the scale of building orbital AI infrastructure would require capital raises far beyond what private markets had demonstrated they could comfortably provide — even as AI labs were already raising tens of billions. He asked if going public was the logical next step and more broadly about the difference in capital availability between public and private markets, as well as whether debt financing could suffice.

Elon Musk: “Yeah, I have to be careful about saying things about companies that might go public.”

Elon Musk: “There’s a price to pay for these things.”

Elon Musk: “Yeah, there’s a lot more capital in the very general. There’s obviously a lot more capital available in the public markets than private. I mean, it might be, it’s at least, at least, it might be 100 times more capital, but it’s at least way more than 10.”

John Collison noted that highly capital-intensive sectors like real estate are typically debt-financed once they have predictable near-term revenue.

Elon Musk: “A clear revenue stream.”

John Collison agreed.

Elon Musk: “Speed is important. So I’m generally going to do the thing that, I mean, I just repeatedly tackle the limiting factor, whatever the limiting factor is on speed, I’m going to tackle that. So there’s, if capital is the only factor, then I’ll solve for capital. If it’s not limiting factor, I’ll solve for something else.”

Dwarkesh Patel observed that, based on Elon’s past comments about Tesla being public, he would not have expected Elon to see going public as the way to move fastest.

Elon Musk: “Normally I would say yeah, that’s true. Like I said, I mean, I’d love to talk about this in more detail, but the problem is like if you talk about public companies where they become public, you get into trouble and then you have to delay your offering and then you.”

John Collison noted that this was again about speed.

Elon Musk: “Yes, exactly. So you can’t hype companies that might go public. So that’s why we have to be a little careful here.”

Elon then pivoted to the fundamental long-term physics of scaling.

Elon Musk: “But we can talk about physics. So the way you think about scaling long term is that Earth only receives about half a billionth of the sun’s energy. And the sun is essentially all the energy. And this is a very important point to appreciate because sometimes people will talk about marginal nuclear reactors or any various fusion on Earth, but you have to step back a second and say if you’re going to climb the Kardashev scale and have some non trivial and harness some non trivial percentage of the sun’s energy, like let’s say you wanted to harness a millionth or a millionth of the sun’s energy, which sounds pretty small, that would be about, call it roughly 100,000 times more electricity than we currently generate on Earth for all of civilization, give or take an order of magnitude. So it obviously the only way to scale is to go to space. With solar, from launching from Earth you can get to about a terawatt per year. Beyond that you want to launch from the moon, you want to have a mass driver on the moon, and that mass driver on the moon you could do probably a petawatt per year.”

Elon discusses SpaceX potentially becoming a hyperscaler for orbital AI, the realities of raising massive capital, and the long-term physics required to scale significantly up the Kardashev scale. In Part 8, the conversation continues with more on the engineering and strategic path forward.

Elon predicts that within five years, more AI will be operating in space than currently exists on Earth, and discusses the Starship fleet size and launch cadence needed to support it.

Elon Musk with Dwarkesh Patel & John Collison – The Future of AI is in Space – Part 6: AI Capacity in Five Years and Starship Launch Rates (Full Transcript)

In Part 6, John Collison asks Elon to project what AI compute capacity might look like in five years — both on Earth and in space. The conversation shifts to the enormous number of Starship launches that would be needed to support large-scale orbital AI infrastructure. Elon shares his prediction that AI in space will surpass all terrestrial AI within five years and discusses the practical realities of achieving very high launch rates.

Elon Musk: “My prediction is that we will launch and be operating more AI in space every year than the cumulative total on Earth, which I would expect to take at least five years to reach. So we’re talking about a few hundred gigawatts per year of AI in space, and rising.”

Transcript:

John Collison shifted the conversation to a concrete five-year horizon. He asked what installed AI compute capacity would look like on Earth versus in space by then.

Elon Musk: Five years? I think probably if you say five years from now, we’re probably going to be launching every year in space the sum total of all AI on Earth, and then some. My prediction is we will launch and be operating every year more AI in space than the cumulative total on Earth, which I would expect to be at least sort of five years from now. A few hundred gigawatts per year of AI in space and rising. So you can get to, I think on Earth you can get to around a terawatt a year of AI in space before you start having fuel supply challenges for the rocket.

John Collison pressed for confirmation on the hundreds-of-gigawatts-per-year figure.

Elon Musk: “Yes.”

Dwarkesh Patel highlighted the launch cadence implied by those numbers.

Elon Musk: “Yes.”

Dwarkesh Patel continued, noting that delivering 100 gigawatts in a single year would require roughly 10,000 Starship launches annually — the equivalent of one launch every single hour, nonstop, from this city.

Elon Musk: “Yeah, I mean that’s actually a lower rate compared to airlines like aircraft.”

Dwarkesh Patel pointed out that there are a lot of airports around the world.

Elon Musk: “A lot of airports.”

Dwarkesh Patel noted the additional complexity of launching into polar or sun-synchronous orbits.

Elon Musk: “No, it doesn’t have to be polar, but there’s some value to sun synchronous. But I think actually you just go high enough, you start getting out of Earth’s shadow.”

Dwarkesh Patel asked how many physical Starships would be needed to sustain 10,000 launches per year.

Elon Musk: “I don’t think we’ll need more than. I mean, you could probably do it with as few as like 20 or 30. It really depends on how quickly the ship has to go around the Earth and the ground track before the ship has to come back over the launch pad. So if you can use a ship every, say 30 hours, you could do it with 30 ships, but we’ll make more ships than that. But SpaceX is gearing up to 10,000 launches a year and maybe even 20 or 30,000 launches a year.”

Elon predicts that within five years, more AI will be operating in space than currently exists on Earth, and discusses the Starship fleet size and launch cadence needed to support it. In Part 7, the conversation continues with more on the technical and operational realities of building large-scale AI infrastructure in orbit.

Elon Musk explains why SpaceX and Tesla may have to start manufacturing turbine components themselves and shares their aggressive plans to scale solar production.

Elon Musk with Dwarkesh Patel & John Collison – The Future of AI is in Space – Part 5: Turbine Shortages, Casting Bottlenecks & Scaling Solar Production (Full Transcript)

In Part 5, Dwarkesh Patel raises the question of whether the engineering challenges of building large-scale AI infrastructure might actually be easier in space than on Earth. The conversation then turns to the very real bottlenecks on the ground. Particularly the massive shortage of turbines and specialized casting capacity. Elon Musk explains why SpaceX and Tesla may have to start manufacturing turbine components themselves and shares their aggressive plans to scale solar production.

Transcript:

Dwarkesh Patel asked a central question: while Earth-based power challenges are already enormous, wouldn’t building in space introduce entirely new and unprecedented engineering difficulties — such as radiation hardening, orbital lasers, and other issues that haven’t been solved before? He wondered why anyone would choose these novel challenges over simply building more turbines on Earth, where established companies already know how to manufacture them.

Elon Musk: “I invite again, try doing it and then you’ll see. So like, the turbines are sold out through 2030.”

John Collison asked whether they had considered manufacturing their own turbines.

Elon Musk: “I think in order to bring enough power online, I think SpaceX and Tesla will probably have to make the turbine blades, the vanes and blades internally.”

John Collison asked if Elon meant just the blades or the entire turbines.

Elon Musk: “The limiting factor, you can get everything except the blades. They call the blades and vanes. You can get that 12 to 18 months before the vanes and blades. The limiting factor of the vanes and blades, and there are only three casting companies in the world that make these and they’re massively backlogged, it is Siemens.”

John Collison asked whether it was GE and the big names or subcontractors.

Elon Musk: “No, it’s other companies. I mean sometimes they have a little bit of casting capability in house. But I’m just saying you can just call any of the turbine makers and they will tell you it’s not top secret. They’re probably on the, it’s probably on the internet right now.”

Dwarkesh Patel asked whether, if it weren’t for the tariffs, Colossus would be running on solar power.

Elon Musk: “It would be much easier to make it solar powered. Yeah, the tariffs are nuts, so several hundred percent.”

John Collison began to suggest that Elon surely knew some people who could help.

Elon Musk: “We also need speed. Yeah, no, you know, President has his, you know, we don’t agree on everything and this demonstration is not the biggest fan of solar. We also need the land, the permits and everything. So if you’re trying to move very fast, I do think scaling solar on Earth is a good way to go. But you do need some amount of time to find the land, get the permits, get the solar, pair that with batteries.”

John Collison pressed further, asking why not simply stand up their own massive solar production, noting there is plenty of private land in Texas and Nevada.

Elon Musk: “As I said, we are scaling solar production. There’s a rate at which you can scale physical production of solar cells where we’re going as fast as possible.”

John Collison confirmed they were building the solar cells domestically at Tesla.

Elon Musk: “Both Tesla and SpaceX have a mandate to get to 100 gigawatts a year of solar.”

Elon explains the severe turbine and specialized casting bottlenecks and why SpaceX and Tesla are aggressively scaling their own solar production to 100 gigawatts per year. In Part 6, the conversation continues with more on the engineering and infrastructure challenges of building AI at planetary scale.

Elon Musk: “We are going to make solar. Okay, great. Both SpaceX and Tesla are building towards 100 gigawatts here of solar cell production.”

Elon Musk with Dwarkesh Patel & John Collison – The Future of AI is in Space – Part 4: Turbine Bottleneck & Space Solar (Full Transcript)

In Part 4, John Collison asks whether Elon would try to solve the turbine shortage himself or go straight to manufacturing solar at enormous scale. Elon reveals that SpaceX and Tesla are already moving toward 100 gigawatts of solar cell production and explains why solar cells destined for space are dramatically cheaper and easier to produce than those on Earth. He also gives a detailed breakdown of why most people severely underestimate how much power a real AI data center actually requires.

Transcript:

John Collison suggested that the turbine blade bottleneck sounded like the kind of problem Elon would want to attack directly, and proposed that making solar themselves might be the smarter long-term path.

Elon Musk: “We are going to make solar. Okay, great. Both SpaceX and Tesla are building towards 100 gigawatts here of solar cell production.”

Dwarkesh Patel asked how deep into the supply chain they planned to go — from raw polysilicon all the way to finished solar panels.

Elon Musk: “I think you got to do the whole thing from raw materials to the finished cell. Now, if it’s going to space, it actually costs less. And it’s easier to make solar cells that go to space because they don’t need glass or they don’t need much glass and they don’t need heavy framing because they don’t have to survive weather events. There’s no weather in space. So it’s actually a cheaper solar cell that goes to space than the one on the ground.”

Elon emphasized that solar is already extremely cheap on Earth, but moving it to space changes the economics dramatically.

Elon Musk: “Solar cells are already very cheap. They’re like farcically cheap. And if you say, I think solar cells in China are around like 25, 30 cents a watt or something like that, it’s absurdly cheap. And when you take into account now put it in space and it’s five times cheaper because it’s five times — in fact, no, it’s 10 times cheaper because you don’t need any batteries. So the moment your cost of access to space becomes low, by far the cheapest and most scalable way to generate tokens is space. It’s not even close. It’ll be an order of magnitude easier to scale.”

He then shared the real-world difficulties his team faced just getting one gigawatt of power online for the Colossus supercluster.

Elon Musk: “And chips aside, an order of magnitude. The point is you won’t be able to scale on the ground. You just won’t. People are going to hit the wall big time on power generation. There already are. So the number of miracles in series that the xAI team had to accomplish in order to get a gigawatt of power online was crazy. We had to gang together a whole bunch of turbines. And then we had permit issues in Tennessee and had to go across the border to Mississippi, which is fortunately only a few miles away. But then we still had to run the high power lines a few miles and build a power plant in Mississippi. And it was very difficult to build that.”

Elon then explained why most people dramatically underestimate how much electricity is actually needed at the generation level to run a real AI data center.

Elon Musk: “And people don’t understand how much electricity do you actually need at the generator level, at the generation level in order to power a data center? Because they look at the specs, will look at the power consumption of say a GB 300 and multiply that by the number and then think that’s the amount of power you need.”

John Collison noted that even those calculations miss major additional loads like cooling and supporting systems.

Elon Musk: “Wake up. Yeah, that’s a total noob. You’ve never done any hardware in your life before. Besides the GB 300, you’ve got to power all of the networking hardware. There’s a whole bunch of CPU and storage stuff that’s happening. You’ve got to size for your peak cooling requirements. So that means can you cool even on the worst hours, the worst day of the year? Well, it gets pretty freaking hot in Memphis, so you’re going to have like a 40% increase on your power just for cooling.”

He continued breaking down the additional multipliers that are almost always overlooked.

Elon Musk: “Assuming you don’t want your data center to turn off on hot days and you want it to keep going, then you’ve got to say, well, there’s another multiplicative element on top of that, which is are you assuming that you never have any hiccups in your power generation? Like, oh, well, actually sometimes we have to take the generators, some of the power offline in order to service it. Oh, okay, now you add another 20, 25% multiplier on that because you’ve got to assume that you’ve got to take power offline to service it. So the actual — roughly every 110,000 GB 300s inclusive of networking, CPU, storage, cooling, margin for servicing power is roughly 300 megawatts.”

John Collison asked him to repeat the number for clarity.

Elon Musk: “It’s roughly — or think about it like a way to think about it is like 330,000. What you need at the generation level to service, probably service 330,000 GB 300s, including all of the associated support, networking and everything else, and the peak cooling and to have some power margin reserve is roughly a gigawatt.”

Elon breaks down why naive power calculations for AI data centers fall far short of reality and why space-based solar could be the only way to scale at the required speed. I

n Part 5, the conversation continues with more on the challenges and opportunities of building at this scale.

Elon Musk on The Massive Scale of Power Requirements and Utility Bottlenecks

Elon Musk with Dwarkesh Patel & John Collison – The Future of AI is in Space – Part 3: The Massive Scale of Power Requirements and Utility Bottlenecks (Full Transcript)

In Part 3, the conversation turns to the enormous scale of power required to run advanced AI at the level Elon envisions. Dwarkesh Patel and John Collison press Elon on the real-world challenges of building terawatts of electricity generation and why the utility industry is such a major bottleneck. Elon explains why private power plants co-located with data centers may be the only practical solution.

Transcript:

Dwarkesh Patel sought clarification on the scale Elon was describing, confirming that he was talking about terawatts of power. The discussion then moved to the extreme difficulty of actually building that much electricity generation at the speed AI development requires.

Elon Musk: “Yeah, well, all of the United States currently uses only half a terawatt per hour on average. Right. So if you say a terawatt, that would be twice as much electricity as the United States currently consumes. So that’s quite a lot. And can you imagine building that many data centers, that many power plants? It’s like those who have lived in software land don’t realize that they’re about to have a hard lesson in hardware, that it’s actually very difficult to build power plants. And then you don’t just need the power plants, you need all of the electrical equipment, you need the electrical transformers to run the transformers, the AI transformers.”

Elon pointed out that the utility industry moves extremely slowly because it is heavily regulated and “impedance matched to the government.”

Elon Musk: “Now, the utility industry is a very slow industry. They impedance match to the government, to the public utility commission. So they’re very slow because their past has been very slow. So trying to get them to move fast is just like, you know, if you’re trying to do an interconnect agreement… have you ever tried to do an interconnect agreement with a utility at scale? Like with a lot of power?”

Dwarkesh Patel laughed and admitted that, as a podcaster, he had never tried to do an interconnect agreement with a utility.

“Now, the utility industry is a very slow industry. They impedance match to the government, to the public utility commission. So they’re very slow because their past has been very slow. So trying to get them to move fast is just like, you know, if you’re trying to do an interconnect agreement… have you ever tried to do an interconnect agreement with a utility at scale? Like with a lot of power?” – Elon Musk

Elon Musk: “In fact, yeah, they have to do a study for a year. Okay. Like a year later they’ll come back to you with their interconnect study.”

John Collison asked whether companies could simply bypass the utility bottleneck by building their own private power plants right next to the data centers.

Elon Musk: “You can build power plants. Yeah, that’s what we did at xAI for Colossus.”

John Collison followed up, asking why this private-power approach wasn’t being treated as the obvious solution to the utility problems they had been discussing.

Elon Musk: “Right. But it begs the question of where do you get the power plants? Where do you get the power plants from? I mean the power plant makers.”

John Collison summed up the deeper issue: there is currently a massive backlog for gas turbines and power plant equipment in general.

Elon highlights that even if companies build their own power plants, they still face major constraints in actually obtaining the equipment. In Part 4, the discussion continues with more on the practical challenges of scaling AI infrastructure at this level.

Elon makes a bold prediction that space will become the cheapest place to run AI within three years.

Elon Musk with Dwarkesh Patel & John Collison – The Future of AI is in Space – Part 2: Why Space Is the Optimal Place for AI (Full Transcript)

In Part 2, Dwarkesh Patel and John Collison explore whether space could actually be better than Earth for running massive AI infrastructure. They raise practical concerns around regulation, servicing failing GPUs, and power generation. Elon Musk has a strong case for orbital compute, highlighting the dramatic advantages of space-based solar power.

Transcript:

Dwarkesh Patel suggested that space might mostly be a regulatory advantage, since it’s harder to build big infrastructure on land than in space. He also asked how you would service GPUs when they fail — which happens quite often during large training runs.

John Collison added questions about solving the power problem, specifically whether private behind-the-meter generation co-located with data centers could work.

Elon Musk: “It’s harder to scale on ground than it is to scale in space. But also, you’re going to get about five times the effectiveness of solar panels in space versus the ground.

And you don’t need batteries. I almost wore my other shirt, which says ‘it’s always sunny in space,’ which it is. Because you don’t have a day-night cycle or seasonality, clouds, or an atmosphere in space.

The atmosphere alone results in about a 30% loss of energy. So any given solar panel can do about five times more power in space than on the ground, and you avoid the cost of having batteries to carry you through the night.

So it’s actually much cheaper to do in space. And my prediction is that it will be by far the cheapest place to put AI will be space in 36 months or less.”

Elon makes a bold prediction that space will become the cheapest place to run AI within three years. In Part 3, the conversation continues with more details on the technical and economic realities of moving AI infrastructure off Earth.

And my prediction is that it will be by far the cheapest place to put AI will be space in 36 months or less. – Elon Musk

Picture of Elon Musk as he jokingly questioned whether they were really going to talk for three full hours. Dwarkesh Patel teased him in return, saying he didn’t have much to talk about. Elon reacted with mock surprise.

Elon Musk on Why the Future of AI Will Be in Space with Dwarkesh Patel & John Collison – Part 1 (Full Transcript)

Part 1: Opening Banter and the Economics of Space-Based Data Centers

The interview opened with some light-hearted and playful banter. Elon Musk jokingly questioned whether they were really going to talk for three full hours. Dwarkesh Patel teased him in return, saying he didn’t have much to talk about. Elon reacted with mock surprise.

Elon Musk: “So are there really three hours of questions or are you fing serious?” Elon Musk: “Holy f, man.”

John Collison jumped in, agreeing that it was actually the most interesting time because all the major storylines seemed to be converging at once. Elon playfully replied that it was almost as if he had planned it that way.

Elon Musk: “Almost like I planned it.”

John Collison laughed and said “Exactly.”

Elon Musk: “That would never do such a thing.”

With the lighthearted tone set, Dwarkesh Patel steered the discussion into the first major topic: the economics of data centers and why anyone would consider moving them into space. He explained that in a typical data center, energy accounts for only 10 to 15 percent of total cost of ownership, with GPUs representing the vast majority of the expense. He pointed out that placing those GPUs in space would make servicing nearly impossible, shortening their depreciation cycle and driving costs far higher, then asked directly what possible reason there could be to put them in orbit anyway.

Elon Musk: “Well, the availability of energy is the issue. So, I mean, if you look at electrical output outside of China, everywhere outside of China, it’s more or less flat. It’s very, you know, maybe a slight increase, but pretty close to flat. China has a rapid increase in electrical output. But if you’re putting data centers anywhere except China, where are you going to get your electricity? Especially as you scale, the output of chips is growing pretty much exponentially, but the output of electricity is flat. So how are you going to turn the chips on? Magical power sources. Magical electricity fairies.”

Dwarkesh Patel followed up by noting Elon’s well-known advocacy for solar power, calculating that one terawatt of solar (requiring about 4 terawatts of panels at 25 percent capacity factor) would cover only 1 percent of U.S. land area, yet even that seemed insufficient once data centers themselves reached terawatt scale. He asked what exactly we are running out of. Elon pressed him on how far into the singularity he thought we already were, and Dwarkesh turned the question back. Dwarkesh then asked whether the plan was to move to space only after blanketing places like Nevada with solar panels on the ground.

Elon Musk: “Right.”

Elon Musk: “Yeah, exactly. So I think we’ll find we’re in the singularity and like, okay, we’ve still got a long way to go.”

Elon Musk: “I think it’s pretty hard to cover Nevada in solar panels. You have to get permits from, try getting the permits for that.”

Read on part Parts 2-10.