Elon Musk with Jason Calacanis, Børge Brende and Larry Fink in Davos.

Transcript: Elon Musk at Davos World Economic Forum, Jan. 2026

This is my verbatim transcript of Elon Musk’s recent Davos interview at the World Economic Forum, based directly on his live conversation. I’ve formatted it for your readability with Elon talking with Larry Fink of BlackRock, and I have kept it as close to word-for-word as possible (including natural speech patterns, ums, and repetitions), and made minor fixes only for obvious auto-transcription errors to ensure accuracy without changing meaning.

Elon Musk: We are going to make this interesting!

Larry Fink: How many quotes are you going to want that are after this session?

Elon Musk: I don’t know, five, haha!

Larry Fink: Good afternoon everyone, it’s great to see everybody here. It has been an amazing week. Thrilled Elon Musk come from California. Thank you, Elon.

Elon Musk: You’re most welcome. I heard about the formation of the Peace Summit, and it’s like, is that P-I-E-C-E, a little piece? Haha. Or Greenland? A little piece of Venezuela? All we want is peace.

Larry Fink: Okay. As they said, I’m pretty proud CEO BlackRock. Since we went public, the compounding return of BlackRock to our shareholders was 21%. Since Elon took Tesla public, his compounded return is 43%. This is just another advertisement for everybody, especially for Europeans. This is why more citizens should be investing with growth, investing in their countries. Imagine if a lot of pension funds invested with Elon when Tesla went public, and how much return would be with all the pension funds that invested side-by-side with Elon and the growth. So a spectacular return. There’s very few companies—well, I don’t think there is any other company as large as Tesla today that has compounded returns. Congratulations.

Elon Musk: We have an incredible team at Tesla. and so thats the reason!

Larry Fink: I want to get into the meaningful component about technology, the possibilities. I want to talk about AI and robotics, energy, space, and the progress ultimately coming down to engineering. Engineering discipline, scale, execution. Few people, if not anyone, has the experience, and the fortitude to confront these issues head-on—not just ideas, but execution across so many different technologies. Elon, that’s why it is important for us to have this dialogue here in Davos. So you are presently building on AI and robotics, space, energy—all at the same time. When you look across those efforts, what do they have in common from an engineering standpoint?

Elon Musk: Well, they’re all very difficult technology challenges. But the overall goal of my companies is to maximize the future of civilization—like basically maximizing the probability that civilization has a great future. And to expand consciousness beyond Earth. S

o if you take SpaceX, for example, SpaceX is about advancing rocket technology to the point where we can extend life and consciousness beyond Earth—to the Moon, Mars, eventually other star systems. I think we should always view consciousness, life, as precarious and delicate. Because to the best of our knowledge, we don’t know if life is anywhere else. You know, I’m often asked, are there aliens among us? And I’ll say that I am one. They don’t believe me.

Okay. So I think if anyone would know there are aliens among us, it would be me. And 9,000 satellites up there, and not once have we had to maneuver around an alien spaceship. So like, I don’t know. Bottom line is, we need to assume that life and consciousness is extremely rare, and it might only be us. And if that’s the case, then we do everything possible to ensure the light of consciousness is not extinguished.

Because effectively, the image in my mind is of a tiny candle in a vast darkness—tiny candle of consciousness that could easily go out. And that’s why it’s important to make life multiplanetary. Such that if there is a natural disaster or man-made disaster on Earth, that consciousness continues. That’s the purpose of SpaceX.

Tesla is obviously about sustainable technology. And also at this point, we’ve sort of added to our mission sustainable abundance. So with robotics and AI, this is really the path to abundance for all. If you say, you know, people often talk about solving global poverty, or essentially how do we give everyone a very high standard of living—I think the only way to do this is AI and robotics. Which doesn’t mean that it’s without its issues. We need to be very careful with AI. We need to be very careful with robotics. We don’t want to find ourselves in a James Cameron movie—you know, Terminator. He’s great. Great movies. Love his movies. But well, we don’t want to be in Terminator, obviously.

But if you have ubiquitous AI that is essentially free or close to it, and ubiquitous robotics, then you will have an explosion in the global economy—an expansion in the global economy that is truly beyond all precedent.

Larry Fink: Can that expansion be broad? Or is it narrow? And how can it be broadened the global economy?

Elon Musk with Jason Calacanis, Børge Brende and Larry Fink in Davos.
Elon Musk with Jason Calacanis, Børge Brende and Larry Fink in Davos.

Elon Musk: Way to think of it is that if you have a large number of humanoid robots, the economic output is the average productivity per robot times the number of robots. And actually my prediction is in the benign scenario of the future that we will—the robots will actually make so many robots and AI that they will actually saturate all human needs. Meaning you won’t be able to even think of something to ask the robot for at a certain point. Like there would be such an abundance of goods and services. Because my predictions are there’ll be more robots than people.

Larry Fink: So but how do you then have human purpose in that scenario?

Elon Musk: Yeah, I mean, you know, there are—nothing’s perfect. But I mean, it is a necessary… Like, you can’t have both. You can’t have work that has to be done and amazing abundance for all. Because if it’s work that has to be done, and only some people can do it, then you can’t have abundance. It’s narrow.

Larry Fink: Narrow.

Elon Musk: Exactly. So but if you have billions of humanoid robots—I think there will be… I think everyone on Earth is going to have one and gonna want one. Because who wouldn’t want a robot to, you know, assuming it’s very safe—watch over your kids, take care of your pet? If you have elderly parents—a lot of friends of mine have elderly parents, it’s very difficult to take care of them. Expensive. Yeah, it’s expensive, and there just aren’t enough people to take care of the old people. So if you—if they had a robot that could take care of and protect elderly parents, I think that would be a great, amazing thing to have. And I think we will have those things. So overall, I’m very optimistic about the future. I think we’re headed for a future of amazing abundance, which is very cool. And definitely we are in the most interesting time in history. I don’t think there is a more interesting time in history!

AGING

Larry Fink: Can we reverse aging in this new history? Or are we going to see it?

Elon Musk: You know, haven’t put much time into the aging stuff, but I do think it is a very solvable problem. Like, you can—I think when we figure out what causes aging, I think we’ll find it’s incredibly obvious, that it’s not a subtle thing. The reason I say it’s not a subtle thing is because all the cells in your body pretty much age at the same rate. You have never seen someone with an old left arm and a young right arm ever in my life. So why… You know, there is some benefit to death, by the way. It’s like, there’s a reason why we don’t actually have a longer lifespan. Because if people do live forever or for a very long time, I think there’s some risk of an ossification of society—of things just getting kind of locked in place. And yeah, it just may become stultifying, a lack of vibrancy. But that’s it. Do I think we’ll figure out ways to extend life and maybe even reverse aging? I think that’s highly likely.

Larry Fink: Looking forward to that. So in the future you talk about—their AI models, autonomous machines, rockets—depends on massive increases of compute, massive increases in energy. Expensive energy, manufacturing scale. What are the bottlenecks to get there? And once again, with all that expenditures, how can we make sure it is broad, not narrow?

Elon Musk: I just think the natural thing will be very broad because AI companies will seek as many customers as they possibly can. And the cost of AI is already low and plummeting every year—almost the cost of AI is meaningfully changing on a month basis.

Larry Fink: There are open models now everywhere.

Elon Musk: Yes. Very good open models. The open models only lack what may be a year behind the closed models. So I think, yeah, AI companies will seek as many customers as possible, which means they’ll provide AI to the world.

Larry Fink: But the cost of getting to their compute chips, the fab, power—powering that.
To me, what are those? It is a huge factor.

Elon Musk: I think the limiting factor for AI deployment is fundamentally electrical power.

Larry Fink: It’s energy. Yeah.

Elon Musk: We were seeing the rate of AI chip production increase exponentially, but the rate of electricity being brought online is….

Larry Fink: 5%, 4% a year max.

Elon Musk: Yes, it’s clear very soon—maybe later this year—we will be producing more chips than we can turn on. Except for China. China’s growth in electricity is tremendous.

Larry Fink: They are building 100 gigawatts of nuclear as we speak.

SOLAR

Elon Musk: Actually solar is the biggest thing in China. So China is—I believe Chinese production capacity on solar is 1,500 gigawatts a year, and they’re deploying over 1,000 gigawatts a year of solar. Now, you know, for continuous solar load, you divide that by roughly 4 or 5. Call it around 250 gigawatts of steady-state power paired with batteries.

And that’s a very big number—half the average power usage in the US. US power usage on average is 500 gigawatts. China. just with solar, solar that can provide steady-state power and batteries can do half of the US electricity output per year just from solar.

Solar’s by far the bigger source of energy. And actually when you look beyond Earth—or even on Earth, but certainly beyond Earth—the sun rounds up to 100% of all energy. This is an important thing to consider. So the sun is 99.8% of the mass of the solar system. Jupiter is about 0.1%, and everything else is miscellaneous. Now even if you were to burn Jupiter in a thermonuclear reactor, this up the amount of energy produced by the sun would still round to 100%, because Jupiter is only 0.1%. If you teleported three more Jupiters into our solar system and burnt three more Jupiters and everything else in the solar system, the sun’s energy would still round up to 100%. So it is really all about the sun. And that is why one of the things we are doing with SpaceX within a few years is launching solar-powered AI satellites. Because space is really the source of immense power. Then you don’t need to take any room on Earth. There is so much room in space and can scale to hundreds of terawatts a year.

Larry Fink: Elon and I have had these conversations before, but why don’t you tell the audience what would it take for the United States in what geography would it take that solar field electrify the United States? Let me ask a question: why aren’t we doing it?

Elon Musk: So rough way is 100 miles by 100 miles—160 kilometers by 160 kilometers—on solar is enough to power the entire United States. So 100-mile by 100-mile area. You can take a small corner of Utah, Nevada, New Mexico—obviously wouldn’t want it all in one place—but there was very small percentage of area of US to generate all electricity that US uses. And same is true actually for Europe. You could take a small part of your energy—take relatively unpopulated areas of say Spain and Sicily, and generate all electricity power that Europe needs.

Larry Fink: Why don’t you think there is a movement towards it here and in the United States? As there is in China?

Elon Musk: Well, unfortunately, US tariff barriers for solar are extremely high and this makes economics deploying solar artificially high. Because China makes almost all the solar.

Larry Fink: And what would it take for Europe or US to build it commercially if it is at scale?

Elon Musk: Yeah, I think—well, I can tell you what we are going to do at SpaceX and Tesla. We’re building up large-scale solar. So the SpaceX and Tesla teams both separately are working to build to 100 gigawatts a year of solar power in the US (of manufactured solar power). That will probably take us about three years. But these are pretty big numbers. And I encourage others to do the same. We obviously don’t control US tariff policy. But China makes solar cells that are incredibly low cost. And I think it would be worth doing large-scale solar.scale solar.

Larry Fink: So I know you’re going to be having a couple of big announcements on robotics and what it can do. I mean, when we went to the factory, you showed me those robots. We talked about billions of robots, but how quickly can they be deployed in your manufacturing setting, be utilized and be functional, and create that abundance you talked about?

Elon Musk: Well, humanoid robotics will advance very quickly. We do have some of the Tesla Optimus robots doing simple tasks in the factory. Probably later this year—by the end of this year—I think they will be doing more complex tasks, but still deployed in an industrial environment. And probably sometime next year—I would say that by the end of next year—I think we will be selling humanoid robots to the public.

Larry Fink: Like you’re already seeing in Tesla cars, software changes every quarter now. A software change upgrades the ability of the robot within the car.

Elon Musk: Yes, the Tesla full self-driving software—we update sometimes once a week. So I think some of the insurance companies have said that it is actually so safe when Tesla uses full self-driving—so safe that they’re offering customers half-price insurance if they use Tesla full self-driving in their car.

Larry Fink: And that can be monitored by the insurance company because it’s part of the agreement?

Elon Musk: Yeah, but I think self-driving cars is essentially a solved problem at this point. Tesla has rolled out Robotaxi service in a few cities, and it will be very widespread by the end of this year within US. Then we hope to get supervised full self-driving approval in Europe hopefully next month.

Larry Fink: Really that quickly!?

Elon Musk: Yeah. And then maybe similar timing for China hopefully.

SPACE

Larry Fink: I want to move to space because historically space is very capital intensive. Historically been done by governments. Obviously SpaceX changed the whole model. But we have seen it slow to scale. And now I am starting to see ramping up in what you are doing. Talk about the automation—how is it changing economics in building and preparing for operating in space?

Elon Musk: Sure. Well, the key breakthrough that SpaceX hopes to achieve this year: full reusability. No one has ever achieved full reusability of a rocket, which is very important for the cost of access to space. We have achieved partial reusability with Falcon 9 by landing the boost stage over 500 times. But we have to throw away the upper stage that burns up on reentry. And the cost of it is equivalent to a small- to medium-size jet.

So with Starship—which is a giant rocket, the largest flying machine ever made—that’s the rocket you’re using for the idea of going to Mars, right?

Larry Fink: Yeah.

Elon Musk: Mars and the Moon as well, and for high-volume satellite stuff. So Starship—hopefully this year—we should prove full reusability for Starship, which will be a profound invention. Because the cost of access to space will drop by a factor of 100 when you achieve full reusability. It is the same economic difference that you would expect between, say, a reusable aircraft and a non-reusable aircraft. Like if you have to throw your aircraft away after every flight, there will be expensive flights. But if you only refuel, then it’s the cost of fuel.

So that’s really the fundamental breakthrough that gets the cost of access to space—we think—below the cost of freight on aircraft. So you know, under $100 a pound type thing easily. It makes putting large satellites into space very low, very cheap.

And then when you have solar in space, you get five times more effectiveness—maybe even more than that—than solar on the ground. Because it’s always sunny, no clouds. Yeah, it’s always sunny. So you don’t have a day-night cycle or seasonality or weather. And you get about 30% more power in space because you don’t have atmospheric attenuation of the power. That net effect is solar is five times more—any given solar panel will do five times the energy in space than on the ground.

Larry Fink: There is any capacity in doing that then taking that power, bringing back to Earth? Is there any way of doing that? Or you just taking the power and utilizing it for needs like building AI data centers in space?

Elon Musk: I think the case is a no-brainer for building AI solar power to AI data centers in space. Because as mentioned, it’s also very cold in space. If you’re in shadow, then it’s very cold in space—3 degrees Kelvin. So you have solar panels facing the sun, and then a radiator that is like pointed away from the sun so it has no sun incidence. And then it’s just cooling—it’s a very efficient cooling system. Net effect is that the lowest-cost place to put AI will be space. And that will be true within 2 years, maybe 3 at latest.

Larry Fink: Looking 10 or 20 years out, how would you describe success with AI or space technology? And where do you see it? Can—are more certain what will happen in the next 3 years, 5, 10?

Elon Musk: I don’t know what’s going to happen in ten years. But the rate at which AI is progressing—we might have AI that is smarter than any human by end of this year, and no later than next year. And probably 2030 or 2031—5 years from now—AI will be smarter than all of humanity collectively.

Larry Fink: We only have a number of minutes left, but I want to humanize you for a second. So there’s no speculation that you’re the most successful entrepreneur, industrialist in the 21st century—maybe beyond. What inspired you? Who inspired you? What was the foundation of your curiosity? And importantly, why? Was there an aha moment, epiphany at any time in your life and career?

Elon Musk: Well, I mean, as a kid I read a lot of science fiction, sci-fi, fantasy books, comic books. And always like technology. Didn’t expect to be where I am today—seems incredibly implausible. But yeah, I was inspired by reading books about the future of science fiction. And I guess want to make science fiction not fiction forever. At some point, turn science fiction into fact. And you know, we wanna have like Starfleet as in Star Trek really for real—where we actually have giant spaceships traveling through space, going to other planets, traveling to other star systems.

Larry Fink: Beamed up to go back to New York?

Elon Musk: I would like beaming back to New York instead of flying. Yeah. You know about Star Trek. So I guess my essential what we call the philosophy of curiosity. And I would like to understand the meaning of life. Is the standard model of physics correct regarding the beginning of existence at the end of the universe? What questions do we not know to ask that we should ask? And AI will help us with these things. So I just try to understand: how did we get here? What’s going on? What is real? Are there aliens? Maybe they are. If you have spaceships traveling to other star systems, we may encounter aliens or find many long-dead alien civilizations. But I just want to know what’s going on—curious about the universe. And that is my philosophy.

Larry Fink: Do you see yourself going to Mars in your lifetime?

Elon Musk: Yes. Like that’s a long commitment, isn’t it? Three years each way?

Larry Fink: Six months.

Elon Musk: But the planets only align every two years. So yeah. Been asked a few times: do I want to die on Mars? And I’m like, yes—just not on impact.

Larry Fink: That’s a good answer. Anyway, we are out of time. Hopefully everybody enjoyed this. And there are so many myths around Elon Musk. I can tell you he is a great friend, and I constantly learn so much from him. And I’m totally inspired by what he has done, have been inspired by who he is, and I’m totally inspired by his vision of the future. And don’t think it’s such a bad future.

Elon Musk: And I think generally my last words would be: I encourage everyone to be optimistic and excited about the future. Good. And generally for quality of life, it is better on being an optimist rather than a pessimist, right?

(End of video – applause and wrap-up.)

This verbatim transcript is important and inspiring for everybody. Because it is so wide-ranging on technology, energy, AI, space, and optimism, it can lift you up if you’re ever down.

When I bought my first Tesla, a Model 3 in 2019, I joined a community of many people who love Elon Musk and Tesla. Every time I drive my Tesla around my hometown Austin, Texas, or take a Robotaxi here, I’m reminded of the extraordinary effort that is put into making Tesla succeed. Elon puts in maximum effort into all his companies.

In January 2022, I started this blog to write positive things about Tesla and Elon Musk. It has since grown to include many transcripts of Elon’s talks. I’m thankful to Johnna Crider for supporting and encouraging me to start this blog. 

Gail and Eve’s Tesla Podcast Ep 155: Letting Eve Decide Dinner with AI

Episode 155 is a fun look into letting Eve, Tesla’s AI assistant, take the wheel on dinner plans—literally! We chat for food recommendations, switch ideas on the fly, and get seamless direct navigation through Austin’s sunny streets. It’s all hands-free with zero interventions, showcasing how Eve makes errands effortless and exciting.

https://twitter.com/gailalfaratx/status/2014528478318559366?s=20

The adventure starts with activating Eve and brainstorming spots: from gift shopping at Paper Source to craving tacos and queso. Eve suggests options like Domain Northside shops, then pivots to taco joints with fish tacos, beef tacos, chips, and boozy margaritas. Loved the real-time map updates and her pleasant voice handling every curveball!

Jump to around 1:30 for Eve’s first food recs, or 4:00 for navigation kicks in. By 7:00, we’re cruising to the spot with city views, and 10:00 brings music and wrap-up vibes. This ep highlights Tesla’s AI evolving into a true co-pilot for daily life—abundant, smart, and super helpful.

Catch the full AI dinner chat on X: Watch here — fast-forward for those interactive moments.

Here’s to more Eve adventures!

—Gail

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Elon Musk, Peter Diamandis & Dave Blundin: Amazing Abundance – Part 4: Games, Compute & Reality

In Part 3, Elon revealed how xAI is forcing a gigawatt-scale breakthrough in AI training power. Now Peter’s son Jet (age 14) inspires the next turn: gaming and AI’s role in it.

Peter D.: My other son Jet, who’s 14, wanted to know about your AI gaming studio and the impact of AI in the gaming world. What are your thoughts?

Elon’s origin story surfaces.

Elon: Yeah, that’s why I started programming computers… Civ was actually a very— in terms of games that educate you while you have fun, Civ is epic at that.

Dave jumps in.

Dave B.: The only way I ever win is getting off the planet… Tech victory to Alpha Centauri.

Elon: I guess I am sort of aiming for the Alpha Centauri tech victory essentially.

The analogy is perfect: civilization’s true win condition isn’t domination — it’s escape velocity.

Elon: Aspirationally [building an AI gaming studio].

Because:

Elon: The vast majority of AI compute is going to go to video consumption and generation… Real-time video generation. That’s going to be the vast majority of AI compute. Photon processing.

Peter floats an X Prize for Universal High Income governance. Elon is open but skeptical on measurement.

Then the conversation ascends to simulation theory.

Elon: The most interesting outcome is the most likely… Only the simulations that are the most interesting will survive. Because when we run simulations, we truncate the ones that are boring.

Terrible things can still happen — they keep it engaging. Like watching a war movie while eating popcorn.

Dave B.: So the guys running the simulation have immensely boring lives compared to us.

Elon: Yeah, because when we create simulations, they’re a distillation of what’s interesting.

Are we in Act 3? The room leaves it open.

This segment closes on the biggest frame possible: Reality as a game where the win condition is expansion, energy mastery, and keeping it interesting.

My two cents: Think about what you can remember from your past. You’re probably like me and mostly recall just the spicy parts of your life. So what were you doing on March 3, 2023? Good question—and a troubling one.

Our minds are made of a string of memorable events. For myself, I sought to create the most vivid memories possible when I was young. Soon, I’ll be publishing a book for you that will include some very vivid experiences I had living in Italy when I was 21–22 years old.

I encourage you to create your most important memories when you’re younger—and then you’ll carry those memories with you for your entire beautiful life. But you’re never too old to create memories!

Elon Musk, Peter Diamandis & Dave Blundin: Amazing Abundance – Part 3: Energy Foundation

In Part 2, Elon dropped a bold bet on ultra-clean chip fabs where you could eat a cheeseburger without contaminating wafers. Now the conversation shifts to our future of abundance: energy.

Sitting in the glorious front lobby of Gigafactory Texas in Austin, Peter steers toward the concerns people in America are thinking about today: energy, health and education. Elon doesn’t hesitate because it is right in sync with his Master Plan 4 for Tesla.

Peter D.: I want to talk about energy, health, education, because those are people’s concerns. So on the energy front, the innermost loop of everything that you’re building and…

Elon: Doing right now, energy is the foundation.

Peter D.: What’s your vision for energy abundance? The sun in the next, you know, this decade. The sun. Yeah.

Elon: I mean, so the sun is everything.

Elon drives the point home with scale that rewires your brain

Elon: People just don’t understand how solar is everything. So everything compared to the sun, all other energy sources are like cavemen throwing some twigs into a fire.

The sun is over 99.9% of the solar system’s mass. Burn Jupiter? Still rounds to 100%. Burn four Jupiters? Same story.

Fusion?

Peter D.: Any interest in fusion?

Elon: Yeah, you know, coming— never going to guess how the sun works.

Peter D.: Giant coal plants.

Elon: I mean we have a giant free fusion reactor that shows up every day 93 million miles away. It’s farcical for us to create little fusion reactors. That would be like having a tiny ice cube maker in the Antarctic and saying, “Hey look, we made ice.”

Solar is the only scalable path

Dave narrows to the immediate bottleneck: powering the Memphis supercluster.

Dave B.: If you just narrow the question to the Memphis timeline. Between a gigawatt and 10 gigawatt. You’re not going to pull 10 gigawatts out of Memphis.

Elon: Maybe two or three.

They’re still in “Toyland” at 10 GW scale — yet xAI is already pushing boundaries.

Peter drops a plug for his Metatrends research, then presses on China’s solar dominance.

Peter D.: China has done an incredible job… They put in 500 terawatt hours in the last year, 70% solar. And they’re just scaling.

Elon: China has done an incredible job on solar. Yeah, it’s amazing. Production capacity around 1,500 gigawatts per year of solar.

The US lags. Energy = GDP = quality of life. The group agrees: America must scale solar aggressively. Tesla and SpaceX are already all-in.

The discussion turns to the GPU power crunch — why TSMC worries about overproducing chips.

Elon: If chip output is growing exponentially, but power harnessed is growing in a slow, linear fashion, then chip production can exceed the rate at which the AI chips can be turned on.

You need transformers, cooling, liquid-cooled racks. One burst pipe? A billion dollars gone.

xAI is solving it first

Elon: xAI is going to have the first gigawatt training cluster at Colossus 2 in Memphis… Mid-January will be a gigawatt… then 1.5 gigawatts probably April-ish.

My 2 Cents

It is amazing that xAI brought together natural gas turbines + Tesla Megapacks to smooth massive power swings for the data center ijn Memphis, and soon to be expanded to Southhaven, Mississippi. It is a symphony of engineering miracles! The finest engineers in Austin and Palo Alto, some even from SpaceX, and the future vision to seek only truth, beauty, and stay curious!

Part 4 dives into gaming, Civilization’s tech victory, and simulation theory.

Tesla Plans 304-Stall Supercharger Station in Firebaugh

Tesla plans to build the world’s largest Supercharger station with 304 stalls, including 16 for Tesla Semis, in Firebaugh, California.

Tesla plans to expand its existing Supercharger site in Firebaugh, California, into the world’s largest with a total of 304 stalls — 288 for passenger vehicles and 16 dedicated for Tesla Semis — once complete.

This represents an 85% increase over Tesla’s current largest site (164 stalls at Oasis in Lost Hills, California). The project, approved via a conditional use permit last month, adds 232 new car stalls to the existing 56 (some sources note the current count as around 72, but the core expansion figure holds). It includes a separate area for Semi operations with its own access routes, plus an amenity building and outdoor seating primarily for truck drivers.

Here are examples of large-scale Tesla Supercharger sites for context:

Tesla: Largest Supercharger in the world: 168 charging spaces, 100 ...
Tesla Opens Its Largest Solar-Powered Supercharger Site in ...

Firebaugh sits along Interstate 5, a key corridor connecting Southern California ports to Central Valley and Bay Area distribution hubs. This strategic spot has made it a priority since the original site opened in 2020 as Tesla’s then-largest in the US with 56 stalls.

Why Firebaugh and why now

The expansion reflects long-term planning by Tesla’s charging team, coordinated with local utilities and jurisdictions. It accounts for forecasted EV adoption growth, with built-in flexibility to adjust pace based on real demand.

A Tesla Charging team member with years of experience emphasized this deliberate approach.

Here is the post from Tesla’s Max DeZegher, who has been building Superchargers since 2014:

The site’s location supports both consumer travel and commercial trucking, especially as Tesla ramps up the Semi program. Dedicated Megachargers for Semis signal confidence in heavy-duty electric transport along this major freight route.

Reactions from Tesla enthusiasts and observers

Enthusiasts and Tesla-focused accounts quickly highlighted the scale as a bold step in infrastructure for EVs and trucking.

Sawyer Merritt broke down the details early, noting the existing 56 stalls.

Here are key posts capturing the excitement:

So what

This move positions Tesla far ahead in high-capacity charging, especially as more non-Tesla EVs gain access to Superchargers and Semi deployments increase. It underscores the company’s commitment to scaling ahead of demand along critical corridors, potentially reducing wait times and supporting broader EV and electric trucking adoption in California and beyond.

Firebaugh’s rural setting along I-5 provides ample space for this growth.

Here is a map view of the Firebaugh area:

Map of Firebaugh city - Thong Thai Real

Tesla Model 3 and Y Receive Euro NCAP Best in Class Awards

Tesla’s Model 3 and Model Y received Euro NCAP’s Best in Class safety awards, with Model 3 as the safest Large Family Car and Model Y as the safest Small SUV.

Tesla Model 3 and Model Y take top Euro NCAP safety spots for 2025

Euro NCAP announced its Best-in-Class awards for vehicles tested in 2025, naming the Tesla Model 3 the safest Large Family Car and the Tesla Model Y the safest Small SUV. Both models earned five-star ratings under the organization’s stricter 2025 protocols, which evaluated more electric vehicles and advanced driver assistance systems than in previous years.

Here are the two Tesla models side by side.

How the awards were determined

Euro NCAP calculates Best-in-Class winners using a weighted sum of scores across four areas: Adult Occupant protection, Child Occupant protection, Vulnerable Road User protection (pedestrians and cyclists), and Safety Assist technologies. Only vehicles with standard safety equipment and five-star overall ratings qualify.

The Model 3 achieved high marks particularly in Child Occupant protection and showed improvements in driver assistance features. The Model Y excelled in Child Occupant protection and Safety Assist, described by Euro NCAP as the “gold standard” for small SUVs.

These results come from tests conducted throughout 2025, Euro NCAP’s busiest year for evaluations.

Examples of crash test visuals and safety awards from Euro NCAP protocols.

Tesla’s announcement and immediate reactions

Tesla Europe & Middle East shared the news directly on X, highlighting the dual wins.

Here is the official post from Tesla Europe & Middle East.

Enthusiasts and Tesla-focused accounts quickly celebrated the results, emphasizing the company’s ongoing safety leadership.

Bullish takes from investors and fans.

Official Euro NCAP accounts also posted separate recognitions for each model.

Euro NCAP’s own highlights.

Broader context and impact

Tesla has a long track record of strong Euro NCAP results, with previous generations of these models also achieving top scores. The 2025 awards reinforce this under updated, more demanding criteria.

While the Mercedes-Benz CLA took the overall Best Performer title for 2025 (with Tesla finishing fractionally behind), the dual category wins for Model 3 and Model Y stand out in a competitive field that included more EVs than ever.

No major negative reactions appeared in recent X discussions around the announcement; coverage stayed focused on the safety achievement.

These awards help consumers identify leading safety options in popular segments, especially as electric vehicles continue to demonstrate strong performance in crash protection and active safety systems. The recognition arrives just before Euro NCAP introduces further protocol changes in 2026.

Elon Musk Talk with Diamandis, Part 2

(Austin, Texas) Here, we’ll continue on our series where the discussion escalates from advanced AI and robotics into another frontier: nanotechnology and true atomic-scale manufacturing.

ELON MUSK: “Well, I think if you reframe things in terms of progress bar, like speaking of challenges. Progress towards a Kardashev 2 scale civilization”

Peter Diamandis introduces the idea of “atomic reassembly”, which is rearranging atoms precisely to build anything, like a sci-fi replicator.

Elon quickly connects this to current reality, noting that semiconductor fabs already achieve atomic-level precision for circuits (down to 2–3 nanometers, or roughly 4–9 silicon atoms wide).

Elon points out that today’s “2nm” process nodes are often marketing hype, but the core requirement remains near-atomic accuracy. Atoms must be placed exactly right.

Elon then drops a provocative critique: modern chip fabs are designing their ultra-cleanrooms wrong (overly focused on making the entire massive building sterile, with extreme air filtration and bunny suits that slow everything down).

Elon makes a confident bet: Tesla will build its own 2-nanometer fab (possibly a massive “TeraFab” to meet exploding AI chip demand), and it will be engineered so effectively that he can eat a cheeseburger and smoke a cigar right inside the fab without contaminating the wafers.

When pressed on how this avoids “cheeseburger grease” ruining the chips, Elon explains the key insight: maintain complete wafer isolation throughout the process, which is possibly the default in advanced fabs anyway.

Wafers travel sealed in boxes filled with pure nitrogen gas under slight positive pressure, creating an oxygen-free “nitrogen blanket” that kills bugs and blocks contaminants (Dave Blundin jokingly compares it to bananas at Walmart, preserved with similar insecticide-like methods). Combustion (like cigar smoke) needs oxygen to thrive, so the isolated system stays pristine while the human environment becomes far more livable and efficient.

The Transcript: 

Peter D.: And then we get to nanotechnology, which takes it even a step further.

Elon:  The thing about the—well, I’m not sure what you mean by—you mean like little nanobots?

Peter D.: Atomic reassembly.

Dave B.: Yeah.

Elon:  Oh, yeah, yeah, sure, sure. I mean, we’re already doing atomic level assembly for circuits, you know.

Peter D.: Amazing. Two, three nanometers.

Dave B.: Yeah.

Elon:  It’s only depending on how they’re arrayed. Four or five silicon atoms per nanometer. Yeah. So those are big atoms, though. They’re biggish.

Dave B.: Yeah, they’re not your little—

Elon:  I mean, I’m saying they should actually describe the circuits in terms of an integer number of atoms in a specific place.

Dave B.: They should. It’s all angstroms now.

Elon:  It’s just an integer. It’s like—we’ll call this the seven atom. Yeah, whatever. Yeah, like you say two nanometers, it’s

Peter D.: Like no one knows.

Elon:  Nine silicon atoms, something like that. They’ve got silicon and copper and you know, so. But a bunch of these things are just marketing numbers. Like the 2 nanometer is just a marketing number. Oh yeah. But you still need essentially close to atomic level precision. Like the atoms really, you need to be in the right spot.

So I think they’re getting clean rooms wrong by the way, in these modern fabs. I’m going to make a bet here.

Peter D.: Okay.

Dave B.: Okay.

Elon:  That Tesla will have a 2 nanometer fab and I can eat a cheeseburger and smoke a cigar in the fab.

Peter D.: The air handling would be that good.

Dave B.: Do you have this sketched out in your mind? How are the atoms being placed? That they’re immune to cheeseburger grease.

Elon:  They just maintain wafer isolation the entire time, which is actually the default for fabs. The wafers are transported in boxes of pure nitrogen gas under a slight positive—

Dave B.: So are the bananas at Walmart, just so you know.

Elon:  Yeah, well that’s, it’s insecticide essentially. Like it’s pretty hard for anything that’s combusting to live without oxygen. Yep. So let’s talk about—so you like, you can kill the bugs just by putting a nitrogen blanket.

This leads into broader implications for radical abundance: if we perfect atomic reassembly at scale, manufacturing costs plummet, goods become nearly free, and humanity’s grand challenges shift dramatically.

Read Part 1 Here!

Elon Musk Talk with Diamandis, Part 1

PART ONE

(Austin, TX) The setting is Tesla Gigafactory Texas, in Austin, the lobby is futuristic, Elon sits intentionally in front of a mural for Cybertruck with a prototype of a Cybercab right behind him. You can feel his confidence as he relaxes in his jeans, black T-shirt, and cowboy boots. This is a man who is changing the world.

THIS ARTICLE WAS UPDATED ON JAN 18TH, 2026

As the interview starts, Peter asks Elon how he is, and Elon responds, his mind on chips for Tesla, “Right now, putting a lot of time into chips”

I recall when I accompanied Johnna Crider to interview Elon in 2022. Then, you’d ask Elon how he was, and he had his mind on scaling production. Elon is deeply involved with his teams at Tesla, I think it may be what occupies his thoughts the most. Today, Peter asks Elon if he is personally putting a lot of time into chips. Great point, as most CEOs “tell” others to do the hard work. With Elon, he does the hard work. He always has. In fact, shortly after this interview, Elon posted here on X indicating his immersion into Tesla Chip design.

Diamandis: You are personally? (putting time into chips?)

Elon Musk: Yeah

Blundin: With some AI assistance, I assume…

Dave Blundin has joined this interview, taking time off from teaching his AI class at MIT.

Elon Musk: Not enough, haha. It’d be nice if we could just hand it off to the AI.

Blundin: I tried to do some circuit design actually with AI recently, just a couple weeks ago. Not happening yet.

Elon Musk: Ahh, very soon, though. I think probably at this point, Grok, if you took a photo and submitted to Grok, it could probably tell you if a circuit is—if there’s something wrong with it.

Blundin: All right, I’m going to give it a shot. You’re using the same Grok that I’m using?

Elon Musk: Grok keeps updating.

Dave Blundin: So 4.2. But 5 is soon, right?

Elon Musk: 5 is Q1. 4.2 has not been released yet externally, but yeah, I mean, if you just upload an image into Grok, it does quite a good job of analyzing any given image. Let’s see if I take a picture of you. What is it? Let’s see what it does

Diamandis: Yeah. What’s it going to say about me?

Blundin: Yeah, it’s going to say you’re a flawed circuit.

Elon is updating his phone’s Grok app, “I also have to remember to update it because we update the Grok app so frequently,” as the update happened, Peter Diamandis confesses he asked Grok to roast Elon.

Diamandis: I asked Grok to roast you. And I spit out my coffee. It was hilarious.

Elon Musk: Just say, be more vulgar. Just keep telling it to be more and more vulgar, until it’s like, haha, mother of god!

Blundin: Is Bad Rudy still out or did that get repealed? Bad Rudy’s still there?

Elon assures Dave Blundin that the Grok AI companion, Bad Rudy, is still around.

Diamandis: And I asked Grok, does Elon know what you say about him? And she goes—it’s a she for me—she goes, “What is he going to do about it?”

Elon Musk: HAHAHA, What is he going to do about it? Yeah, let’s see (shifting focus) Okay, so I just literally took a photo of you and it will tell you what it is.

Peter Diamandis: Did you ask it a question?

Elon Musk: No, nothing. I didn’t say anything, there’s no context whatsoever.

Elon shows Grok’s reply about the picture, “He’s wearing a black quilted jacket featuring a Sundance logo. Not quite true. It’s my Abundance logo.

Blundin: A little wrinkled on the clothing.

Elon Musk: Anyway, yeah, but basically, it’s pretty damn good. Yeah. “He’s smiling and relaxed with a laptop in front of him”. Should we say, Roast him.

Diamandis: It has to be read by you, though.

Elon Musk: I mean, I won’t read the whole thing, but—

Peter Diamandis: Give me a taste. I can take it.

Elon Musk: Okay (He reads part of Grok’s roast of Diamandis). “Check out that grin, dude. Smiling like you just discovered a new way to monetize hope”.

Cameron’s Movie vs. Star Trek

Diamandis: I want to try and answer the question, can AI and tech help save America and the world? I want to give people listening a dose of optimism. There’s a survey done in mid-December by Pew that said 45% of Americans would rather live in the past and only 14% said they’d rather live in the future. Which is insane to me. Obviously they never read history. The challenge is most Americans, all they have of the future—it’s like Hollywood has shown us killer AIs and rogue robots. Right. And people are worried about their jobs, they’re worried about health care, they’re worried about the cost of living. The challenge is how do we help people? I mean, you posted, you pinned on X: “The future is going to be amazing with AI and robots enabling sustainable abundance for all.”

Elon Musk: I was thinking of you when I did that. I was thinking, What would Peter Diamandis say? I was channeling you, haha!

Diamandis: Thank you. Thank you. I couldn’t agree more either. So my question is from a first principle standpoint, right. The rationale for optimism, you know, how do we head towards Star Trek and not Terminator?

Elon Musk: Towards Roddenberry, not Cameron? It’s the diverging path meme.

Diamandis: Avatar has some hopeful parts, but anyway, how do we go towards universal high income instead of social unrest?

Elon is realistic, and when Peter suggests an either/or scenario here, Elon sees both happening. Here he explains why.

Elon Musk: Well, because there’s going to be so much change, it’s sort of the, you know, it’s like, be careful what you wish for, because you might get it. Now if you actually get all the stuff you want, is that actually the future you want? Because it means that your job won’t matter.

Diamandis: If you’re living an unchallenged life. With no challenges. No. You know, if you become a couch potato, if it’s a WALL-E future, it does not go well for humans.

A WALL-E future means a dystopia where humans become lazy, overweight couch potatoes, totally dependent on technology and automation, with zero challenges or effort in daily life—like the bloated, screen-addicted people floating around in the movie WALL-E. It’s the warning: remove all struggle and difficulty, and humanity atrophies fast.

Blundin: And we’re used to being told, here’s your challenge. So people haven’t historically been very good at creating their own challenge.

Diamandis: I think Elon does a damn good job. Every time one company takes off, you start your next.

Elon Musk: I’m a glutton for punishment.

Diamandis: I think you are, thank God for that.

Elon Musk: So why do I do this to myself?

Blundin: Actually, after AI and robots, is there another thing after that?

Diamandis: Well, there’s always space conquering, you know, the universe.

Elon Musk: Oh, it’s just rocks, really! Hahaha! We just need to get there.

Diamandis: Why, Elon? Why are you so optimistic? Are you optimistic? Let’s start there.

Elon Musk: I’m not as optimistic as you are, but I’m more optimistic than most people.

Peter Diamandis really wants to know WHY Elon Musk is so optimistic. He will continue to press for an answer, and it is interesting, as Elon does not directly answer his question, and I’m including one of Elon’s most famous quotes, and my personal favorite for you!

“Better to live life erring on the side of being optimistic and wrong than pessimistic and right!

Be realistic, but, as Monty Python would say, always look on the bright side of life!”

Gail’s Tesla Podcast Ep 154: Robotaxi Ride in Austin – Interview & Waiting Scenario

Hey Tesla fans! Episode 154 dives into my real Robotaxi experience in Austin, complete with a quick interview and the nitty-gritty of a waiting scenario during the ride. We explore how the system handles delays seamlessly, including on-screen support that pops up right when needed. It’s a peek at the future of autonomous rides—smooth, patient, and user-friendly, even in busy city traffic.

The episode blends chat and action: Starting with an insightful interview on Robotaxi tech, then shifting to the actual drive where we encounter a wait behind vehicles. Loved seeing the support interface kick in without any fuss!

Jump to 1:02 for the quick interview, 4:05 for the waiting scenario vibes, and 5:46 for the support screen appearance. This ride highlights Tesla’s progress in making autonomy feel natural and reliable.

Catch the full Robotaxi tour on X: Watch here — fast-forward to the support moment for that “aha” tech demo.

On to more autonomous adventures!

—Gail

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Gail’s Tesla Podcast Ep 153: Cruising Austin into 2026 – Happy New Year!

Hey Tesla lovers! Kicking off the year with Episode 153, where we cruise autonomously around Austin on FSD, welcoming 2026 with hands-free magic. No interventions needed as the Tesla glides through downtown streets, past iconic landmarks, and under those beautiful city lights—pure effortless joy to start the new year.

The drive loops the heart of Austin: from bustling intersections and the skyline at dusk to serene bridges and festive spots still glowing from the holidays. It’s all about that seamless autonomy, handling traffic, turns, and vibes like a champ. Loved chatting about the future while the car does the work!

This short ep (under 3 minutes) captures the excitement of Tesla tech ringing in abundance for 2026. Whether it’s navigating past cyclists or admiring the Capitol, FSD makes every ride feel celebratory.

Catch the full New Year’s cruise on X: Watch here — jump in for the skyline views or holiday light remnants.

Here’s to autonomous adventures ahead!

—Gail

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