A couple of weeks or so. And we're getting the regulatory permission to launch in the Bay Area, Nevada, Arizona, Florida, and a number of other places.
So as we get the approvals and we prove out safety, then we will be launching autonomous ride-hailing in most of the country. And I think we'll probably have autonomous ride-hailing in probably half the population of the U.S. by the end of the year. That's at least our goal, subject to regulatory approvals. I think we'll technically be able to do it. So assuming we get regulatory approvals, it's probably addressing half of the population in the U.S. by the end of the year. But we are being very cautious. We don't want to take any chances. And so we're going to go cautiously. But the service areas and the number of vehicles in operation will increase at a hyper-exponential rate. So some other notable things.
Model Y in June became the best-selling car in Turkey, Netherlands, Switzerland and Austria. It is, I believe, the best-selling car of any kind in the world still. And autonomy is a big factor there. So even without — even absent — even without supervised — even with just supervised self-driving, it's a huge selling point. And it's worth noting that we do not actually yet have approval for supervised FSD in Europe. So our sales in Europe, we think, will improve significantly once we are able to give customers the same experience that they have in the U.S. This is, I think, a very important point to convey. And we've been working with our main country regulator, which is the Netherlands. And I think we're close to getting approval with the Netherlands, then it's got to go to the EU. It's quite Kafka-esque. In fact, Kafka had no idea that something like the EU could exist beyond Kafka-esque challenges with bureaucracy. But we will get the approvals. And I think we'll get — some people in Europe will have an experience similar to that of the U.S. in most of Europe this year, hopefully, at least partly in this quarter. And then we also have some regulatory challenges in China, which we're hoping to unblock shortly where we — because we also cannot provide supervised FSD in China currently, but we hope to unblock that soon. That's also — that's another major — it really is the single biggest demand driver. And then within the U.S., as we get confident about safety in different geographic areas, we'll loosen up on how much somebody has to be laser-focused — to have their eyes laser-focused on the road. That's been a common complaint. In fact, it does create an odd safety issue where people will sometimes disengage autopilot, then do something, change the radio or maybe look at the phone, drive with their knee and then reengage autopilot, which obviously is less safe than simply keeping autopilot on. So anyway, that experience will improve in the next several weeks. Because of our focus on Austin with no one in the driver seat, the production release of autopilot is actually several months behind what people experience on a robotaxi in Austin. So now we have the robotaxi launched, we'll be adding back those elements so that there will be a step-change improvement in the autopilot experience for people outside of Austin. So this is really — as you can tell, this is very much sort of autonomy is the story. Like we need the physical product, without which you cannot have autonomy. But once you have a physical product, you need — the autonomy is what amplifies the value to stratospheric levels. We also launched the Tesla Diner, which has been a huge hit. It actually got worldwide attention, which is unusual for a diner. Diners don't typically get headline news around the earth. But this is a pretty special diner. And if you're in the L.A. area, it's worth visiting. It's sort of a shining beacon of hope in an otherwise sort of bleak open landscape, frankly. So it's really quite a lovely experience. Great job by the Tesla team there. On the full self-driving front, I'll continue talking about that. We have — we're continuing to make significant improvements just with the software.
So we're expecting to increase the parameter count. Actually, at this point, we think we can probably 10x the — almost 10x the parameter count. Yes, roughly 10x the parameter count. So this is actually a very tricky thing to do because, as you increase the parameter count, you get choked on memory bandwidth. But we currently think we can 10x the parameter count from what people are currently experiencing. So not just 4x, actually 10x increase in parameter count. And yes, so still a lot of improvement on the existing hardware to happen. Energy is growing really well despite headwinds from tariffs and supply chain challenges. The Megapack is expanding capacity quickly, and we have upgrades to the Megapack that will make it even better. And we had record powerwall deployment again in Q2.
So I think batteries are just going to be a massive thing. The scale of batteries, battery demand, I think, not that many people appreciate just how gigantic the scale of battery demand is. The way to think about it is that the U.S. sustained power output for the U.S. grid is around 1 terawatt but average usage is less than half a terawatt. If you add batteries to the mix, you can run the power plants 24/7 at full capacity, thus doubling — more than doubling the energy output per year of the United States just with batteries. But that's again a big deal. It's a really big deal. Optimus, so we're evolving the Optimus design and really getting Optimus to the point where it is a phenomenal design. So we're in Optimus version 2 right now, sort of 2.5. Optimus 3 is an exquisite design, in my opinion, and will be — as I've said many times before, I predict it will be the biggest product ever. It's a very hard problem to solve. You have to design every part of it from physics first principles. There's nothing that's off the shelf that actually works. So you got to design every motor, gearbox, power electronics, control electronics, sensors, the mechanical elements. We also got to train Optimus to use its limb sensors with a neural net. But we'll be applying the same techniques that we applied for our car, which is essentially a 4-wheel robot. And Optimus is a robot with arms and legs. So put the same principles that apply to optimizing AI inference on the car, apply it to Optimus because they're both really robots in different forms. And Tesla, it is important to note that Tesla is by far the best in the world at real-world AI. Like a clear proof point for that would be — if you compare, say, Tesla to Waymo, Waymo has got — the car is festooned with God knows how many sensors. And yet, isn't Google good at AI? Yes, but they're not good at real-world AI. Thus far, they have — Tesla is actually much better than Google by far and much than anyone at real-world AI. And by far, Tesla has the best inference efficiency.
Like I think a key figure of merit for AI is what is the intelligence per gigabyte. And people talk about parameters, blah, blah, blah, but I think we'll — stop talking about parameters and talk about per gigabytes because with the parameters, you can have 4-bit parameters, 8-bit parameters, 16-bit parameters. But the actual constraints in the hardware are how many gigabytes of RAM and how many gigabytes per second can you transfer from RAM. Therefore, it is not a parameter constraint. It is a byte constraint. And Tesla has the highest intelligence density of any AI by far. And I have a lot of insight into this with xAI. xAI is — Grok is the smartest AI overall, but it's — Grok 4 is a giant beast sort of at the terabyte level. And so kind of important to note, Tesla has the best intelligence density. Intelligence density will be a very big deal in the future. It is now.
So with Optimus 3, which is really the right design, it's like it doesn't have — at this point, there's no significant flaws with the Optimus 3 design. But we are going to retool a bunch of things. So there will probably be prototypes of Optimus 3 end of this year and then scale production next year. We're going to try to scale Optimus production as fast as it's humanly possible to do, so we'll try to get to 1 million units a year as quickly as possible. We think we can get there in less than 5 years, it's my sort of — I guess. That's a reasonable aspiration, 1 million units a year, 5 years, it seems like an achievable target. So in conclusion, so far, 2025 has been a very exciting year, a lot of major milestones. We've made it clear with our demonstrable progress in autonomy that a lot of naysayers said we would not achieve. But it's worth noting that we have done what we said we're going to do. It doesn't mean we're always on time, but we get it done. Now the naysayers are sitting there with an egg on their face.
So a great progress by the Tesla team. I do think if Tesla continues to execute well with vehicle autonomy and humanoid robot autonomy, it will be the most valuable company in the world. There's a lot of execution between here and there. It doesn't just happen. But provided we execute very well, I think Tesla has a shot at being the most valuable company in the world. Obviously, I'm extremely optimistic about the future of the company. The best way to predict the future is to make it happen, and we're making it happen here with the Tesla team. So I'd just like to say thanks to all of our supporters. And I think we've got an incredibly exciting future.