Tesla is holding its 2025 Q1 earnings call today at 2:30 pm PT / 5:30 pm ET / 9:30 pm UTC. The earnings call will be followed by a Q&A session with Tesla executives, including Elon Musk.
We expect the focus to be on Tesla sales for the quarter, FSD Unsupservised and the Robotaxi network. Tesla may also discuss its upcoming, more affordable model, Optimus, and other products.
Update: If you prefer a recap of everything that was announced during Tesla’s earnings call, take a look at our bullet point list of everything Tesla announced.
Listen to Replay
The event will be live-streamed on Tesla’s site. It is also expected to be streamed on X and YouTube like it has been in the past. Tesla has changed this from an Earnings Call to a Company Update, but it’s unclear whether the phrase change holds any significance in what will be shared.
Update: You can listen to Tesla’s earnings call live below. If you prefer, you can also listen live on Tesla’s website.
Start Time
Tesla's live stream starts at 2:30 pm PT, which is the following times around the world:
2:30 pm Pacific Time
5:30 pm Eastern Time
9:30 pm UTC
10:30 pm - London, England
11:30 pm - Berlin, Germany
7:30 am (April 23rd) - Sydney, Australia
Q&A Questions
The questions asked during the Q&A portion of the call come directly from investors. These are currently the top-voted questions, so we’ll likely see answers to several of these questions:
What are the highest risk items on the critical path to robotaxi launch and scaling?
When will FSD unsupervised be available for personal use on personally-owned cars?
Is Tesla still on track for releasing “more affordable models” this year? Or will you be focusing on simplified versions to enhance affordability, similar to the RWD Cybertruck?
Does Tesla see robotaxi as a winner-take-most market, and as you approach the Austin launch, how do you expect to compare against Waymo’s offering, especially regarding pricing, geofencing and regulatory flexibility?
Can you please provide an update on the unboxed method and how that is progressing?
How is Tesla positioning itself to flexibly adapt to global economic risks in the form of tariffs, political biases, etc.?
Does Tesla still have a battery supply constraint (noted on Q4 ER call) and how does this change w/tariffs?
Did Tesla experience any meaningful changes in order inflow rate in Q1 relating to all of the rumors of “brand damage”?
Regarding the Tesla Optimus pilot line, could you confirm if it is currently operational? If so, what is the current production rate of Optimus bots per week? Additionally, how might the recent tariffs impact the scalability of this production line moving forward?
Robotaxi still on track for this year?’
Look Back at 2025 Q1 Numbers
Most of Tesla’s Q1 deliveries, 323,800 units, were unsurprisingly for the Model 3 and Model Y, while the “Other Models” category (including the Cybertruck, Model S, and Model X) accounted for 12,881 deliveries.
Comparing these numbers to Q1 2024, the Model 3/Y is down about 13%, while the Model S/X and Cybertruck are down about 24%.
In terms of production, Tesla built 345,454 Model 3/Y vehicles and 17,161 from its “Other Models” line. The company attributed the production drop to the Model Y changeover but stated that the ramp is “going well.” However, deliveries and production were both down year over year.
Q1 2025
Q1 2024
Q4 2024
Model 3/Y Deliveries
323,800
369,783
471,930
Model 3/Y Production
345,454
412,376
436,718
Other Models Deliveries
12,881
17,027
23,640
Other Models Production
17,161
20,995
22,727
Total Deliveries
336,681
386,810
495,570
Total Production
362,615
433,371
459,445
Although Tesla doesn’t officially break down its numbers by region, Troy Teslike, who closely monitors Tesla's delivery and production numbers has provided estimates that show Tesla’s deliveries across regions. Tesla delivered the most vehicles in China this past quarter, so it’ll be interesting to see if this trend continues.
His estimates for the regional break down are below:
With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.
Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.
Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.
If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.
From Urban Core to Rural Roads
The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.
In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges.
In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.
In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.
Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.
Rapid Scaling
This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.
While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.
Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.
For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.
Toll Booth Magic
In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.
If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.
While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.
It can see the transaction happening using the repeater & pillar cameras. Hence FSD proceeds on its own when the transaction is complete 😎
FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.
The Bigger Picture
This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.
If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.
These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.
This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.
These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.
