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Tesla’s top investor questions ahead of the Q1 2025 earnings call
Unsupervised FSD, Cybercab, and future models are just a few of the leading topics for the upcoming earnings call.
The next Tesla earnings call is a week away, and many investors have already started voting on which questions they want answered during the meeting.
Shareholders can submit and vote on questions for the upcoming call using the Say Technologies platform and at the time of writing, the page already has a total of 2.59 million Tesla shares represented in the polls across a total of 6,390 participants. The Q1 2025 Tesla earnings call is set for next Tuesday, April 22 at 2:30 p.m. Pacific, and will be hosted live on X.
Currently, the top questions for the call include those about Tesla’s highly anticipated launch of Full Self-Driving (FSD) Unsupervised and the Cybercab, plans for more affordable models, the uncertain global economic climate, the Optimus robot, and more. Shareholders can continue submitting questions on the platform until Monday, April 21 at 1:00 p.m. Pacific.
Tesla reported delivering 336,681 vehicles and producing 362,215 in the first quarter of the year, and the company noted that it lost several weeks of production as it transitioned to building the new Model Y. The company also reported deploying 10.4 GWh of energy storage products, compared to just 4,053 MWh in the first quarter of last year.
Interestingly, Tesla shifted its wording of the earnings call in this year’s Q1 production and delivery report, instead referring to the upcoming meeting as a “Q1 Company Update.”
READ MORE ON Q1 2025: Global EV sales climbed 29% in March, powered by China and Europe
Top 15 questions for Tesla’s Q1 2025 earnings call, by shares represented
- When will FSD unsupervised be available for personal use on personally-owned cars? (2,000 votes, 1.2 million shares)
- 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? (2,000 votes, 890,700 shares)
- How is Tesla positioning itself to flexibly adapt to global economic risks in the form of tariffs, political biases, etc.? (1,400 votes, 640,600 shares)
- Did Tesla experience any meaningful changes in order inflow rate in Q1 relating to all of the rumors of “brand damage”? (728 votes, 562,000 shares)
- Does Tesla still have a battery supply constraint (noted on Q4 ER call) and how does this change w/tariffs? (606 votes, 491,400 shares)
- Robotaxi still on track for this year? (1,300 votes, 426,700 shares)
- 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? (744 votes, 405,400 shares)
- Can you provide more details on the plans for HW3 upgrade path for FSD? (411 votes, 376,500 shares)
- What is the plan to achieve the Whitehouse stated goal of doubling deliveries in 2 years based on specific market segments and regional factory contributions? (398 votes, 364,900 shares)
- When do you expect Robotaxi to expand to all major US cities? (809 votes, 318,900 shares)
- What is the Tesla solution for megapack battery cell supply in the US relating to tariffs and when does it come on line in production volume? Did Tesla import sufficient supply of LFP until US LFP Is ready? (307 votes, 315,200 shares)
- Has Tesla received any formal interest or entered into discussions with other automakers about licensing FSD technology, and if so, can you share any progress or obstacles you’ve encountered in those conversations? (334 votes, 288,900 shares)
- How is the AI for Optimus progressing? (319 votes, 286,700 shares)
- When is Grok coming to Tesla vehicles? And will it be able to control anything in the car? (372 votes, 241,000 shares)
- When will Tesla Insurance be available in all 50 states. I’m from Idaho, and I’m surrounded by states where it is available, but it isn’t available in my state. (195 votes, 224,200 shares)
Tesla reveals its Q1 Supercharger voting winners, opens next round
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
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Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below: