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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.

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Credit: Tesla Asia | X

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.”

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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

  1. When will FSD unsupervised be available for personal use on personally-owned cars? (2,000 votes, 1.2 million shares)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. Robotaxi still on track for this year? (1,300 votes, 426,700 shares)
  7. 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)
  8. Can you provide more details on the plans for HW3 upgrade path for FSD? (411 votes, 376,500 shares)
  9. 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)
  10. When do you expect Robotaxi to expand to all major US cities? (809 votes, 318,900 shares)
  11. 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)
  12. 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)
  13. How is the AI for Optimus progressing? (319 votes, 286,700 shares)
  14. When is Grok coming to Tesla vehicles? And will it be able to control anything in the car? (372 votes, 241,000 shares)
  15. 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

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla hints toward Premium Robotaxi offering with Model S testing

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

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Credit: Sawyer Merritt | X

Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.

Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.

However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.

Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.

Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”

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However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.

Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.

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Rivian unveils self-driving chip and autonomy plans to compete with Tesla

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

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Credit: Rivian

Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.

He said:

“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”

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At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:

“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”

The Hardware

Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.

It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.

RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.

ACM3 specs include:

  • 1600 sparse INT8 TOPS (Trillion Operations Per Second).
  • The processing power of 5 billion pixels per second.
  • RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
  • RAP1 is enabled by an in-house developed AI compiler and platform software

As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”

More Details

Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.

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Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.

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Tesla partners with Lemonade for new insurance program

Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”

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Credit: Tesla

Tesla owners in California, Oregon, and Arizona can now use Lemonade Insurance, the firm that recently said it could cover Full Self-Driving miles for “almost free.”

Lemonade, which offered the new service through its app, has three distinct advantages, it says:

  • Direct Connection for no telematics device needed
  • Better customer service
  • Smarter pricing

The company is known for offering unique, fee-based insurance rates through AI, and instead of keeping unclaimed premiums, it offers coverage through a flat free upfront. The leftover funds are donated to charities by its policyholders.

On Thursday, it announced that cars in three states would be able to be connected directly to the car through its smartphone app, enabling easier access to insurance factors through telematics:

Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”

The strategy would be one of the most unique, as it would provide Tesla drivers with stable, accurate, and consistent insurance rates, while also incentivizing owners to utilize Full Self-Driving for their travel miles.

Tesla Full Self-Driving gets an offer to be insured for ‘almost free’

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This would make FSD more cost-effective for owners and contribute to the company’s data collection efforts.

Data also backs Tesla Full Self-Driving’s advantages as a safety net for drivers. Recent figures indicate it was nine times less likely to be in an accident compared to the national average, registering an accident every 6.36 million miles. The NHTSA says a crash occurs approximately every 702,000 miles.

Tesla also offers its own in-house insurance program, which is currently offered in twelve states so far. The company is attempting to enter more areas of the U.S., with recent filings indicating the company wants to enter Florida and offer insurance to drivers in that state.

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