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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
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Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
