Investor's Corner
Tesla starts accepting investor questions for its Q1 2022 earnings call
Tesla (NASDAQ:TSLA) is expected to hold its Q1 2022 earnings call on April 20, 2022. The event, which would be held at 4:30 p.m. Central Time / 5:30 p.m. Eastern Time, will feature a discussion of the company’s performance in the first quarter, as well as its outlook. Tesla CEO Elon Musk was present in the previous earnings call, but he is yet to announce if he will be attending the upcoming Q1 2022 Q&A session.
The electric vehicle maker will be posting its financial results for the first quarter of 2022 after markets close on Wednesday, April 2022. Despite headwinds in China due to the country’s ongoing Covid outbreak, Tesla seems to have ended the first quarter on a high note. This was hinted at by the company’s vehicle delivery and production results, which revealed that the company manufactured a total of 305,407 vehicles in Q1 while delivering 310,048 worldwide.
In true Tesla tradition, the company is allowing retail and institutional investors to ask questions during the earnings call’s Q&A portion. The questions are compiled by Say, a startup that aims to create and develop investor communication tools. As of writing, only retail investors have placed their inquiries for Tesla, though a good number of them have already been compiled.
The following then are ten of the most notable questions from Tesla’s retail investors for the electric vehicle maker’s Q1 2022 earnings call.
- What is (the) Tesla Construction team busy with these days? Are they planning (an) expansion of existing factories or onto the next set of new Gigafactories? If factories are the product, we would like to see a next factory announcement before the next model.
- Will Berlin and Austin ramp up at a faster rate than Shanghai did – given Tesla is a producing Y, which you have done at scale already at other factories? Can you talk us through some of the major improvements that will make this possible?
- What is the current run rate of 4680 cell production at Fremont and at Giga Texas? What do you expect run rates for 4680 to be in Fremont, Texas, and Berlin at year-end?
- FSD has come a long way. Can Tesla consider launching a geo-fenced fleet in (a) location like Phoenix? While we solve for general autonomy, it would still be great to have at least one location show the world the proof of concept. FSD already performs flawlessly in such locations.
- When can we expect an App Store? What capabilities will you allow developers?
- At (the) Cyber Rodeo, Elon mentioned that a futuristic driverless Robotaxi vehicle is on the roadmap. When can we expect more details on this product offering to be unveiled? Is this something that people can own, or will this only be offered by Tesla as a service?
- What is the current yield of 4680 production at (the) Kato Rd facility & Giga Texas? Tesla had a stockpile of 1 million cells as of January 2022, and it should’ve been already used up for vehicle production. Please share an update on the 4680 ramp.
- Where would the next factory be built?
- Now that Tesla has made such a huge impact on the Texas economy with opening of its factory in Austin, when can we expect to see direct deliveries in the state?
- What customers are you targeting for Tesla Bot?
A look at the questions currently in Say reveals that investors are interested on the company’s key innovations such as its 4680 battery ramp. Future products such as Optimus (Tesla Bot) and a dedicated Robotaxi that Elon Musk teased during the Cyber Rodeo also seem to have caught the interest of TSLA investors. Of course, developments in projects such as Gigafactory Berlin and Gigafactory Texas, both of which were opened recently, are also points of interest.
A full list of Tesla investor questions for the company’s Q1 2022 earnings call could be found here.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
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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.
Tesla CEO Elon Musk says flying cars are coming
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
