Investor's Corner
It’s clear, Tesla needs a COO and it can’t come soon enough
Tesla’s stock price has fallen nearly 24% in the last month, with the majority of the decline occurring this week. The drastic change isn’t really attributable to a single factor. The company is under pressure across the board, from Model 3 production, Solar Roof delays, concerns of a cash crunch, and delays in Autopilot’s Full Self-Driving capability. While there isn’t one solution to solve all of Tesla’s growing pains, hiring a Chief Operating Officer could help bring some operational stability to the company while curbing any overpromises made to customers and investors.
Elon Musk has been the CEO of Tesla for the past 9.5 years, and with a newly approved multi-billion dollar compensation plan, signs point to Musk taking the reins for at least another 10 years. However, Musk isn’t committing solely to Tesla as he’s also the CEO and CTO of SpaceX, CEO of Neuralink, CEO of The Boring Company, and one can argue that he’s also a full-time Twitter persona.
In his other companies outside of Tesla, Musk has a key executive running the business operations. President and COO Gwynne Shotwell joined SpaceX as the 11th employee in 2002 and has turned Musk’s passion for Space into a business with over $12 billion in order contracts.
Although Tesla has nearly six times more employees than SpaceX, the young space company operates efficiently and akin to a well-oiled machine, according to employees working at SpaceX. Yet, at the same time, Tesla has seen high executive turnover, as Musk holds tight control of the company’s day-to-day management.
Tesla’s need for a “Shotwell Equivalent” is more apparent than ever and for these key reasons:
- Model 3 Production: Bloomberg’s Model 3 production tracker shows that they are below 50% of their end of March production rate target. Musk should have never increased production targets on the vehicle and needed to be far more conservative with his estimates.
- Continuous delays with Autopilot technology: After ditching Mobileye’s technology in autopilot systems 21 months ago, Tesla’s development of the technology has slowed significantly. Musk first said that a Tesla would be able to drive coast-to-coast autonomously by the end of 2017, that has now been moved to mid-2018.
- Need to capitalize on Model S and Model X. Tesla has built a high-margin business out of their Model S and Model X vehicles. At current production rates, the company can generate $2.5 billion in free cash flow from those two vehicles alone. Tesla should use strategic marketing to boost demand for the vehicles, allowing the company to bring in more high-margin revenue.
- Acquisition of SolarCity: Tesla’s acquisition of solar installation company, SolarCity, has failed to provide meaningful value to shareholders. From the outside, it appears as though Tesla’s management team doesn’t have the bandwidth or cash to grow the Solar division. Both of Musk’s cousins Peter and Lyndon Rive have left Tesla after the acquisition to “focus on other projects”.
It would be foolish to think that a COO would solve all of the company’s issues, but having a dedicated executive to manage day-to-day operations could certainly help in preventing executive turnover while keeping employees focused on Tesla’s core mission: to accelerate the world’s transition to sustainable energy.
Who could be Tesla’s new Chief Operating Officer?
I’ve prepared a shortlist of executives that could potentially land themselves as Tesla’s first COO.
1. Mike Sievert (COO of T-Mobile US)
While Sievert doesn’t have automotive experience, he does bring strong experience managing a large employee base and has worked in the technology sector for the past 25 years. Sievert joined T-Mobile in late 2012 as CMO and became COO in 2015. Since joining T-Mobile, Sievert has been crucial to the company’s successful turnaround. And to boot, Sievert has experience working with outspoken CEOs who also moonlight as a Twitter personality.
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2. Julia Steyn (VP Urban Mobility at General Motors and CEO of Maven)
Steyn joined General Motors in 2012 as VP of Merger and Acquisitions and became the VP of Urban Mobility and CEO of GM’s Maven division in late 2015. She has led the company’s initiative into car-sharing with the Maven division and has played a key role in GM’s moves into autonomous vehicles. Prior to joining GM, Steyn was VP at Alcoa, one of the world’s largest aluminum suppliers. She also spent 7.5 years at Goldman Sachs as VP of the Global Natural Resources Group in the Investment Banking division.
3. Alicia Boler Davis (EVP, Global Manufacturing and Labor Relations, General Motors)
Boler Davis has spent the last 24 years at General Motors in a variety of capacities and became EVP of Global Manufacturing and Labor Relations in 2016. She oversees over 150,000 employees in the manufacturing division of GM across 150 different facilities. Prior to her current role, she was SVP of Global Connected Customer Experience where she played a role, like Julia Steyn, in GM’s expansion into car-sharing and autonomous vehicles. Her extensive engineering and managerial experience at GM could bring more order and stability as the company plans to expand production across the globe.
Obviously, this list isn’t comprehensive but should provide a starting point for potential hires. Who do you think should be hired as the first Chief Operating Officer at Tesla?
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
