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Buy Tesla or Build One: Why Apple Should Make a Car
Once Upon a Tesla
First there were the rumors that Apple might buy Tesla. Then came the loose talk about Apple employing an army of engineers to build their own car, many apparently leaving Tesla to join the effort and cashing in nicely. Now the rumors about Apple buying Tesla are back. Really, it’s hard to keep up.
It’s difficult to believe that the closed shop and tight-lipped Apple culture would purposely leak this kind of intel. Was it a disgruntled employee? Perhaps it’s just more difficult to keep a secret these days with Social Media eavesdropping as if it were a fly on the wall. Or, maybe it’s nothing at all.
Disclaimer
I drive a Model S and own TSLA stock. I’m an Apple fan, but don’t own APPL. My first computer was a Macintosh Powerbook 165 Series made in 1993. I still have it and it boots up even today. I’ve purchased a vast number of Apple products over the decades and I can’t think of a brand I’m more invested in than Apple. As an admirer of great design they won me over early on and continue to do so. And, I’ll be one of the first to get my wrist on the Apple Watch in April.
Barriers Were Made to be Broken
The idea of Apple designing and building a car is not new. For years many of us have been playing the game, “What would (fill in the blank) look like if Apple made it?” It’s right up there with the design school project to sketch out the “internet enabled refrigerator.” Apple broke the music barrier, the phone barrier and the design barrier for computers. Tesla broke the electric car barrier and they did it in ten years. They are the Jackie Robinson of the auto industry having flung open the door to electric vehicles while traditional auto makers refused to even seriously try.
Certainly there is some effort out of Detroit and others as of late and they should be applauded for realizing their miss. Mr. Musk’s gift of releasing Tesla’s patents was completely in line with the Tesla Way. I wonder how much of that intellectual property is being incorporated by others? My guess is not much. Companies prefer to take credit for their own innovation and invention; always thinking they can do it better.
Panic in Detroit
The media likes stirring the pot about how BMW is going to eat Tesla’s lunch and GM could put Tesla out of business tomorrow. And how Porsche is developing a “Tesla Fighter.” Today’s electric car activity outside of Tesla would not even be in the blue sky discussions if it weren’t for the success of the Model S. Tesla should not be dismissed as an “ankle biter,” which I would define as a non-threatening annoyance. Tesla is in fact a real threat to the car “smoke stack” industry. Respect Tesla or not, but know they are not going away. They may evolve or merge and it may not always be about cars, but it will likely be about some combination of energy and transportation, built on software and brilliant design.
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Tesla’s 85kWh Model S encountering new competition in the EV space from BMW.
I make no bold predictions about Tesla’s potential market cap or when Apple will buy Tesla or for how much. That’s not my arena so I will stay in my lane. I agree it’s fun, but the stakes are on an entirely new level here. This activity is about something more important than corporate profits. (I know profits are important. I work in financial services). Tesla is fundamentally about designing and enabling an entirely new future that is more environmentally responsible than the past and better for consumers.
Tesla should inspire our imagination, not make us think about their stock price or how many cars they sold yesterday. Google didn’t think about their stock price when they launched their Autonomous Car project. Newer companies have a distinct advantage in that they don’t need to repack their baggage. When you lack a history it’s easier to make a better future.
It’s fascinating to me that Tesla and potentially Apple have more insight into what the “car of the future” could be than GM, Ford, or Chrysler. Is Silicon Valley the new Detroit?
Why Apple Must try for a Car
The world has become more connected over the last few years. The Internet of Things, powerful wireless connectivity and the transition to internet IPv6 will greatly expand the number of IP addresses that can be supported and makes a fully connected world possible. Apple’s seamless integration of device, content and software has made that world vision believable.
A large 17″ touchscreen center stack on the Model S provides an iPad-like experience.
A large touchscreen in a car like the Tesla could emulate your Mac, or iPad, or iPhone screen with shared apps and programs. My iCalendar already synchs with that touchscreen from my iPhone as soon as I open the door. Apple’s software capabilities could take this to fascinating extremes. Music, programs, even Siri are all possible in an Apple Car operating system. Not to mention self-driving cars and the ultimate vision to eliminate collisions.
I believe the challenge for Apple lies in the hardware. A car is not a music player or a phone. No one drives an Apple product. It doesn’t have wheels or doors; nor does it carry precious human cargo. There are very few laws that govern phone safety. No crash tests to pass, or airbags to install. A car is not just a software engineering exercise that needs a shell. It’s a big, complex, and messy manufacturing problem that cannot be outsourced to Foxconn.
Tesla does have amazing software, but it did not, and could not abandon the deeply ingrained culture of what it means to own and drive a car. Tesla’s big robotic engineering science coupled with Apple’s software capabilities would make an unstoppable combination.
Tim Cook tackling transportation is akin to Steve Jobs entering the retail space. It makes perfect sense for Apple and Apple’s vision. Their culture is to be a catalyst for innovation, vision and ultimately forward change. These are arguably the most important attributes for any business or culture.
If Apple is serious about making a car, they can choose their adventure. Buy Tesla, or build it on their own. Either way, I’m excited that we have another bright set of minds at work on disrupting a carbon monopoly. If Apple is now seriously in the game, it’s GM, Ford, Chrysler, BMW, Toyota, Honda, Nissan, BMW, Subaru… who should keep an eye on their lunch.
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My One Prediction
Fast forward to 2021. Apple unveils their version of a car. Turns out I do have a prediction after all, and it’s rock solid. Apple will not sell their cars through a dealership network.
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
