Investor's Corner
Tesla at $420 is a bargain considering its Autopilot data is key to a self-driving future
Questions continue to swirl around the fate of Tesla stock (NASDAQ:TSLA) as the market waits for updates about Elon Musk’s initiative to make the company private. Tesla’s privatization, provided that it does go through, will be the largest one in history, amounting to around $70 billion at Musk’s target of $420 per share. While this amount is substantial, $420 is actually a pretty good deal for Tesla’s would-be funding partners, considering the volume of Autopilot data the company has gathered from its Model S, Model X and Model 3 fleet.
Tesla’s possible privatization has caused wild swings in Tesla’s stock price, though not too far a departure from its usual volatility. Upon Musk’s announcement, shares climbed up 11%, before falling back as reservations emerged from critics about the plausibility of the company’s privatization. On Thursday’s after-hours, Tesla stock recovered some of its losses as the company’s board of directors issued a statement stating that they would formally review Musk’s plans.
Gene Munster, Managing Partner at Loup Ventures believes that there is more than a 50% chance that Tesla would become a private company. Munster noted that while concerns about the possible repercussions of Musk’s go-private Twitter announcement might affect the stock, the effects would only be felt at the very short-term. Ultimately, the venture capital firm believes that neither Tesla nor Elon Musk is at legal risk, especially since the company stated on a 2013 Form 8-K that social media might be used as an outlet for disseminating company information. Loup Ventures also estimates that Tesla would need around $25-$30 billion to take the electric car and energy company private.
If Loup Ventures’ calculations prove accurate, the entities providing the company with the funding to go private would be getting quite a deal at $420 per share. Apart from Tesla’s electric car and energy business — both of which are growing at an immense rate — investors would also be buying into a company that holds what could very well be automotive world’s most extensive amount of real-world driving data. As of July, a report from MIT’s Lex Fridman estimated that Tesla had acquired around 1.2 billion miles on Autopilot and approximately 7.8 billion miles in Autopilot “Shadow Mode.”
In comparison, Waymo’s fleet of vehicles have driven a total of 5 million real-world miles in self-driving mode and an additional 5 billion miles in simulation as of May this year. GM Cruise, another leader in self-driving technology, does not release the numbers of its fleet, but accident and disengagement reports based on autonomous miles driven provide a rough estimate of the miles Cruise’s vehicles have traveled so far. Between June 2015 and November 2017, the California Department of Motor Vehicles estimated that GM Cruise’s self-driving cars covered a total of 141,691 miles in CA. Morgan Stanley analyst Adam Jonas estimates Waymo to be worth $175 billion. GM Cruise, on the other hand, is valued at $11.5 billion after securing more funding from Softbank’s Vision Fund earlier this year.
Tesla’s development of self-driving technologies has taken a backseat in the media coverage of the company, particularly during the past year as the company struggled with the Model 3 ramp. Regardless of this, Keith Wright, a professor from Villanova University, notes that Elon Musk’s decision to invest heavily in AI would likely pay off soon. Among the participants in the self-driving race, Tesla is the company with the most real-world experience. Elon Musk once noted that it would likely take around 6 billion real-world miles before regulators would approve self-driving technology. So far, Tesla is the company closest to that mark.
Tesla’s focus on data gathered from real-world miles was emphasized by Nidhi Kalra, a senior information scientist for the RAND Corporation, a nonprofit research organization. According to the information scientist, simulations such as the ones used by Waymo to train its fleet of autonomous vehicles are a “simplification” of the real world.
“The problem with any simulator is that it’s a simplification of the real world. Even if it stimulates the world accurately, if all you’re simulating is a sunny day in Mountain View with no traffic, then what is the value of doing a billion miles on the same cul-de-sac in Mountain View? I’m not saying that’s what anyone’s doing but without that information we can’t know what a billion miles really means. Real-world miles still really, really matter. That’s where, literally, the rubber meets the road, and there’s no substitute for it,” Kalra said.

And Tesla is just getting started. In Tesla’s Q2 2018 earnings call, the company provided an update on its efforts to develop its own self-driving hardware. According to Pete Bannon, who leads the development of Hardware 3, the company’s new hardware is different from the industry standard.
“We did a survey of all of the solutions that were out there for running neural networks, including GPUs. We went and talked to other people like at ARM that were building embedded solutions for running neural networks. And pretty much everywhere we looked, if somebody had a hammer, whether it was a CPU or a GPU or whatever, they were adding something to accelerate neural networks. But nobody was doing a bottoms-up design from scratch, which is what we elected to do.”
“We had the benefit of having the insight into seeing what Tesla’s neural networks looked like back then and having projections of what they would look like into the future, and we were able to leverage all of that knowledge and our willingness to totally commit to that style of computing to produce a design that’s dramatically more efficient and has dramatically more performance than what you can buy today.”
Tesla could very well be approaching its most significant turning point in years. Regardless of whether Tesla becomes private or not, one thing seems sure — once Tesla starts rolling out its first full self-driving features, and once Hardware 3 makes it to the company’s fleet, leaders in the self-driving industry would probably be forced to recognize the presence of a new, possibly dominant player.
Disclosure: I have no ownership in shares of TSLA and have no plans to initiate any positions within 72 hours.
Elon Musk
SpaceX’s newest logo confirms everything about what it’s become
SpaceX officially absorbed xAI under the SpaceXAI brand, completing the largest private merger in history.
SpaceX made its corporate transformation official in May 2026 when Elon Musk posted on X that xAI would cease to exist as a standalone company. “xAI will be dissolved as a separate company, so it will just be SpaceXAI, the AI products from SpaceX,” he wrote.
A new SpaceXAI logo was announced today, visually embedding the xAI letters inside the SpaceX identity, which can be seen as a deliberate design choice that signals the merger is not a partnership but a full absorption and XAi a core function of the same company. The same way Starlink is not a separate brand but a SpaceX product. The announcement closed the loop on a process that began February 2, 2026, when SpaceX acquired xAI in the largest private merger in history, valued at $1.25 trillion. SpaceX at $1 trillion and xAI at $250 billion.
We are now @SpaceXAI. pic.twitter.com/ema66xDWC9
— SpaceXAI (@SpaceXAI) July 6, 2026
The reason SpaceX bought xAI was stated plainly by Musk at the time of the deal: to build orbital data centers. SpaceX had simultaneously filed with the FCC to launch up to one million satellites designed to function as AI compute nodes in low Earth orbit, escaping what Musk described as the energy constraints limiting AI development on Earth.
xAI provided the AI software stack, with Grok, the X platform, and the Colossus supercomputer infrastructure in Memphis with over 220,000 NVIDIA GPUs, while SpaceX provided the rockets, Starlink, and the capital base to fund it. The two companies needed each other. xAI was burning $2.5 billion in losses on $250 million in revenue. SpaceX was generating an estimated $8 billion in profit on $15 billion in revenue and needed an AI narrative to command the valuation it was targeting for its IPO.
What SpaceX has done, regardless of how the orbital AI vision ultimately plays out, is walk into a public market as something no company has been before: a rocket manufacturer, satellite internet provider, AI software company, social media platform, and supercomputer operator under one ticker. Whether that combination is worth $2 trillion depends entirely on which of those businesses you believe in most.
Investor's Corner
Tesla challenges startups to score a gig inside its most advanced European factory
Tesla is challenging startups to bring their best battery tech directly to Gigafactory Berlin.
Tesla has issued an open challenge to startups across Europe, inviting them to bring their best battery technology directly to the floor of Gigafactory Berlin. The program, called the JUNI x Tesla Battery Cell Giga Challenge, opened applications this month with a deadline of July 24, 2026, and is targeting startups with solutions that can make battery cell manufacturing faster, cheaper, safer, and more scalable at an industrial level.
The timing of the challenge is directly tied to Tesla’s most aggressive European battery investment yet. On May 12, 2026, Giga Berlin plant manager André Thierig announced a $250 million investment to scale the factory’s annual 4680 cell production capacity from 8 GWh to 18 GWh, more than doubling the previous target set just months earlier in December 2025. Thierig confirmed the expansion on X, saying the investment “will enable 18 GWh of annual 4680 cell production and create more than 1,500 new jobs.” Combined with a previously announced battery investment at the Grunheide site now approaches $1.2 billion.
Today, we announced a $ 250m investment for our Giga Berlin Cell factory. This will enable 18GWh of annual 4680 cell production and create more than 1500 new jobs. Good news during challenging times for the German industry. pic.twitter.com/ou4SWMfWh9
— André Thierig (@AndrThie) May 12, 2026
The challenge is looking specifically for startups with proven solutions across five categories: materials, equipment, operations, automation, and artificial intelligence. Applications are screened directly by Tesla’s cell manufacturing team in Grunheide, and the strongest submissions move through technical discussions, a pitch day in front of Tesla stakeholders, and potentially a paid pilot project with the cell team. Tesla is not looking for ideas at concept stage. The program requires applicants to demonstrate working prototypes, test data, or prior pilots before being considered.
The historical context matters here. Elon Musk first announced plans for what he called the world’s largest battery cell production facility alongside the Giga Berlin car factory back in 2020, targeting up to 250 GWh of annual capacity. Those plans were shelved in 2022 when Tesla shifted its battery investment focus to the United States to take advantage of Inflation Reduction Act incentives. The revival of cell production at Giga Berlin, now backed by over $1 billion in committed capital, represents a return to an ambition that was set aside for three years. As Teslarati has reported, the 4680 format is central to Tesla’s long-term cost reduction strategy across vehicles, energy storage, including the Tesla Semi and Cybercab.
By opening the challenge to outside startups, Tesla is acknowledging that reaching 18 GWh at Grunheide will require technology it does not currently have in-house, and it is willing to pay for the right solutions. For a startup in the battery supply chain, a paid pilot with Tesla’s European cell team is as close to a direct commercial path as the industry offers.
Investor's Corner
Tesla crushes Wall Street expectations, beats delivery estimates by over 15 percent
Tesla (NASDAQ: TSLA) beat Wall Street expectations of 406,000 vehicles delivered in Q2 by reporting 480,126 deliveries for the three months ending in June.
Tesla reported it delivered 467,762 Model 3 and Model Y units, while 12,364 Model S, Model X, and Cybertrucks switched hands during the quarter. The Model S and Model X were officially sunset this past quarter and will no longer be part of the company’s Production & Delivery reports moving forward.
🚨 BREAKING: Tesla delivered 480,126 vehicles in Q2, ANNIHILATING Wall Street expectations of 406,000. Production was reported at 451,758.
Deliveries:
Model 3/Y: 467,762
Other Models: 12,364Production:
Model 3/Y: 442,936
Other Models: 8,822 https://t.co/TTHwQAsKt8 pic.twitter.com/7qI4Zj6FE5— TESLARATI (@Teslarati) July 2, 2026
The quarter is a pleasant surprise and a good rebound from Q1, when Tesla slightly missed the Wall Street consensus of 365,645 cars by reporting 358,023 deliveries for the first three motnhs of the year.
Energy storage deployments also provided some strength in Tesla’s delivery report, hitting 13.5 GWh for Q2. This is a particular division of Tesla’s business that has been overwhelmingly robust over the past few years, truly being a strong point of the company’s overall model.
For the year, Tesla analysts still predict deliveries to trend in the 1.69 million unit region, a modest 3 to 5 percent increase from the 1.64 million cars the company delivered last year. Tesla will likely return to more sequential and noticeable year-over-year growth as the Cybercab project starts to ramp up considerably in the next few years.
Tesla has some other potential catalysts to spur vehicle deliveries, too. Not only is it expecting Cybercab to truly start making a change in the next few years, but other vehicles could be entering the company’s lineup.
Tesla sends production Cybercab with no steering wheel, pedals to on-road testing
The slightly longer Model Y L has been a highly speculated release candidate in the U.S. It has already done incredibly well in China, and U.S. buyers have been wanting slightly more interior space than the Model Y. Now that the Model X is gone, it is more needed than ever.
Q2 highlights a pretty stable automotive division within Tesla, and no true concerns arise from these figures, especially considering it managed to beat expectations convincingly.