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Tesla at $420 is a bargain considering its Autopilot data is key to a self-driving future

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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.

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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.

A look at the sensor range of an autonomous Tesla vehicle. [Credit: Tesla]

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.”

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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.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Investor's Corner

xAI targets $5 billion debt offering to fuel company goals

Elon Musk’s xAI is targeting a $5B debt raise, led by Morgan Stanley, to scale its artificial intelligence efforts.

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(Credit: xAI)

xAI’s $5 billion debt offering, marketed by Morgan Stanley, underscores Elon Musk’s ambitious plans to expand the artificial intelligence venture. The xAI package comprises bonds and two loans, highlighting the company’s strategic push to fuel its artificial intelligence development.

Last week, Morgan Stanley began pitching a floating-rate term loan B at 97 cents on the dollar with a variable interest rate of 700 basis points over the SOFR benchmark, one source said. A second option offers a fixed-rate loan and bonds at 12%, with terms contingent on investor appetite. This “best efforts” transaction, where the debt size hinges on demand, reflects cautious lending in an uncertain economic climate.

According to Reuters sources, Morgan Stanley will not guarantee the issue volume or commit its own capital in the xAI deal, marking a shift from past commitments. The change in approach stems from lessons learned during Musk’s 2022 X acquisition when Morgan Stanley and six other banks held $13 billion in debt for over two years.

Morgan Stanley and the six other banks backing Musk’s X acquisition could only dispose of that debt earlier this year. They capitalized on X’s improved operating performance over the previous two quarters as traffic on the platform increased engagement around the U.S. presidential elections. This time, Morgan Stanley’s prudent strategy mitigates similar risks.

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Beyond debt, xAI is in talks to raise $20 billion in equity, potentially valuing the company between $120 billion and $200 billion, sources said. In April, Musk hinted at a significant valuation adjustment for xAI, stating he was looking to put a “proper value” on xAI during an investor call.

As xAI pursues this $5 billion debt offering, its financial strategy positions it to lead the AI revolution, blending innovation with market opportunity.

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Tesla tops Cathie Wood’s stock picks, predicts $2,600 surge

Tesla’s future lies beyond cars—with robotaxis, humanoid bots & AI-driven factories. Cathie Wood predicts a 9x surge in 5 years.

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Cathie Wood shared that Tesla is her top stock pick. During Steven Bartlett’s podcast “The Diary Of A CEO,” the Ark Invest founder highlighted Tesla’s innovative edge, citing its convergence of robotics, energy storage, and AI.

“Because think about it. It is a convergence among three of our major platforms. So, robots, energy storage, AI,” Wood said of Tesla. She emphasized the company’s potential beyond its current offerings, particularly with its Optimus robots.

“And it’s not stopping with robotaxis; there’s a story beyond that with humanoid robots, and our $2,600 number has nothing for humanoid robots. We just thought it’d be an investment, period,” she added.

In June 2024, Ark Invest issued a $2,600 price target for Tesla, which Wood reaffirmed in a March Bloomberg interview, projecting the stock to reach this level within five years. She told Bartlett that Tesla’s Optimus robots would drive productivity gains and create new revenue streams.

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Elon Musk echoed Wood’s optimism in a CNBC interview last month.

“We expect to have thousands of Optimus robots working in Tesla factories by the end of this year, beginning this fall. And we expect to scale Optimus up faster than any product, I think, in history to get to millions of units per year as soon as possible,” Musk said.

Tesla’s stock has faced volatility lately, hitting a peak closing price of $479 in December after President Donald Trump’s election win. However, Musk’s involvement with the White House DOGE office triggered protests and boycotts, contributing to a stock decline of over 40% from mid-December highs by March.

The volatility in Tesla stock alarmed investors, who urged Musk to refocus on the company. In a May earnings call, Musk responded, stating he would be “scaling down his involvement with DOGE to focus on Tesla.” Through it all, Cathie Wood and Ark Invest maintained their faith in Tesla. Wood, in particular, predicted that the “brand damage” Tesla experienced earlier this year would not be long term.

Despite recent fluctuations, Wood’s confidence in Tesla underscores its potential to redefine industries through AI and robotics. As Musk shifts his focus back to Tesla, the company’s advancements in Optimus and other innovations could drive it toward Wood’s ambitious $2,600 target, positioning Tesla as a leader in the evolving tech landscape.

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Investor's Corner

Goldman Sachs reduces Tesla price target to $285

Despite Goldman Sach’s NASDAQ: TSLA price cut to $285, Tesla boasts $95.7B in revenue & nearly $1T market cap.

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tesla-model-y-giga-berlin-delivery
(Credit: Tesla)

Goldman Sachs analysts cut Tesla’s price target to $285 from $295, maintaining a Neutral rating.

The adjustment reflects weaker sales performance across key markets, with Tesla shares trading at $284.70, down nearly 18% in the past week. The analysts pointed to declining sales data in the United States, Europe, and China as the primary driver for the revised outlook. In the U.S., Tesla’s quarter-to-date deliveries through May fell mid-teens year-over-year, according to Wards and Motor Intelligence.

In Europe, April registrations plummeted 50% year-over-year, with May showing a mid-20% decline, per industry data. Meanwhile, the China Passenger Car Association (CPCA) reported a 20% year-over-year drop in May, despite a 5.5% sequential increase from April. Consumer surveys from HundredX and Morning Consult also shaped Goldman Sachs’ lowered delivery and EPS forecasts.

Goldman Sachs now projects Tesla’s second-quarter deliveries to range between 335,000 and 395,000 vehicles, with a base case of 365,000, down from a prior estimate of 410,000 and below the Visible Alpha Consensus of 417,000. Despite these headwinds, Tesla’s financials remain strong, with $95.7 billion in trailing twelve-month revenue and a $917 billion market capitalization.

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Regionally, Tesla’s challenges are stark. In Germany, the German road traffic agency KBA reported Tesla’s May sales dropped 36.2% year-over-year, despite a 44.9% surge in overall electric vehicle registrations. Tesla’s sales fell 29% last month in Spain, according to the ANFAC industry group. These declines highlight shifting consumer preferences amid growing competition.

On a positive note, Tesla is making strategic moves. The Model 3 and Model Y are part of a Chinese government campaign to boost rural sales, potentially mitigating losses. Piper Sandler analysts reiterated an Overweight rating, emphasizing Tesla’s supply chain strategy.

Alexander Potter stated, “Thanks to vertical integration, Tesla is the only car company that is trying to source batteries, at scale, without relying on China.”

As Tesla navigates these delivery challenges, its focus on innovation and supply chain resilience could help it maintain its edge in the electric vehicle market despite short-term hurdles.

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