Investor's Corner
Tesla to focus on “narrow AI” and neural maps in next-gen Autopilot
Tesla reported Q2 financials yesterday which lacked new actionable information for Tesla traders, but provided some unexpected details on one topic, autonomous driving.
Neel N. Mehta of Morgan Stanley was first to ask for a “an update on Tesla’s proprietary mapping initiatives.”
Elon initially responded that “I think we would prefer to be confidential in that regard,” but Elon being Elon further explained that “what we’ve said thus far is that there’s need to have much higher definition maps than currently exists anywhere in the world in order to have full autonomy. And we’re in the process of building those and I think making good progress.”
Later on in the call, James J. Albertine of Consumer Edge Research asked to “understand in more detail I think how you [Elon] plan to get to fully autonomous.” Elon finally relented and said “Well, again, major product announcements are not – I shouldn’t do those on an earnings call, obviously. And all I’d say is that full autonomy is going to come a hell of a lot faster than anyone thinks it will. And I think what we’ve got under development is going to blow people’s minds. It blows my mind, so.”
Elon was not done. Colin Rusch of Oppenheimer went back on the subject and asked “how you guys are going to approach that functionality going forward with the driver assist in the autonomous driving push going forward?” Elon answered that “I think we’ll have a more significant announcement on that later. So it’s not really – earnings call is not the right time for that except that it will be a Tesla solution, internal solution.”
The analysts were not done with the topic. Brad Erickson of Pacific Crest Securities pounded on asking “Just had a quick follow up, I guess, on something that’s been asked a couple of times; take another run at it. I guess given that you’re obviously no longer working with this key supplier [Mobileye] around full autonomy. What are the major hurdles that you see for Tesla here to overcome to get to full autonomy? Is it just a case of software development, lots more miles driven and basically getting the right people in place? Any color on sort of some of the key challenges you’re facing and where you’re particularly focused for delivering full autonomy at some point?”
“It’s exciting, it blows me away, the progress we’re making.” – Elon Musk
Elon finally gave some more details: “Well, full autonomy is really a software limitation. I mean the hardware is just to create full autonomy, so it’s really about developing advanced, narrow AI for the car to operate on. I want to emphasize narrow AI, it’s like not going to take over the world, but it needs to be really good at driving a car. So increasingly sophisticated neural maps that can operate in reasonably sized computers in the car. That’s our focus. I’m very optimistic about this. It’s exciting, it blows me away, the progress we’re making. So I think if I’m this close to it and it’s blowing me away, it’s really going to blow other people away when they see it for the first time.”
According to Wikipedia, “narrow AI,” also known as “weak AI”, “defines non-sentient computer intelligence or AI that is focused on one narrow task. Weak AI is defined in contrast to either “strong AI” (a machine with consciousness, sentience and mind) or “artificial general intelligence” (a machine with the ability to apply intelligence to any problem, rather than just one specific problem).” Wikipedia cites Apple’s Siri as an example of a “narrow AI”.
Combining all of Elon’s responses, we can expect a major [significant] announcement regarding an internal Tesla solution to autonomous driving, which will involve a combination of “narrow AI” software implementing sophisticated neural maps, and much higher definition maps but likely no major new hardware. So much for being “confidential.”
This is great news to current Tesla owners because it is a “software” solution: current Model S, Model X and eventual Model 3 owners may be capable of full autonomous driving.
If Elon thinks that all of this “is going to blow other people away”, it probably will.
Photo credit: Garth Woodworth
Elon Musk
Tesla locks in Elon Musk’s top problem solver as it enters its most ambitious era
The generous equity award was disclosed by the electric vehicle maker in a recent regulatory filing.
Tesla has granted Senior Vice President of Automotive Tom Zhu more than 520,000 stock options, tying a significant portion of his compensation to the company’s long-term performance.
The generous equity award was disclosed by the electric vehicle maker in a recent regulatory filing.
Tesla secures top talent
According to a Form 4 filing with the U.S. Securities and Exchange Commission, Tom Zhu received 520,021 stock options with an exercise price of $435.80 per share. Since the award will not fully vest until March 5, 2031, Zhu must remain at Tesla for more than five years to realize the award’s full benefit.
Considering that Tesla shares are currently trading at around the $445 to $450 per share level, Zhu will really only see gains in his equity award if Tesla’s stock price sees a notable rise over the years, as noted in a Sina Finance report.
Still, even at today’s prices, Zhu’s stock award is already worth over $230 million. If Tesla reaches the market cap targets set forth in Elon Musk’s 2025 CEO Performance Award, Zhu would become a billionaire from this equity award alone.
Tesla’s problem solver
Zhu joined Tesla in April 2014 and initially led the company’s Supercharger rollout in China. Later that year, he assumed the leadership of Tesla’s China business, where he played a central role in Tesla’s localization efforts, including expanding retail and service networks, and later, overseeing the development of Gigafactory Shanghai.
Zhu’s efforts helped transform China into one of Tesla’s most important markets and production hubs. In 2023, Tesla promoted Zhu to Senior Vice President of Automotive, placing him among the company’s core global executives and expanding his influence beyond China. He has since garnered a reputation as the company’s problem solver, being tapped by Elon Musk to help ramp Giga Texas’s vehicle production.
With this in mind, Tesla’s recent filing seems to suggest that the company is locking in its top talent as it enters its newest, most ambitious era to date. As could be seen in the targets of Elon Musk’s 2025 pay package, Tesla is now aiming to be the world’s largest company by market cap, and it is aiming to achieve production levels that are unheard of. Zhu’s talents would definitely be of use in this stage of the company’s growth.
Tesla analyst Andrew Percoco of Morgan Stanley teased the company’s dominance in its self-driving initiative, stating that its lead over competitors is “not even close.”
Percoco recently overtook coverage of Tesla stock from Adam Jonas, who had covered the company at Morgan Stanley for years. Percoco is handling Tesla now that Jonas is covering embodied AI stocks and no longer automotive.
His first move after grabbing coverage was to adjust the price target from $410 to $425, as well as the rating from ‘Overweight’ to ‘Equal Weight.’
Percoco’s new note regarding Tesla highlights the company’s extensive lead in self-driving and autonomy projects, something that it has plenty of competition in, but has established its prowess over the past few years.
He writes:
“It’s not even close. Tesla continues to lead in autonomous driving, even as Nvidia rolls out new technology aimed at helping other automakers build driverless systems.”
Percoco’s main point regarding Tesla’s advantage is the company’s ability to collect large amounts of training data through its massive fleet, as millions of cars are driving throughout the world and gathering millions of miles of vehicle behavior on the road.
This is the main point that Percoco makes regarding Tesla’s lead in the entire autonomy sector: data is King, and Tesla has the most of it.
One big story that has hit the news over the past week is that of NVIDIA and its own self-driving suite, called Alpamayo. NVIDIA launched this open-source AI program last week, but it differs from Tesla’s in a significant fashion, especially from a hardware perspective, as it plans to use a combination of LiDAR, Radar, and Vision (Cameras) to operate.
Percoco said that NVIDIA’s announcement does not impact Morgan Stanley’s long-term opinions on Tesla and its strength or prowess in self-driving.
NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief
And, for what it’s worth, NVIDIA CEO Jensen Huang even said some remarkable things about Tesla following the launch of Alpamayo:
“I think the Tesla stack is the most advanced autonomous vehicle stack in the world. I’m fairly certain they were already using end-to-end AI. Whether their AI did reasoning or not is somewhat secondary to that first part.”
Percoco reiterated both the $425 price target and the ‘Equal Weight’ rating on Tesla shares.
Tesla stock (NASDAQ: TSLA) just got a price target boost from its biggest bear, Gordon Johnson of GLJ Research, who raised his expected trading level to one that is 95 percent lower than its current trading level.
Johnson pushed his Tesla price target from $19.05 to $25.28 on Wednesday, while maintaining the ‘Sell’ rating that has been present on the stock for a long time. GLJ has largely been recognized as the biggest skeptic of Elon Musk’s company, being particularly critical of the automotive side of things.
Tesla has routinely been called out by Johnson for negative delivery growth, what he calls “weakening demand,” and price cuts that have occurred in past years, all pointing to them as desperate measures to sell its cars.
Johnson has also said that Tesla is extremely overvalued and is too reliant on regulatory credits for profitability. Other analysts on the bullish side recognize Tesla as a company that is bigger than just its automotive side.
Many believe it is a leader in autonomous driving, like Dan Ives of Wedbush, who believes Tesla will have a widely successful 2026, especially if it can come through on its targets and schedules for Robotaxi and Cybercab.
Justifying the price target this week, Johnson said that the revised valuation is based on “reality rather than narrative.” Tesla has been noted by other analysts and financial experts as a stock that trades on narrative, something Johnson obviously disagrees with.
Dan Nathan, a notorious skeptic of the stock, turned bullish late last year, recognizing the company’s shares trade on “technicals and sentiment.” He said, “From a trading perspective, it looks very interesting.”
Tesla bear turns bullish for two reasons as stock continues boost
Johnson has remained very consistent with this sentiment regarding Tesla and his beliefs regarding its true valuation, and has never shied away from putting his true thoughts out there.
Tesla shares closed at $431.40 today, about 95 percent above where Johnson’s new price target lies.
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