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
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.

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.
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.
Elon Musk
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.

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.
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.
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.

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.
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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