A quick look at the electric vehicle community’s sentiments about Elon Musk on X and platforms like Reddit would suggest that the CEO’s increasing political nature has now become Tesla’s largest liability. Yet as per S&P Mobility, Tesla’s brand loyalty is still incredibly strong. This suggests that even in today’s social media-driven landscape, good products still drive sales and loyalty.
Tesla’s resilient brand loyalty
In its post, S&P Mobility noted that among individual brands, “Tesla continues its run as the leader in brand loyalty with a rate of 67.8% for the first half of 2024.” Vince Palomarez, associate director of loyalty product management at S&P Global Mobility, also noted that Tesla’s customer loyalty has remained constant.
“Tesla has historically been a brand with strong loyal ties among their consumer base, despite a limited product portfolio. Changes in BEV prioritization among other OEMs, along with Tesla’s directive to cut pricing when needed, has kept households from defecting,” Palomarez noted.
S&P Mobility’s findings are extremely interesting as social media trends and media reports have practically been unanimous about the idea that Elon Musk has become poison to Tesla’s brand. As per Palomarez, however, the data does not support this narrative–at least for now.
“We can only report on what we see in the data. In this instance, there is some decline in Tesla’s loyalty for the first half of 2024 vs. 2023; however, it is below one percentage point,” he said, noting that Tesla is still clearly beating other brands. “The brand still remains the industry leader in brand loyalty by a healthy margin. For comparison’s sake, the industry brand loyalty average stands at 52.5% for H1 2024 and no other brand has a loyalty rate above 60%,” the S&P Global Mobility associate director noted.
Good products drive sales and loyalty
Perhaps one of the reasons why Tesla still sees strong brand loyalty among consumers is the fact that the company produces good products, from its electric vehicles to its battery storage systems. Even if Tesla’s vehicles have been beaten by other competitors when it comes to range, efficiency, and 0-60 mph times, the company’s vehicles offer the best value for their price.
A good example of this is the re-engineered Tesla Model 3 Performance, which is an absolute steal at $55,000 for the performance, tech, safety, comfort, and features that it offers. The same is true for the Tesla Model Y, which has effectively outsold its rivals in the all-electric crossover SUV segment despite having the same exterior design since its March 2019 unveiling event.
Consumers gravitate towards good products, leadership be damned. A look at the strong sales in the United States of the Volkswagen Beetle Type 1, a vehicle whose creation was driven by Adolf Hitler’s desire for a people’s car, proves this. The Volkswagen Beetle Type 1 became extremely popular in the United States in the 1960s, less than two decades after World War 2. All in all, almost 5 million Beetle Type 1 units were sold in the United States out of a total of 21.5 million cars worldwide. Part of the reason behind the Beetle Type 1’s success in the U.S. is due to the fact that it is just a great, bang-for-the-buck car.
The list goes on. Ford’s founder, Henry Ford, held deeply antisemitic views. He even brought a local newspaper to publish his own anti-Semitic writings. Ford has thrived despite its founder’s questionable ethics, and the company still produces the best-selling car in the United States today–the F-Series pickup trucks. The 47-year reign of the F-Series as America’s best-selling vehicle could be attributed to the fact that they are just great trucks.
Most amusing is the Reimann family, which owns a controlling stake in JAB Holdings. In 2019, it was revealed that the Reimann family had close ties to the Nazi party. Despite this, one cannot deny the fact that JAB Holdings’ brands, which include Krispy Kreme, Jimmy Choo, and Pret-A-Manger, are still loved by consumers because of their quality and consumer appeal.
Elon Musk’s tweets
There is no doubt that since acquiring Twitter, Elon Musk has become far more willing to share his views on a number of issues, from US and international politics to gender ideology. There is also no doubt that the negative slant in media against Musk and his companies is at an all-time high. The Guardian, just last week, published a guide on how to “rein in” Elon Musk by boycotting Tesla, having foreign governments threaten to arrest Musk, suing the CEO under Section Five of the FTC Act, and terminating contracts with SpaceX.
Musk has always attracted negative media attention, but not at this level.
Considering the nature of Musk’s posts, it is no surprise that some consumers would indeed not purchase Teslas due to the CEO’s social media posts. But ultimately, sales and brand loyalty are a game of numbers. There is a vocal portion of the car-buying community who are extremely open about not purchasing Teslas due to their dislike or hatred of Musk. However, the lines between the EV sector and the greater automotive market are growing thinner. Thus, more regular car buyers may simply be looking at Teslas because they need a car. For such consumers, the politics of Tesla’s CEO may not be a consideration at all.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
