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Despite Tesla’s growth, the EV revolution still caught the auto industry off guard
The signs of an EV revolution were all there, but it seems like consumer demand for all-electric vehicles was still able to catch veteran automakers off guard. With Tesla currently commanding about 70% of the United States’ electric vehicle sales in the first half of the year, the race to catch up to the trailblazer is on — but it’s a lot easier said than done.
It’s a pretty insane thought today, but when Tesla announced its plans to build a dedicated battery factory to support the Model 3’s ramp, many were skeptical. Back then, many still questioned if there really was a demand for electric cars. This is not the case anymore today. If auto executives were not sure if there would be buyers for EVs before, now they’re worrying if they can build them fast enough.
Electric cars only account for about 6% of the United States’ overall vehicle sales, but this percentage has tripled in the past two years. Meanwhile, sales of other types of cars have declined, as per insights from research firm Motor Intelligence. This was represented by the fact that five of the six fastest-selling cars in the US were electric or plug-in hybrids. Tesla’s Model Y, a crossover, is on track to become one of the world’s best-selling cars.
All-In on EVs
Veteran automakers have expressed their intention to go all-in on EVs, and some, such as GM CEO Mary Barra, have even stated in the past that she believes General Motors can pass Tesla in the future. The same is true for executives from Ford and Volkswagen. But inasmuch as it’s easy to announce such an ambitious target, accomplishing it is a completely different matter.
GM, for example, started its recent EV push with the GMC Hummer EV and the Cadillac Lyric. GM received a lot of support from the Biden administration for its electric vehicle efforts, so much so that Biden dubbed Barra as a leader who electrified the auto industry. Yet, according to The Wall Street Journal, people familiar with the matter have noted that the production of the Hummer EV and Lyriq is still at rates of less than a dozen a day. This was despite the waiting lists of both vehicles stretching into the tens of thousands.
And it’s not just GM. Ford is somewhat in the same boat. The Ford F-150 Lightning is an acclaimed vehicle, and its order books are extremely long. The demand for the vehicle was so notable that Ford had to double its production target twice. In 2020, the company expected its lightning factory to produce 40,000 of the pickups per year, a target that was doubled last year. This past January, as the order books for the Lightning continued to grow, Ford doubled its target again to 150,000 trucks by summer 2023.
Ford’s head of EV programs Darren Palmer provided an idea of the speed at which Ford had to adjust its Lightning targets. “The cement had barely joined to some of the walls, and we were already expanding,” he said.
A Rush for Supplies
A lot of the challenges faced by veteran automakers were due to a lack of parts from the supply chain, as well as a struggle to secure as many batteries as possible. EVs use more computer chips than combustion-powered cars, which made things very challenging during the chip crisis faced by the entire industry. Electric cars also rely on batteries, so carmakers are now in a battery arms race of sorts in an effort to ensure that their EVs can be ramped.
Ultimately, the Journal noted that automakers are in their current situation because many have lowballed their early EV production estimates. Thus, when electric vehicles took off during the pandemic, many executives in the auto industry were caught off guard. Couple this with the fact that newcomers like Rivian and Lucid are also entering the fray, and the auto industry is looking more and more like it’s in the cusp of some real changes.
In a way, it’s simple. If veteran automakers would like to catch up to Tesla, they have to make electric cars that people want to buy. The success of non-Tesla EVs such as the F-150 Lightning, Mustang Mach-E, and the Hyundai Ioniq 5 show that the EV market has enough space for multiple carmakers. But with demand for EVs increasing now, some automakers may end up watching EV only competitors like Tesla increase their lead in the coming years.
The question of whether there is demand for EVs has long been settled. In a statement to the WSJ, Earl Stewart, a Florida-based Toyota dealer, noted that there’s actually a lot of interest in the bZ4X. However, the vehicle’s availability is just not there. Stewart noted that mass adoption of electric vehicles would need affordable electric cars. That being said, he has already taken the leap to EVs — he currently drives a Tesla Model S Plaid.
“Until they bring the prices down, it will just be people like me who can afford to buy EVs and who want to be the first on the block to drive one,” Stewart said.
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
