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Tesla’s Q1 delivery results highlight the need for a Model S and Model X update

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One of the most notable takeaways from Tesla’s Q1 2019 vehicle production and deliveries report was the steep decline in Model S and Model X sales. Over the course of the quarter, Tesla produced 14,150 Model S and X, a drastic drop from the 25,000 units that were manufactured last quarter. Deliveries of the flagship sedan and SUV also fell to 12,100 units. Under these circumstances, it appears that the time is now right for Tesla to start preparing for the release of an updated Model S and Model X.

A steep decline

Tesla did not provide a commentary behind the decline in Model S and X sales. This does not mean that the lower production and delivery figures of the vehicles were a complete surprise, as Tesla did shift a lot of its efforts in producing the Model S in favor of the Model 3 in Q1. The vehicles’ entry-level trim, the 75D variant, was also discontinued. Thus, the signs of a decline were already there. What was really surprising was the scope and gravity of the decline.

A possible explanation behind the Model S and Model X’s numbers in the first quarter may lie in the simple fact that the vehicles, particularly the full-size premium sedan, are getting long in the tooth. Tesla started producing the Model S in 2012, and the vehicle has pretty much stayed the same since then, save for a facelift when the Model X was released. Granted, improvements were rolled out to the Model S as soon as they were available, as noted by Elon Musk in a tweet, but design-wise, Tesla’s flagship sedan is still practically competing in the market with a nearly 7-year-old interior and exterior.

The Model 3’s immense success did not help the Model S’ case either. It should be noted that Tesla anti-sold the Model 3 after it was unveiled, with the company and Elon Musk asserting that the Model S was a superior vehicle. Now that the Model 3 is making a mark in several markets across the globe, it is becoming evident that the electric sedan is simply Tesla’s best bang-for-your-buck car. With Tesla’s latest hardware and batteries, the Model 3 is a solid choice. Other Model 3-specific features, such as Track Mode for the Performance variant, add to the vehicle’s attractiveness to car buyers.

The Model 3 is such a solid vehicle that it is starting to make the Model S a harder sell, at least in its present iteration. Granted, the Model S is larger, and it has more bells and whistles such as Smart Air Suspension and a second display, but these are luxuries that a significant number of car buyers will likely be willing to forego in exchange for savings associated with a Model 3 purchase. The Tesla Model Y appears set to do the same to the Model X as well, as the vehicle presents much of the premium SUV’s advantages in a smaller package, at a far more affordable price.

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A better Model S and X in the Model 3 era

If Tesla wishes to rekindle the interest and justify the higher prices of its flagship sedan and SUV, it would be a good idea to introduce updated versions of the vehicles as soon as the company is able. These improvements can come in various forms, such as better range, significantly better performance, and a far more exquisite exterior and interior design. With these improvements in place, the Model S and X will not only have the advantage of larger cabin space and a handful of unique features over their more affordable stablemates. They will be vehicles that are truly, without a doubt, a class above the Model 3 (and the Model Y for that matter).

It’s not like Tesla does not seem to be preparing for a potential Model S and Model X update either. Last year, a patent application emerged depicting a Model S/X dashboard equipped with the Model 3’s clever and acclaimed HVAC system. Panasonic, Tesla’s battery partner, also announced last November that it is doubling down on its partnership with the electric car maker by bringing some of its Japan-based battery cell production activities to the United States.

In a statement to the Nikkei Asian Review, Panasonic stated that it will be bringing its operations that build the Model S and Model X’s 18650 cells over to a “US-based unit starting (next) April (2019).” Elon Musk noted during the Q4 earnings call that there are no plans to change the Model S and Model X’s batteries to 2170 cells. Perhaps improved 18650 cells are in order with Panasonic’s move to the US? One can hope.

At this point in Tesla’s history, it would probably be wise to temper expectations with regards to the Model S and Model X’s quarterly sales. Tesla is now at a point where it is pursuing the mass market, and the company is accomplishing this with the Model 3 (and later, the Model Y). The Model S and Model X will definitely still be the company’s flagships, but they will likely just see a sustained demand of perhaps 25,000 per quarter, and that’s completely fine. Both vehicles were brought to market to prove that electric cars can be better than their gasoline-powered counterparts. Both vehicles already accomplished their mission. The Model 3 and Model Y is proof of that.

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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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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.

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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.

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Investor's Corner

Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues

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Credit: Tesla

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.

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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.

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Credit: Grok

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.

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