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Tesla fans bid farewell to the OG Model 3, a true electric driver’s car

(Photo: Andres GE)

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Last week, the Fremont Factory started producing the upgraded Model 3 sedan. With the change, Tesla effectively phased out the original Model 3. It was the end of an era, and numerous electric vehicle enthusiasts expressed their appreciation for the vehicle. The original Model 3, after all, is what made Tesla into a mainstream automaker — a company that is considered the undisputed trailblazer in the EV sector. 

As we bid farewell to the original Model 3, it seems pertinent to look behind the vehicle that changed it all for the electric vehicle movement. While the Model S proved that EVs can be just as good or even better than combustion-powered cars, the Model 3 proved that EVs can compete with ICE-powered vehicles at a competitive price. 

And that changed everything. 

Tesla’s iPhone moment

The Model 3 made a lot of headlines even before it was unveiled. At the time, the world was shocked as electric vehicle enthusiasts lined up outside Tesla stores so they could place a reservation for the Model 3, not unlike Apple fans waiting for the newest iPhone. But unlike Apple fans lining up for the newest iPhone, the Tesla fans lined up for a car whose design and specs are yet to be revealed. 

That was a huge vote of confidence for Tesla and a huge step forward for the electric vehicle movement as a whole. It did, if any, show that there is ample interest in electric cars, provided that they are high quality and well-designed. The Model 3 is both of these things.

The OG mainstream Tesla

The original Tesla Roadster proved that electric cars can be taken seriously. The Model S and Model X proved that EVs can be objectively and legitimately better than combustion-powered cars on every important metric. The Model 3 proved that EVs are ready for the mainstream market, and it was the success of the all-electric sedan that ultimately allowed Tesla to bring the Model Y to market. 

Needless to say, without the Model 3, there would be no Model Y. And if it were not for the fact that the Model 3 was so well-loved all over the world, Tesla would have had a far harder time cracking the million-vehicle mark at all. 

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“An AK-47 Disguised as a Butter Knife”

There are a lot of things to love about the Model 3. It’s filled to the brim with tech and safety features, even in its base model, and its performance is amazing. When Tesla started shipping Basic Autopilot as standard, the Model 3 pretty much became the best bang-for-the-buck car in the market. But beyond the tech and the features, the Model 3 is simply a great driver’s car. Chris Harris of Top Gear, during a review of the Model 3 Performance, remarked that the vehicle is an “AK-47 disguised as a butter knife.” That’s a perfect description of the Model 3. 

It would not be an exaggeration to state that the Model 3, particularly the Model 3 Performance, is the most fun car in Tesla’s lineup. Its Track Mode feature proved that EVs can be driven hard around corners, and it could keep pace with the best ICE-powered track weapons out there. For now, all eyes are on Tesla to see if the company could release a worthy successor to the Model 3 Performance.  

An Everlasting Legacy

Tesla owes its current success to the Model 3. CEO Elon Musk himself admitted that during the Model 3’s infamous production hell, Tesla came close to dying. But the company didn’t fail. Instead, demand for the Model 3 remained healthy, and the all-electric sedan became so successful that Tesla was able to build a strong, profitable business on its back. 

The original Model 3 may be gone from Tesla’s production lines at the Fremont Factory and Gigafactory Shanghai. Despite this, the vehicle’s legacy shall live on. Its successor is promising, as the upgraded Model 3 has been critically acclaimed by owners and professional reviewers alike since it was initially revealed last year. 

Tesla watchers note that over the original Model 3’s 6.5-year run, the vehicle sold about 2.3 million units. That’s not bad at all for a car that Tesla critics assumed had serious demand problems from the get-go.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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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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Elon Musk

SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff

Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.

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Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.

The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.

Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.

Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry

None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.

The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.

Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.

Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.

The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”

Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”

Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”

Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.

Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.

The firm also upgraded shares to a Buy from Hold and set a $160 price target.

SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.

Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.

There are plenty of ways the company can do this:

Leasing excess compute capacity through contracts

SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.

SpaceX is charging Anthropic massive money for its compute

High utilization driven by industry-wide scarcity

The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.

Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.

Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.

High incremental margins on the rental business once capacity is online

GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.

Parallel monetization of its own AI software and applications

Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.

These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.

Efficient, large-scale deployment and vertical integration advantages

SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.

Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.

SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.

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