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Porsche Taycan isn’t supposed to be a Tesla. Stop it.
Our tryst was short but, truth be told, I, a very happy Tesla owner, haven’t stopped thinking about the Porsche Taycan ever since the day we shared something special together.
It was a day of passion, driven by irrational thinking. Under the guise of a regular four-door sedan whose interior was garbed in strategically placed dark strips of cloth – clearly aimed at hiding the wolf within – it was soon obvious that I was no match for this beast.
“Do you want another go?”
It was an emphatic “no” from me to Porsche’s Platform Director for the Taycan, Bernd Propfe, as I climbed out of a production-ready Turbo S mule, and made every attempt to fight back obvious signs of nausea mixed with an overdose of adrenaline-induced shakes. Having just experienced a series of 720-degree donuts, high-speed drifts, 0-60 mph blasts in 2.6 seconds, followed by what can only be described as multiple time attack sessions on Porsche’s 1.6-mile circuit in Atlanta, the last thing I needed was to hear anyone belabor the point of repeatable performance. I get it. My stomach gets it.
It’s now two weeks later, and the taste of my Salisbury steak that I forcibly held in from lunch that day is as familiar as Taycan’s curvy, sleek and slightly bulbous contours that Porsche birthed to the world.
The Porsche Taycan. (Photo: Sean Mitchell/Teslarati)
The Taycan checks all of the boxes for what an all-electric, high-performance sedan is expected to be. Acceleration on par with Tesla? Check. Over-the-air software updates (like Tesla)? Check. Brand prestige (like Tesla)? Check. And anything not like Tesla, we know solicits ten pages of dialogue from the online vigilante.
And that’s where the line should be drawn.
First, let’s clear the air by saying that I love everything Tesla has done for the automotive industry and beyond. As a three-time Tesla owner with Ludicrous as my daily driving mode, a Tesla solar customer, and the guy greasing the wheels here at Teslarati, I’d say I can be as much of a supporter of Elon Musk and Tesla as the most vocal fanboi. But let’s also take the blinders off, boys and girls, and take a look at the bigger picture.
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Porsche Taycan unveiling in North America on September 4, 2019. (Photo: Sean Mitchell/Teslarati)
Porsche has just released arguably the most important car in its history. A legacy automaker, whose iconic 911 has seen over 50 years in production and over 1 million units produced. An automaker that’s willing to go out on a limb and invest billions into the development of its first all-electric high-performance sedan to compete in a market that Tesla unequivocably dominates in. Unwavering to shareholder pressures to minimize disruption to the company’s biggest conventionally powered moneymakers, Porsche has remained focus on building products to support an electric future – a risk that many other automakers aren’t willing to take yet.
This should be celebrated. Porsche Taycan should be celebrated. The extension of Tesla’s electric roadway by another automaker should be celebrated.
After all, isn’t Tesla’s mission to accelerate the world’s transition to sustainable energy? I bet Tesla CEO Elon Musk himself would much rather see the Taycan in the market than not. It was he who once noted, “It’s a good thing,” referring to BMW’s entry into the market with the i3, “They need to bring it to market and keep iterating and improving and make better and better electric cars, and that’s what’s going to result in humanity achieving a sustainable transport future. I wish it was growing faster than it is.”
My early days with the BMW i3 and Tesla Model S (Photo cred: Gene/Teslarati)
Still, the community is quick to point out the Taycan’s slower 0-60 mph time of 2.6 seconds versus Tesla Model S Performance’s 2.4 second time. Combined with the Taycan’s much higher price point that rivals that of some home mortgages, its lesser 280-mile WLTP-rated range versus Tesla’s 345-mile EPA-rated range, and it becomes instant social media fodder for a highlight-reel knockout that derails the entire mission.
But here’s the thing, Porsche never set out to build an affordable EV, as fellow Tesla owner and long-time EVangelist Dennis Pascual reminds us. That’s not their audience. And their audience may not realize the immense value of having up to 370-miles of range like the Model S and access to a vast Supercharger network. For many, it will be their second or third Porsche but first foray into the world of EVs. Having a familiar gauge cluster, albeit in digital form, and driving experience that they’ve been accustomed to is where these owners will find solace with the Taycan.
Porsche’s target buyer also isn’t one that balks at the idea of engaging regenerative braking through a traditional two-pedal driving style. In fact, it’s embraced. With massive 10-piston calipers up front and track-ready ceramic brakes ready to bite, there’s no mistaking the Taycan to be anything less than a driver’s car with Nürburgring roots.
Porsche Taycan Car Configurator Options. (Credit: Porsche)
Configuring a Taycan online, as I found out, was a strength-training exercise for decision paralysis. Everything can be customized.
Must have personalized door sill guards? Porsche has that for you. What material? Black or aluminum? Great. Now, would you like that illuminated? No problem! By the way, did you mean standard aluminum or brushed aluminum?
Tesla’s configuration philosophy: do you want Black interior or Black and White interior? Done.
Porsche’s seemingly endless assortment of options is every bit appreciated and expected by luxury car buyers, as it is daunting for the average Tesla consumer who’s accustomed to simplicity.
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My particular Taycan Turbo S build started from a base $180k and quickly skyrocketed to over $240k after tacking on $60k in options. At nearly a quarter-million dollars, we’re in exotic car territory.
Porsche isn’t appealing to the same audience as Tesla. Different strokes for different folks.
The bottom line? The Porsche Taycan isn’t supposed to be a Tesla. And that’s a great thing.
If someone wants to spend their money on this #EV instead of an ICE… I'm cool with it… Still supports the mission of Tesla and of all #rEVolutionaries to get folks into an #EV let's not get into a circular firing squad against EVs, not everyone wants a Tesla
— Dennis Pascual (@dennis_p) September 5, 2019
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.
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.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
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
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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.
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.”
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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.
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.
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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.
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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.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
