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Porsche teases Taycan trim levels, over $130,000 price for “Turbo” variant
Porsche is expected to start the production of the Taycan, its first all-electric car, sometime in 2019. As the carmaker prepares to dip its feet into the premium EV market, some details about the upcoming vehicle are now starting to emerge. Take, for one, the names of the Taycan’s trim levels, as well as their corresponding price range.
Auto journalist Alex Roy recently shared a message he received from a Porsche Global Brand Ambassador as a response to an inquiry about the Taycan. As noted by the journalist, Porsche appears to be adopting a rather unique naming scheme for its Tesla Model S rival, particularly for the vehicle’s top trim.
Following is an excerpt from Porsche’s message to the journalist.
“I am following up on your inquiry on the upcoming Porsche Taycan. We are expecting to see the new model in about one year from now. Porsche is going to build three models — the Taycan, the Taycan 4S, and (the) Taycan Turbo. Pricing will start in the low $90,000 for the Taycan, high $90,000 for the 4S, and over $130,000 for the Turbo before options.”
Immediately noticeable is Porsche’s use of the word “Turbo” to denote the high-performance version of the Taycan. Such a naming scheme is a bit unusual for an electric car, considering that the vehicle would not have a turbo per se. That said, Roy noted in an article on The Drive that Porsche does tend to use the “Turbo” brand as a means to distinguish a halo vehicle from other cars in its lineup.
Thus, as unusual as it might be, calling the top-tier electric car the Taycan Turbo might actually be a very strategic move for the German legacy carmaker. After all, using familiar terminology on the electric car could help the company’s dedicated fanbase be more open to Porsche’s transition towards electrified mobility. Apart from this, using the “Turbo” designation for the Taycan’s top trim also gives the impression that the vehicle is a flagship car — one that the company intends to support for years to come.
Pricing-wise, the Taycan appears to be starting at a price above the entry-level Tesla Model S 75D. If the information provided by the Porsche Global Brand Ambassador proves accurate, the entry-level Taycan will start roughly $12,000 more than the entry-level Model S, which starts at $78,000. The midrange Taycan 4S, though, appears to be directly aimed at the Model S 100D, which starts at $96,000 before incentives.
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Quite interestingly, the Taycan Turbo’s $130,000 starting price actually undercuts the Model S P100D’s current $135,000 starting price. That said, if the specs that Porsche announced for the vehicle — such as a 0-60 mph time of 3.5 seconds, a top speed of 155 mph, and a range of 310 miles per charge — are true for the Taycan Turbo, the vehicle would be slower off the line and have a slightly shorter range than Tesla’s flagship performance sedan. This would make the Taycan Turbo’s specs, down to its proficiency on the track, more comparable to the Model 3 Performance, which starts at a far more affordable price of $64,000.
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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
