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Tesla updates Supercharger pricing structure, rolls out in-car payment feature
Tesla has updated the pricing structure for its Supercharger network, including terms for its existing idle fee policy. The idle fee update will impact all Model S, Model X, and Model 3 drivers that utilize the company’s high-powered, global charging network, regardless of whether they are enrolled in free unlimited Supercharging or not.
Supercharger idle fees, first introduced in late 2016 as a means to deter vehicle owners from occupying a charging stall when the vehicle has already met its intended state of charge, have been updated to further encourage owners to move their vehicles from stalls and improve the Supercharging experience for all drivers. Tesla has updated the flat idle fee of $0.40/minute to take into account station occupancy, as follows:
Supercharger Idle Fee
(updated September 19, 2018)
- Supercharger 50% occupied: $0.50/minute idle fee
- Supercharger 100% occupied: $1.00/minute idle fee
Tesla notes in its Supercharger FAQ that drivers will be granted a 5-minute grace period during which time a fee will not be incurred. Once this grace period passes, the driver will be charged for the 5-minutes and each additional minute after that. Vehicle owners will continue to receive reminders through Tesla’s app when the vehicle is nearing its intended state of charge.
In-car Payment
Additionally, Tesla has begun to roll out an over-the-air software update (not Version 9) that will include a new in-car payment feature. The new functionality will provide Model S, Model X, and Model 3 owners who leverage pay-per-use Supercharging with the ability to pay from within their vehicle, by inputting credit card information directly into the center touchscreen. The feature will also enable drivers to pay for any incurred idle fees.
The in-car payment functionality is an extension of the credit card section within an owner’s Tesla Account page, or previously known as the MyTesla page. Credit card information entered through the in-car payment feature will automatically be registered to the vehicle owner’s Tesla account and also serve as payment for any incurred idle fees or Supercharger use fees.
Also introduced in today’s Supercharger pricing structure update is a $50.00 cap wherein Supercharger access will automatically be disabled if there’s an outstanding balance due for Supercharger fees, either incurred through idle fees or Pay Per Use, and when a credit card is not on file. Supercharger access will instantly re-enable once the balance is paid. Tesla will also have the ability to grant Supercharger access to a vehicle, remotely, in the event of an emergency.
The pricing update and software release are being implemented in North America first, followed by a global rollout.
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It’s About the Greater Good
Although the latest Supercharger update may be unwelcomed by some Tesla owners that have previously benefitted from the company’s good faith gesture to extend its charging network, largely unenforced, to its drivers, the change is an improvement to its policy that has a significant benefit to the overall community.
When the Silicon Valley-based electric carmaker first created its Supercharger network, the intention was to make long-distance travel an enjoyable and seamless experience for all drivers. But as Supercharger abuse became more rampant, combined with a massive increase in the number of Model S, Model X and Model 3 on the roads, being able to institute some sort of Supercharger fair-use enforcement policy became desperately needed. This is in spite of Tesla’s continued global scale out of its Supercharger and Destination charging network.
A Model X spotted occupying three Supercharger stalls at the Newark, DE Supercharger station went viral in 2016 after sparking outrage across the Tesla community.
Related: Calling all Tesla Supercharger abusers: Don’t ruin it for the rest of us
Today’s update to Tesla’s Supercharger policy will undoubtedly be one of many in the years to come, as the company continues to adjust and iterate toward a customer experience-focused model that’s also financially feasible.
A Tesla spokesperson tells Teslarati, “Based on feedback from the Tesla owner community, we are adjusting the idle fees associated with our Supercharging program to continue providing the best Supercharging experience as the size of our fleet grows. As has always been the case, our Supercharging and associated fees charged on the network are not meant to be a profit center for Tesla, and we hope to never need to bill for idle fees.”
More information can be found on Tesla’s Supercharger page.
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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
