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NIO ET7 audio system reveals how important software will be in future vehicles [Editorial]
NIO went the extra mile—and then some—when it conceptualized the audio system for the ET7. The NIO ET7 has 23 speakers powered by Swedish digital audio pioneer Dirac’s Opteo Professional audio software and Dolby Atmos technology.
NIO and Dirac’s work on the ET7’s audio system reveals the changing design of the car’s cabin and the role software plays in its redesign.
The NIO ET7’s Sound
Every automaker has a specific sound they would like their passengers to enjoy in their vehicles. NIO also has a particular sound target, and for the ET7, the Chinese automaker wanted it to come through crystal clear.
NIO worked closely with Dirac to create its sound. The NIO ET7’s official online page states that the four-seater car has 23 speakers, four overhead speakers, and a subwoofer. It also has a 20-channel amplifier and comes standard with Dolby Atmos Technology.
NIO didn’t just add lots of speakers to the ET7, though. The China-based automaker together with Dirac were meticulous and intentional with the ET7’s audio system.
Redefining the Cabin
Audio experts must consider the environment the sound will be played in, making it challenging to work with vehicles. Lars Carlsson, the Head of Business Development Automotive Audio and Vice President at Dirac, told Teslarati that audio experts have to consider many things when creating the perfect sound inside a vehicle. They have to consider the number and position of the speakers and the number of seats in the vehicle. Audio experts must also consider how sound reflects on the cabin’s different surfaces and windows.
Each speaker output in the NIO ET7 was measured with 16 microphones, positioned in each seat for a total of 64 measurement positions in the cabin. The measured data gave Dirac a good overview of the acoustic performance of the car’s cabin and creates the base for Dirac’s patented algorithms to optimize the sound.
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“We base everything on measurements and data. Our process really saves audio engineers a lot of time. They can tune on their computer instead of spending weeks in the car,” Carlsson said.
After measuring the cabin, Dirac used algorithms to “derive the optimum solution” for its sound field control technology. With sound field control, Dirac created “super speakers” for the ET7. Typically, there are three speakers in a car door: low frequency, mid-range frequency, and a tweeter for the high frequency. Dirac uses sound field control to digitally align the speakers, making them collaborate to realize one full, quality sound.
“In addition our algorithm lets the speakers in the cabin and the subwoofer collaborate to create an even sound field in the car, which means we can actually create an equal audio experience in every seat. You get the voice right in front of you and a good imaging and a very even bass distribution and tight bass,” explained Carlsson.
Software’s Critical Role in Future Vehicles
Software is playing an increasingly important role in the auto industry as automotive OEMs and startups reconceptualize the idea of the vehicle. Now, automakers are reimagining the use of the car cabin as more vehicles integrate autonomous software.
Software lies at the center of redesigning the cabin space for passenger activities. Many automakers have started investing in software for their vehicles. For instance, Volkswagen invested €2 billion in a joint venture with China-based Horizon Robotics. And Stellantis launched a software development center in India recently.
Audio, in particular, is beginning to play a more significant role in the cabin as automakers introduce more types of media for passengers to enjoy while on the road. Electric cars coming out on the market have fun new features now, like karaoke, videos, games, and more which rely heavily on audio systems. However, it is autonomy that drives the cabin’s redesign.
“We have an enormous interest for our solutions because audio is getting more and more important in the car. This is true for electric cars because it’s a quieter environment but also when looking into autonomous cars, where maybe you’ll be working in your car, you’ll be listening to music, you’ll be watching videos, you’ll have maybe rotating seats,” said Carlsson.
“There’s a lot of challenges also coming ahead, but I would say that Dirac is very well equipped for future challenges because software for anything in the cars is key,” he added.
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The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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.
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.
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.
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.
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
