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Lucid unveils Air’s Dual-Motor, 1,080 HP powertrain and 9.9-second quarter mile
Lucid Motors has released details on the powertrain it will use for its first electric vehicle, the Air. Lucid will equip the vehicle’s top configuration with a Dual-Motor, All-Wheel-Drive powertrain that is capable of 1,080 horsepower. Additionally, the Air was able to complete consecutive quarter-mile runs at under 10 seconds.
Lucid has developed the Air since 2016, and it has been fine-tuning the vehicle’s powertrain and all-electric, 113 kWh battery pack in preparation for entry into an increasingly competitive market. Over the past few weeks, the automaker has slowly released numerous details about the Air and its capabilities, starting with its 517-mile range and interior features. Now, Lucid is getting to the good stuff and is detailing its all-electric powertrain, which is the fastest to ever complete a quarter-mile.
The quarter-mile record was set by the Air’s Dream Edition variant at Sonoma Raceway in Northern California. Not only did the Air manage to set the record for the fastest quarter-mile time for an EV, but it beat the Tesla Model S and Porsche Taycan in the process.
Peter Rawlinson, CEO and CTO at Lucid, said that the company’s watchword has been “focus” since day one. But the focus goes much further than creating a fast performance vehicle.
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- Credit: Lucid Motors
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- Credit: Lucid Motors
“Our watchword has been ‘focus’ since day one at Lucid – a focus on sound engineering principles, a focus on creating efficiencies, and a focus on maximizing power to create a world-class EV,” Rawlinson said.
Lucid’s focus has been to create a vehicle that highlights the optimization that the company’s engineering teams have worked on for the last three-and-a-half years. At the heart of the Air, a 900V+ electric drive unit that is small enough to fit in a regular suitcase packs over 650 horsepower. It is 45% lighter and 59% lighter than the closest competitor, the company said. At speeds capable of up to 20,000 RPM, the Lucid powertrain holds significant advantages over any car in the electric vehicle market.
“When the Lucid Air comes to market next spring, the world will see that we have developed the best electric vehicle technology possible by a wide margin and effectively created a new benchmark for EVs. The result is nothing short of a technological tour de force in every facet upon which a luxury performance car is measured,” Rawlinson said.
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- Credit: Lucid Motors
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- Credit: Lucid Motors
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- Credit: Lucid Motors
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- Credit: Lucid Motors
Creating efficiency with every part of an electric vehicle was crucial to Lucid’s mission to develop a world-class powertrain. The Air’s internal parts can achieve high-performance through a series of new inventions that are part of lucid’s intellectual property.
“Most notably, an elegant and revolutionary new motor winding technology has been introduced to maximize power output and reduce electrical losses. The motor also features an innovative cooling system that more effectively removes heat from
the stator winding, minimizing losses and boosting efficiency,” the company said in a release.
The compact design, which Teslarati detailed in late-August, paves the way for the electric drive unit to take up as little room as possible while powering the Air to new heights.
“This is achieved in part by the transmission and differential, which have been fully integrated for the first time in an electric motor – together, they comprise a single rotational system that is both lightweight and extremely efficient. Meanwhile, Lucid
leverages a high voltage, silicon-carbide MOSFET system in its inverters to maximize efficiency, especially in real-world driving conditions,” Lucid said.
Lucid will debut the Air during an online reveal event on September 9, 2020. In addition to the Air’s finalized interior and exterior designs, Lucid will also release new details about pricing, production specifications, and available configurations during the event.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
