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The Lucid Air Dream Edition R’s first in-depth review reveals the car is a stunner
Lucid frontman Peter Rawlinson has spent plenty of years in the electric vehicle realm, so he definitely has an idea of what goes into creating a fast, luxurious, and effective electric car. Prior to his time at Lucid, Rawlinson was one of the key members of Tesla’s Model S development team back in the early 2010s, before leaving the company to pursue his own interests, eventually landing at Lucid Motors. As the electric vehicle sector continues to develop quite nicely in the grand scheme of things, with both exclusively electric companies and legacy automakers all contributing to the sustainable energy transition, Lucid is set to deliver its first vehicle, the Air Dream Edition sedan, later this year, and Motortrend got an in-depth and exclusive look at the car that could quite possibly be the king of the hill when it enters the market.
Design
One of the sharpest vehicles in the automotive sector, the Air Dream Edition was outfitted in Eureka Gold for this breakdown by Motortrend. Reminiscent of the Citroën DS redesigned for Blade Runner, the car is simple yet futuristic in its design. It’s a long sedan, and in photographs almost reminds me of an older Ford Taurus in its “boaty” nature. However, it is much more pleasing to the eye, in my opinion. (The Ford Taurus was my second car. I drove it to class in college, and Lord, I hated that thing.)
Credit: MotorTrend
Sleek and luxurious, the reviewers were more particular to this interior than that of the Tesla Model S, stating that “every Tesla since day one has seemingly shipped without a finished interior, Lucid not only crafted a perfectly wonderful luxury-car cabin, but it also smartly avoided the screens über alles aesthetic that plagues cars like the Mercedes EQS.” Truth is, the Air interior is still relatively simplistic, and while it does have a few more bells and whistles than the Tesla Model S, it is not all that different other than an extended instrument cluster, a repositioned center screen, and more material options.
Credit: MotorTrend
Performance
The Air Dream does not drive like a Lotus, which Rawlinson wanted when he designed the car: the look of a Mercedes with the ride of a Lotus. In fact, Jonny Lieberman, who wrote MotorTrend’s review, said it’s more like a Nissan GT-R. It has great handling, and with 933 horsepower, it’s extremely quick. Couple these performance tidbits based on Lieberman’s experience with the already stunning design and comfortable interior, and you have a car that is sure to appeal to many.
Carving turns in the Air was one of the highlights of the test drive. “I assumed the Air Dream Edition R would be decent enough to drive around big sweepers, but about 10 miles into our run up Angeles Crest Highway, I discovered the car enjoyed being manhandled through tight corners,” Lieberman wrote. The harder he drove the car, the better it performed, making it an ideal choice for a scenic joyride through winding and curvy rods, especially with the all-wheel-drive system to help navigate through those corners.
Not only is the car fun to drive, but it’s fast too, even if it’s over 5,000 pounds. Impressive with this pre-production Air model that was available for the test drive, the car will only improve as Lucid begins cranking out production models of the vehicle soon. This is where Lieberman expects Lucid to improve on an already great car. The front end seemed to be a little too free for his liking, while the back tires provided sufficient grip and maneuverability through tight corners. According to Lucid’s Director of Chassis and Vehicle Dynamics David Lickfold, the front spring rate will be reduced by 10% before production begins. The anti-roll bar will be stiffened for more support and stability, and active dampers will get an adjustment, too, providing an even smoother ride than already given.
Credit: Motortrend
Three Drive Modes
The Air will come with three available drive modes, as Lickfold was curious about the condition of the roads that the Air was being tested on by MotorTrend. He suggested Lieberman leave it in Swift Mode, the second option, between Smooth and Sprint.
- Smooth Mode: Motors limited to 670 horsepower, softens dampers and brake pedal feel, the steering wheel is “free” feeling
- Swift Mode: Motors limited to 670 horsepower, much firmer feel than smooth mode, suitable for quicker driving on winding roads, but still holding back some performance
- Sprint Mode: Motors can reach full 933 horsepower potential, dampers are very hard, extremely sporty driving feel with “Tesla Plaid-like battery conditioning” for battery performance
Swift Mode brings out about 75% of the total power output, according to Emad Dlala, Lucid’s Senior Director of Efficiency and Energy Technology.
Credit: MotorTrend
Efficiency, Range, Battery Pack
The Air Dream Edition R is supposed to have 500 miles of range at a minimum, and the EPA will either confirm or deny this when it certifies the car in the coming months. MotorTrend decided to test the range on its own terms with a drive from Los Angeles to San Francisco, close to 350 miles. Not only did this drive provide some insight on how the range of the vehicle would be, but it would also give the reviewers an opportunity to get a look at what the vehicle would be like in its most frequent way of travel: abiding by speed limits and traffic rules during highways, while having to navigate through traffic and provide the driver and passengers with safety, but also entertainment and comfortability through the lengthy quest up the California coast.
It’s a smooth ride, there was wind noise, a common complaint among EVs due to their lack of an engine to drown out road sounds, but tire noise was minimal, Lieberman said. The car sat on Pirelli P Zeros, specifically designed for Lucid. After 205 miles of driving, the range of the vehicle had gone from 503 miles to 286, so there was slightly more energy usage through the 205 miles of driving as 217 miles had been subtracted from the range since the start of the trip. The additional range usage was due to air conditioning, so Lieberman adjusted the temperature from 69 to 71 to see if there was any impact.
The team arrived in San Francisco with 69 miles of range remaining, not needing to charge up at any point during the drive.
Credit: Motortrend
While Lucid still remains very vague in terms of when the Air Dream Edition will begin deliveries, the company still expects them to occur this year. With its unique design, different drive modes, impressive range, fast performance, and sporty but luxury interior, the car is certainly one of the most-anticipated EVs in the last several years. The car, along with Tesla’s vehicles, continues to chip away at the idea that range anxiety is an issue and EVs are not fast and fun. The Air is its own vehicle, and it’s important to not count it out before it hits the road, especially as Lieberman, who has reviewed hundreds of vehicles, was quite impressed by the Air Dream Edition.
Don’t hesitate to contact us with tips! Email us at tips@teslarati.com, or you can email me directly at joey@teslarati.com.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
