Elon Musk’s cautionary statements about uncontrolled experimentation with artificial intelligence (AI) have caused some to ridicule him as a fear-monger, and have given many in the mainstream press the idea that he is opposed to using AI, which is very far from the truth. In fact, AI is a major component of Tesla’s Autopilot system, and the company applies it in several other areas as well.
It was only recently that Tesla publicly revealed that it is working on its own AI hardware. At the NIPS machine learning conference in December, Elon Musk announced that Tesla is “developing specialized AI hardware that we think will be the best in the world.” The company has offered few details, but it’s widely assumed that the main application will be processing the algorithms for Tesla’s Autopilot software.
As Bernard Marr reports in a recent article in Forbes, there’s little doubt that Tesla is way ahead of its potential rivals in the data-gathering department. Every Model S and X built with the Autopilot hardware suite, which was introduced in September 2014, has the potential to become self-driving, and all Tesla vehicles, Autopilot-enabled or not, continually gather data and send it to the cloud. The company has many more sensors on the roads than any of its Detroit or Silicon Valley rivals, and the number will mushroom when Model 3 production hits its stride.
Tesla is crowd-sourcing data not only from its vehicles, but could one day obtain data on its drivers through internal cameras that detect hand placement on instruments or a person’s state of alertness. The company uses the information not only to improve Autopilot by generating data-dense maps, but also to diagnose driving behavior. Many believe that this sort of data will prove to be a valuable commodity that could be sold to third parties (much as data on web-browsing habits is today). McKinsey and Company has estimated that the market for vehicle-gathered data could be worth $750 billion a year by 2030.
Forbes explains that the AI built into Tesla’s system operates at several levels. Machine learning in the cloud educates the entire fleet, while within each individual vehicle, “edge computing” can make decisions about actions a car needs to take immediately. There’s also a third level of decision-making, in which cars can form networks with other Tesla vehicles nearby in order to share local information. In the future, when there are lots of autonomous cars on the road, these networks could also interface with cars from other makers, and systems such as traffic cameras, road-based sensors, and mobile phones.
At this point, no one knows what new forms of AI technology the mad scientists in Palo Alto are cooking up, but Forbes found some clues on the Facebook page of Tesla’s hardware partner Nvidia: “In contrast to the usual approach to operating self-driving cars, we did not program any explicit object detection, mapping, path planning or control components into this car. Instead, the car learns on its own to create all necessary internal representations necessary to steer, simply by observing human drivers.”
This unsupervised learning model contrasts with the more familiar approach of supervised learning, in which algorithms are trained beforehand about right or wrong decisions. Each approach has its pros and cons, and it’s likely that Tesla’s strategy includes both.
Forbes reports that Tesla’s use of AI is not limited to Autopilot – the company employs machine learning in the design and manufacturing processes, to process customer data, and even to scan the text in online forums for insights into commonly-reported problems. It’s ironic that some in the press choose to portray Elon Musk as an AI Luddite, when in fact Tesla may be one of the most sophisticated users of the technology.
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Note: Article originally published on evannex.com, by Charles Morris
Source: Forbes
News
Tesla Model X shocks everyone by crushing every other used car in America
The Model X is one of Tesla’s flagship models, the other being the Model S. Earlier this year, Tesla confirmed it would discontinue production of both the Model S and Model X to make way for Optimus robot production at the Fremont Factory in Northern California.
The Tesla Model X was the fastest-selling used vehicle in the United States in the first quarter of the year, crushing every other used car in America.
iSeeCars data for the first quarter shows that the Model X was the fastest-selling used car, lasting just 25.6 days on the market on average, two days better than that of the second-place Lexus RX 350h. The Cybertruck, Model Y, and Model S, in seventh, ninth, and thirteenth place, respectively, also made the list.
The Model X is one of Tesla’s flagship models, the other being the Model S. Earlier this year, Tesla confirmed it would discontinue production of both the Model S and Model X to make way for Optimus robot production at the Fremont Factory in Northern California.
Tesla brings closure to flagship ‘sentimental’ models, Musk confirms
Bringing closure to these two vehicles signaled the end of the road for the cars that have effectively built Tesla’s reputation for luxury and high-end passenger vehicles.
Relying on the sales of its mass market Model Y and Model 3, as well as leaning on the success of future products like the Cybercab, is the angle Tesla has chosen to take.
Teslas are also performing extremely well as a whole on the resale market. iSeeCars data shows that, “while the average price of a 1- to 5-year-old non-Tesla EV fell 10.3% in Q1 2026 year-over-year, the average price of a used Tesla was essentially flat at 0.1% lower across the same period. Traditional gas car prices dropped 2.8% during this same period.”
Additionally, market share for gas cars has dropped nearly 3 percent since the same quarter last year. Tesla has remained level, while the non-Tesla EV market share has increased 30 percent, mostly due to more models available.
Nevertheless, those non-Tesla EVs have seen their value drop by over 10 percent, while Tesla’s values have remained level.
Executive Analyst Karl Brauer said:
“Used electric vehicles without a Tesla badge have lost more than 10% of their value in the past year. This compares to stable values for Teslas and hybrids, and a modest 2.8% drop for traditional gasoline vehicles.”
Teslas, as well as non-luxury hybrids, are displaying the strongest resistance in the face of faltering demand, the publication says. But the more impressive performance is that of the Model X alone.
Tesla’s decision to stop production of the Model X may have played some part in the vehicle’s pristine performance in Q1. With the car already placed at a premium price point, used models are already more appealing to consumers. Perhaps second-hand versions were more than enough for those who wanted a Model X, and only a Model X.
Cybertruck
Tesla Cybertruck’s head-scratching trim sold terribly, recall documents reveal
The head-scratching offering was only available for a few months, and evidently, it did not sell very well, which we all suspected. New recall documents on the vehicle from the National Highway Traffic Safety Administration (NHTSA) now reveal just how poorly it sold.
After Tesla decided to build a Rear-Wheel-Drive Cybertruck trim back in 2025, which was void of many features and only featured a small discount.
The head-scratching offering was only available for a few months, and evidently, it did not sell very well, which we all suspected. New recall documents on the vehicle from the National Highway Traffic Safety Administration (NHTSA) now reveal just how poorly it sold.
The recall deals with a potentially separating wheel stud and potentially impacts 173 Cybertruck units with the 18-inch steel wheels. The Cybertruck RWD was the only trim level to feature these, and the 173 potentially impacted units represent a portion of the population of pickups. Therefore, it’s not the entire number of RWD Cybertruck sold, but it could show how little interest it gathered.
The NHTSA document states:
“On affected vehicles, higher severity road perturbations and cornering may strain the stud hole in the wheel rotor, causing cracks to form. If cracking propagates with continued use and strain, the wheel stud could eventually separate from the wheel hub.”
Only 5 percent are expected to be impacted, meaning less than 10 units will have the issue if the NHTSA and Tesla estimates are correct. Nevertheless, the true story here is how terribly the RWD Cybertruck sold.
Tesla ended production and stopped offering the RWD Cybertruck to customers last September. For just $10,000 less than the All-Wheel-Drive trim, Tesla offered the RWD Cybertruck with just one motor, textile seats instead of leather, only 7 speakers instead of 15, no Rear Touchscreen, no Powered Tonneau Cover for the truck bed, and no 120v/240v outlets.
For just $10,000 more, at $79,990, owners could have received all of those premium features, as well as a more capable All-Wheel-Drive powertrain that featured Adaptive Air Suspension. The discount simply was not worth the sacrifices.
Orders were few and far between, and sources told us that when it was offered, sales were extremely tempered because customers could not see the value in this trim level.
Even Tesla’s most loyal supporters thought the offering was kind of a joke, and the $10,000 extra was simply worth it.
News
Tesla Semi sends clear message to Diesel rivals with latest move
The truck is being built at a dedicated facility in Sparks, Nevada, just next to its Gigafactory Nevada facility.
Tesla has officially launched Semi production at what will be a mind-boggling rate of approximately 50,000 units per year.
The truck is being built at a dedicated facility in Sparks, Nevada, just next to its Gigafactory Nevada facility.
The company finally announced on April 29 that the first Tesla Semi truck has rolled off its new high-volume production line at the factory. This marks the transition from limited pilot builds to scaled manufacturing for the Class 8 all-electric heavy-duty truck, nearly nine years after its dramatic 2017 unveiling.
🚨 Tesla Semi mass production is underway in Nevada!
HUGE! https://t.co/ohgQIiI2bK pic.twitter.com/23GvWr8D27
— TESLARATI (@Teslarati) April 29, 2026
Tesla initially promised high-volume deliveries by 2019–2020, but battery supply constraints and prioritization for passenger vehicles delayed progress. The new 1.7-million-square-foot factory, purpose-built next to Gigafactory Nevada’s 4680 cell production lines, resolves those bottlenecks through deep vertical integration.
The Semi uses Tesla’s structural battery packs with cylindrical 4680 cells manufactured on-site. This integration enables efficient supply, reduced logistics costs, and the potential for high output. The factory is designed for an eventual annual capacity of approximately 50,000 trucks, positioning Tesla to address growing demand in long-haul freight electrification.
Tesla is using a redesigned Cybertruck battery cell to mitigate Semi challenges
Operating economics favor the Semi through dramatically lower fuel and maintenance costs compared to traditional diesel rigs, and companies involved in a pilot program for the Semi with Tesla have shown that.
Electricity is far cheaper than diesel on a per-mile basis, while the electric powertrain features fewer moving parts, reducing service intervals and lifetime expenses. Early deployments with customers like PepsiCo and others have validated these advantages in real-world service.
The Nevada factory’s ramp-up is targeted for full volume output before the end of June 2026, aligning with broader Tesla production goals for 2026. This includes parallel efforts on other new vehicles while expanding the Megacharger infrastructure to support widespread adoption.
By localizing battery and truck production, Tesla gains advantages in cost, quality control, and scalability that many competitors sourcing cells externally lack. The start of high-volume Semi production represents a pivotal step in Tesla’s strategy to electrify heavy transportation, potentially accelerating the shift toward zero-emission freight across North America and beyond.
As output increases, the Semi could reshape long-haul logistics with its combination of performance, efficiency, and sustainability.
