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Tesla and Rivian are poised to battle Ford and GM for the US’ electric truck market
The US pickup truck market is a hefty prize for any automaker. In the second quarter alone, pickup trucks accounted for 33% of sales from Ford, GM, and Fiat Chrysler, up from 30% the previous year. Full-size trucks, such as the F-150, Silverado and RAM, continue to see growth as well, with the average price of such vehicles hitting $47,255 per unit.
Tyson Jominy, an analyst at research firm J.D. Power, explained in a statement to The Wall Street Journal that the US car industry’s interest in pickup trucks continues to be strong. “Trucks are the one sure bet for all three. They’re trying to take every cent off the table and use it to fund their research and development,” he said.
Yet, just like the passenger car sector, the pickup truck segment is about to feel the disruption from dedicated all-electric vehicles. Elon Musk has announced that Tesla will be releasing its own pickup truck later this year, and that it would be a vehicle so loaded with tech that it would not look out of place in the Blade Runner franchise. Rivian, itself a Detroit-based company, is poised to start producing its R1T pickup truck soon. The R1T is critically acclaimed, being a true off-roader that exudes luxury.
Both Tesla’s pickup truck and Rivian’s R1T will likely enter the market as quickly as their respective automakers are able. The pickup market is ripe for disruption after all, and any company that breaches the segment first with a truck that is both capable and reasonable in price would likely enjoy momentum for years to come. Quite surprisingly, neither Ford nor GM seem to be in any hurry to launch their own pickup trucks to the market.
This is quite surprising considering that both companies have immense experience in truck building. Each company has also stated that it will be releasing its own electric truck. Ford provided a teaser of its F-150 EV last June, which involved an impressive demonstration featuring the truck pulling over a million pounds of cargo. Back in April, GM CEO Mary Barra stated that General Motors will be releasing a “complete range of EVs, including full-size pickups.”
Ford, for its part, stated after its impressive F-150 EV demonstration that the vehicle is not slated for production anytime soon. Ford Chief Product Development Officer Hau Thai-Tang explained in an interview with Yahoo Finance that while a hybrid F-150 will be introduced next year, a battery-electric variant similar to the unit used in the 1-million-pound demonstration is still “a couple years out.” GM is equally vague, if not more. FCA is even less committal, not even confirming its plans for an electric pickup truck.
Considering the coming competition from younger companies such as Tesla and Rivian, both of whom are still hungry and aggressive, Ford, and GM’s decision to adopt a deliberate pace in their EV truck initiatives might prove to be a miscalculation. Such wait-and-see strategies, after all, could easily be remembered in the future as the stuff of hubris, if they are not careful.
This is especially true if one were to look at what the Tesla Truck and the Rivian R1T are both set to offer. Elon Musk has spoken a lot about Tesla’s pickup truck, from its “cyberpunk” appearance, Porsche 911-esque performace, and its $49,000 starting price. Rivian’s R1T, on the other hand, is so steeped in luxury amenities and nifty features that it almost seems like a full suite of Patagonia outdoor gear with wheels.
Granted, both Tesla and Rivian lack the experience in truck-building enjoyed by Ford and GM. That being said, Tesla has extensive experience in developing electric vehicles, and its battery tech is second to none. Rivian, on the other hand, is backed by what could very well be the deepest pocket in the tech industry today: Amazon. With this in mind, veteran automakers might be well advised to expedite the release of their own electric pickups, or risk being outperformed and outmaneuvered by upstart electric vehicle makers that are a fraction of their age.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
