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Tesla Semi reservation holders are remaining unfazed amid skepticism, rising competition
While there remains a notable amount of skepticism from legacy trucking companies, the emergence of zero-emissions semi-trailers is looking more and more inevitable. Among these vehicles is the Tesla Semi, a battery-powered all-electric vehicle aimed at disrupting the lucrative trucking market.
Tesla pulled no punches with the Semi, with the Class 8 truck being capable of traveling up to 500 miles with one charge. In true Tesla tradition, the Tesla Semi is also very quick, thanks to its four Model 3-derived electric motors whose instant torque allows it to accelerate from 0-60 mph in 5 seconds flat without a trailer. That’s muscle car-level acceleration — from a large, fully capable electric long-hauler.
When Elon Musk announced the Semi last year, he noted that the vehicle is expected to start production sometime in 2019. Such a timeline is an aggressive goal for the company, considering that Tesla is yet to announce where the large electric truck would be built. Considering Elon Musk’s tendency to be overly optimistic about his targets, as well as Tesla head of investor relations Martin Viecha’s statement earlier this year when he noted that the company is “earnestly” planning on producing the Semi by 2020, skeptics of the company suggest that the all-electric truck would likely see notable manufacturing delays, just like the Model 3 and Model X.
Despite these reservations, Tesla Semi reservation holders appear to be fully confident in the company’s capability to deliver the vehicle. In a statement last month, NFI Industries vice president of fleet services James O’Leary, whose company ordered 10 Semis, stated that the electric car maker is actually staying relatively consistent with its self-imposed timeline.
“They are staying relatively consistent with their timeline, even though Elon doesn’t talk about it on their earnings call,” he said.
Albertsons Companies, one of the United States’ largest food and drug retailers, revealed its order of 10 Tesla Semis earlier this month. In a press release, the company noted that its adoption of the Semi is part of its efforts to decrease its overall carbon emissions and run a cleaner fleet. Tom Nartker, VP of Transportation, stated that Tesla Semi would play a part in advancing the company’s supply chain efficiency and sustainability as well.
“Advancing supply chain efficiency and sustainability is an important goal for our company. We’re excited to pilot this expansion of our transportation program with trucks that help us limit our overall carbon footprint,” Nartker said.
Much like the passenger car market, the emergence of electric-powered vehicles is starting to become notable in the trucking industry. Legacy automaker Daimler, for one, has released vehicles like an electrified Freightliner as an alternative to fossil fuel-powered trucks. Hydrogen-electric vehicles from startups like Nikola Motor are also expected to enter the market in the coming years. Amidst these competitors, the Tesla Semi could very well play a large part in the emerging zero-emissions trucking market, as it aims to prove that battery-powered long-haulers are fully-capable of performing tasks usually reserved for diesel trucks.
The market for the Tesla Semi is vast, and so far, reactions from the market have been encouraging. As of the company’s Q1 2018 earnings call, CEO Elon Musk and CTO JB Straubel noted that Tesla had around 2,000 reservations for the vehicle, from companies such as PepsiCo, FedEx, and UPS in the United States and Bee’ah from the United Arab Emirates, to name a few. Overall, Tesla appears to have targeted the perfect market that is ready to be disrupted with the Semi — and it is a market that is prepared to invest and wait for a vehicle that would satisfy its needs.
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
