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Tesla Semi rival Nikola Motors aims to be US’ ‘largest energy consumer’ by 2028
Tesla Semi rival Nikola Motors recently revealed a rather ambitious goal for the future energy consumption of its hydrogen-electric trucks. In a post on its official Twitter page, Nikola announced that in ten years, the company would become the United States’ largest energy consumer.
Nikola pointed out that by 2028, its fleet of hydrogen-electric trucks will be supported by an estimated 820 refilling stations operating across the country. Considering the expected consumption of its long-haulers and estimates that each station will fill 160 trucks daily, each H2 station will likely consume 422 MWh of energy every day. At ~820 refilling stations, Nikola expects its fleet of hydrogen-electric trucks to consume a total of 349 GWh of energy per day.
Within 10 years,@nikolamotor will become the largest energy consumer in America. Estimated 820 stations going online by 2028. Each station fills 160 trucks daily- will consume 422 MWh of renewables (422 MWh X 828 stations = 349 GWh per day) pic.twitter.com/B8Ylovw46H
— Nikola Corporation (@nikolamotor) October 1, 2018
The hydrogen-electric truck startup did clarify that it intends to exclusively utilize renewables for its fleet’s energy consumption. In a follow-up to its initial announcement, the company even noted that it primarily uses solar with wind and hydropower as backups for its operations. Nikola further noted that its energy sources are all renewable, with on-site generation and zero-emissions “from production to consumption.”
Ultimately, Nikola Motors’ recent Twitter announcement gives the company an ambitious target. That said, if the company ramps the construction of its network of H2 refilling stations, its 10-year timeline could prove to be more than enough.
Nikola Motors’ recent announcement about its energy consumption estimates stands as the latest bold declaration from the startup truckmaker. Earlier this year, Nikola issued another bold announcement, seemingly throwing shade at Tesla by stating that all reservations placed for the Nikola One and Nikola Two will be refunded. As an aside, the company further noted in its post that it doesn’t “use (customers’) money to operate (its) business.” Nikola also announced that companies who wish to reserve its future vehicles could do so for free. On May, the company did get a large order for its electric trucks from brewery giant Anheuser-Busch, which ordered 800 units of the hydrogen-electric trucks.
Nikola has since adopted a more unfriendly stance against Tesla. The company has filed a $2 billion lawsuit against the electric car maker alleging that the Tesla Semi violated its design patents for the Nikola One. The hydrogen-electric truck maker lists several aspects of the Tesla Semi that were allegedly copied from the One, including its wraparound windshield, mid-entry door, front fenders, and the electric truck’s aerodynamic body. Nikola further alleged that due to the similarity of the One and the Semi, its brand is at risk due to Tesla’s reputation.
“Tesla’s design has caused confusion among customers. The confusion has diverted sales from Nikola to Tesla. Further, any problems with the Tesla Semi will be attributed to the Nikola One, causing harm to the Nikola brand. For example, Tesla has had problems with its batteries starting fires and its autonomous features causing fatal accidents. Should these problems arise with the Tesla Semi, the market will attribute these problems to Nikola because of the similarities between the two vehicles.”
The US Patent Office granted Tesla its own design patents for the Semi back in August, though, despite the examiner from the agency using the Nikola One as one of the comparison points for the all-electric truck. If Nikola opts to pursue its case against Tesla, it would have to prove that the US Patent Examiner made a mistake — a feat that would be very challenging to accomplish.
Nikola is currently preparing for a three-day event in April 2019, which would involve the unveiling of the pre-production models of its hydrogen-electric trucks, as well as a 2.3-megawatt hydrogen fueling station that would serve as a model for the company’s upcoming network of refilling stations.
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.