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Tesla and other EVs will be overtaken by hydrogen cars by 2030, predicts auto expert
An automotive industry expert in Germany recently issued a bold dismissal of electric vehicles, declaring that EVs will be overtaken by hydrogen-powered cars. Before an audience, Dr. Felix Gress, head of Continental’s corporate communications and public affairs, argued that battery-electric vehicles represent poor value for money compared to diesel and petrol alternatives.
While Gress admitted that electric cars today are grabbing headlines and the attention of the automotive industry, the Continental executive predicted that the market would see shift to hydrogen in the next decade or so. “The fuel cell is not ready to kick in yet. By 2030, we’ll see that coming, especially in passenger cars that run long distances, or trucks… Fuel cell is not out of reach, I would say. The question is when it would kick in. We are working on that area, too,” the executive argued.
Gress added that electric cars will have difficulties finding acceptance among car buyers. “For the customers, it will be difficult to accept such a car in the market – you pay a higher price, you get less of a car, so it will be a tough sell,” he said, stating that based on Continental’s estimates, battery technology, and in extension, EVs in general, have their limits. “The battery technology, according to our estimations, has its limits. It doesn’t generate enough range for some people’s needs,” he added.
The Continental executive’s dismissive stance on electric cars run parallel to that of BMW’s director of development, Klaus Frölich, who recently stated that electric vehicles have no demand. During a recent round table interview in Munich, Frölich noted that “there is no customer requests for BEVs.” Responding to Europe’s Transport and Environment lobby group, which is pushing for the adoption of more electric cars, the executive fired back, arguing that BMW could easily flood the market with EVs, but no one will buy them.
“If we have a big offer, a big incentive, we could flood Europe and sell a million cars, but Europeans won’t buy these things. Customers in Europe do not buy EVs. We pressed these cars into the market, and they’re not wanted. We can deliver an electrified vehicle to each person, but they will not buy them,” the executive said.
Unlike Gress from Continental, Frölich instead argued for plug-in hybrids, which use both an internal combustion engine and an electric motor. He did note that BMW will still make pure electric cars for the US and China, but the company will concentrate its efforts to bring plug-in hybrids with 80 km (49 miles) of pure electric range. “PHEV gives them full freedom and 80 km of EV range,” he said.
It is quite surprising to see an executive from Continental, the same company that recognized the potential of Tesla as a player in the vehicle software market, completely dismiss electric vehicles as but a prelude to hydrogen propulsion. Hydrogen vehicles, after all, have been around for a while, and for the most part, they have stagnated. The Toyota Mirai, for example, has been around for years, but it has proven to be nowhere near as popular as the Prius, the company’s breakthrough hybrid car.
One thing where both Gress from Continental and Frölich from BMW seem to agree on is that electric vehicle batteries have limitations that could not be overcome. This is a flawed assumption, as batteries have continued to evolve over the years. Tesla, for example, has made significant breakthroughs in battery technology in recent years, as shown in the 2170 cells of the Model 3 Performance, which help the vehicle handle the extreme demands of closed circuit driving. By the end of Gress’ 2030 estimate for hydrogen cars, electric car batteries will most definitely not be the same as they are today.
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
