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The Tesla Effect: Why EVs will take a big bite out of oil demand
The newly defined “Tesla Effect” is producing remarkable consequences. Tesla electric vehicles (EVs) have changed the way that people all over the globe now think about transportation, the place of zero tailpipe emissions, and an accelerated agenda for sustainable energy. One “Tesla Effect” is that the International Energy Agency last month forecast that global gasoline demand has all but peaked because of more efficient cars and the spread of EVs.
Thank you, Tesla.
As a small Silicon Valley startup, Tesla Motors began with a line of luxury electric sports cars that could reliably produce more than 200 miles on a single charge. Due to the wide acclaim and demand it received for its cars, Tesla was able to repay a 2010 loan from the U.S. Department of Energy a full nine years early. Their manufacturing facility in California became the largest auto industry employer in California, and Tesla was soon spreading its mission around the globe. It has achieved success beyond any expectations — except that, perhaps, of CEO Elon Musk — and has prompted other major automakers to accelerate work on their own electric vehicles in order to maintain currency in the market.
And now, while EVs represent less than 1 percent of total vehicle sales, they are predicted to soar in popularity around 2025. That’s when many governments around the globe, including Athens, Madrid, Mexico City, and Paris, have pledged to phase out diesel vehicles in a battle against pollution. These promises, known as “intended nationally determined contributions,” will have significant consequences of their own over the decade that will follow. By 2035, EVs may remove 1 million to 2 million barrels a day of oil demand from the market.
“Anything that reduces the demand for transportation has an impact on the oil market,” Alan Gelder, vice president of refining, chemicals, and oils markets at Wood Mackenzie, said in an interview in London. “The question is how big is it going to be and what’s the time frame.”
Model S and Model X vehicles off the production line seen via aerial drone shot of Tesla factory
Electric cars are displacing about 50,000 barrels a day of demand now, according to the oil industry consultant, Wood Mackenzie, which promotes itself to potential customers as “embedded in the industry, with more than four decades building relationships, improving performance and keeping you ahead of the competition.” To placate nervous clients, Wood Mackenzie says that it does expect total oil demand to keep growing for decades, driven by shipping, trucking, aviation, and petrochemical industries. That’s more conservative than Bloomberg New Energy Finance’s forecast for EVs to displace about 8 million barrels a day of demand by 2035.
Tesla alone won’t be able to supply enough EVs if demand really takes off, Gelder said. Major automakers including Volkswagen AG and Ford Motor Co. will need to produce them on a larger scale. “At the moment they can’t, and changing manufacturing lines takes time.”
Gelder continued his argument by stating that regulation and government subsidies alone won’t be enough to spark a boom in EVs. Consumers, he insisted, will need to believe that EVs are preferred for a variety of reasons. “If there’s a technology revolution, so battery technology gets cheaper and EVs don’t need a subsidy, then it comes down to consumer preference. If the consumers like something, it’ll switch far faster.”
If the global response to Tesla is any indication, EVs are not only here to stay: they’ll be the preferred individual mode of transportation of the future.
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
