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Tesla, other carmakers’ EV output could ‘vastly outweigh consumer demand’ by 2030: study
With electric vehicles steadily improving and with large markets such as Europe and China embracing sustainable transport, the market for green cars has seen a notable rise. In 2018 alone, two million electric vehicles were sold globally, and all signs point to further growth ahead. In a recent analysis, research firm Deloitte noted that over the next decade, there would probably be an additional 21 million EVs driving on roads across the globe.
Deloitte expects the adoption of electric vehicles to become more widespread in the coming years. From two million in 2018, the research firm expects 4 million EVs to be sold by 2020. By 2025, Deloitte expects global EV sales to hit 12 million. By 2030, the research firm estimates electric vehicle adoption to rise to 21 million units, with battery-electric vehicles such as Tesla’s Model S, 3, and X accounting for roughly 70% of the global auto market’s total EV sales.
Deloitte’s analysis notes that two notable factors primarily drive this strong EV adoption trend. One, there is a growing demand for well-rounded electric vehicles like the Tesla Model 3. Two, government policies from key markets such as Europe and China are becoming more favorable for EVs and EV-buyers, including inner-city restrictions for gasoline and diesel-powered cars.
While electric cars today are still weighed down by their prices, Deloitte’s research suggests that EVs would likely reach cost parity with gasoline and diesel-powered vehicles by 2024. Supported with government subsidies and augmented by technological advances such as Tesla’s ever-evolving driver-assist Autopilot features, the research firm estimates that cost parity with internal combustion-powered cars could be achieved as early as 2021. Michael Woodward, UK automotive partner at Deloitte, explained the firm’s findings as follows.
“In 2018, we saw global EV sales surpass two million units for the first time; twice those sold in 2017. In the UK, the cost of petrol and diesel vehicle ownership will converge with electric over the next five years. Supported by existing government subsidies and technology advances, this tipping point could be reached as early as 2021. From this point, cost will no longer be a barrier to purchase, and owning an EV will become a realistic, viable option for new buyers,” he said.
While Deloitte’s conclusions invoke an air of optimism for the electric car market, though, the research firm’s UK automotive partner warns that there would likely be a point where supply would exceed the demand for electric vehicles. The firm’s research also warns that the number of new and legacy auto manufacturers entering the EV market over the next years would eventually be “unsustainable.”
“Whilst there is a distinct trend developing in the EV market, the story is not a clear cut one. As manufacturers increase their capacity, our projections suggest that supply will vastly outweigh consumer demand by approximately 14 million units over the next decade. This gearing up of EV production is driving a wide ‘expectation gap’ and manufacturers, both incumbent and new entrants alike, will need to adapt towards this new competitive landscape. Those that can successfully build trust in their brand, ensure a positive customer experience from initial sale through to aftercare, and reflect consumer shifts towards the sharing economy in future business models will successfully navigate this. Equally, continual investment in engineering talent and the formation of partnerships with bespoke battery producers and third-party mechanic networks will also be important.”
In a way, the conclusions drawn by Deloitte are a bit strange, since the firm seems to be suggesting that the global demand for electric cars would roughly peak at 21 million a year. Considering that the overall auto market is far larger than 21 million vehicles per year (Statista estimates that over 80 million cars were sold in 2018 alone), the study appears to be suggesting that the demand for gasoline and diesel-powered vehicles would remain steady long after EVs reach cost parity. This is a pretty liberal assumption, which ignores the idea of car buyers completely committing to electric transportation once they try out a premium EV.
Tesla’s growth and triumphs over the years had all but proved that there is a very real demand for premium electric cars in the market. With the release of potentially disruptive vehicles such as the Model Y SUV, the Tesla pickup truck, and the Tesla Semi, the market’s acceptance of electric cars as a preferred form of transportation would likely be even more pronounced. As more car buyers transition to EVs, it would not be too farfetched to assume that the demand for electric cars could far exceed 21 million vehicles per year long after 2030.
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
