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Tesla Model 3 production in China is opening doors to a lucrative car-sharing market
Tesla’s plans for China are ambitious, even by the company’s standards. By the end of summer, Tesla expects the initial construction of Gigafactory 3 to be complete, and by year’s end, the company plans to start Model 3 production in the facility. As the dust settles after the groundbreaking ceremony for Gigafactory 3, though, a notable opportunity for Tesla has also presented itself.
China represents the world’s largest auto market, and its EV industry is growing fast. Amidst this growth, the country has also seen the rise of car-sharing services, which provide commuters a way to get from Point A to Point B without the hassles of public transportation or the responsibilities of owning a car. An analysis from the Nikkei Asian Review last year estimated that car-sharing services in China could hire out as many as 2 million vehicles in 2020 — a notable increase from the 100,000 cars used in 2017.
Since CC Clubs, China’s first modern car-sharing company, was launched in 2010, the industry has seen a notable rise. Amidst the government’s initiatives that make car ownership trickier, the presence of car-sharing services was widely appreciated by the commuting public. Over the years, car-sharing services in the country have steadily transitioned to electric vehicles as well, augmented in part by the government’s subsidies in production and sales of EVs, as well as restrictions placed on ICE vehicles in a number of Chinese cities.
In response to this trend, Bloomberg noted that legacy automakers are launching initiatives to catch China’s car-sharing trend. Last April alone, Didi Chuxing, one of China’s most prominent ride-hailing firms, formed an alliance with auto companies such as Volkswagen AG and Toyota Motor Corp. to develop vehicles explicitly designed for car-sharing. Volvo Cars and Geely Automobile Holdings Ltd. have also launched a car-sharing feature for its new models through its joint venture, Lynk & Co.
It is this particular market that Tesla can breach with the vehicles that will be produced in Gigafactory 3. Tesla has established itself as a maker of premium, desirable electric cars in China, but its vehicles have always been weighed down by import tariffs, which hike up the cars’ prices. With Gigafactory 3 in the picture, though, Tesla would be able to produce and sell its vehicles on the same playing field as local automakers. This presents a valuable advantage to Tesla, which intends to exclusively produce affordable versions of the Model 3 and Model Y in Gigafactory 3.
Ridesharing actually forms a large part of Elon Musk’s vision for the future. In his Master Plan, Part Deux, Musk described his plan of launching a ridesharing service comprised of fully autonomous vehicles. During the third-quarter earnings call, Musk elaborated on his idea, stating that Tesla would be open to the idea of deploying its own fleet of vehicles in areas where there are few electric cars.
“Tesla will for sure operate its own ride-hailing service. There will be a company-owned fleet where there aren’t enough customer cars to be rented out. So if we find in a particular metro (where) there aren’t enough customers who are willing to add their car to the shared fleet, that’s where we’d supplant with the company-owned fleet. So that’s why it’s sort of a combination of the Uber-Lyft thing and Airbnb. We would charge something comparable to how you’d say the App Store works, or I don’t know, we’d charge 30% or something in order for somebody to add the car to the fleet. I think that’s a pretty sensible way to go.”
While Elon Musk’s Tesla Network would not be launched in China in the near future (Full Self-Driving is still under development and regulations for autonomous vehicles are yet to be decided), rolling out a simpler, more basic form of the service in the country would most likely bode well for the company. By deploying fleets of affordable, locally produced Model 3 in key cities for car-sharing, Tesla would likely be able to establish itself as a key player in China’s car-sharing market.
For now, Tesla’s entry into China’s car-sharing industry would likely depend on the progress of Gigafactory 3’s construction. With government support, there is little doubt that the facility would be completed within its target timeframe. If Tesla can keep up and establish a Model 3 assembly line on time, it might not be long before China’s car-sharing market welcomes another large, potentially dominant player.
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
