BYD and other Chinese automakers have studied the European auto market for years. Now, it’s time to put their knowledge to the test and go all-in on the European auto market.
BYD’s strategy to take over Europe was recently revealed in a report by Reuters. The publication also shared details about how other Chinese automakers are entering the European market and their plans to beat top-selling brands like Tesla and Volkswagen in the EU’s local electric vehicle (EVs) market.
Below are the strategies BYD and Chinese automakers are implementing to deploy their vehicles in Europe.
- Understand European car consumers and their needs
- Improved marketing to increase brand awareness
- Expand dealership networks
- Build an extensive after-sales care service network, including improved service-and-repair operations.
- Protect resale values
The roads are buzzing with SUPER DM technology. The BYD SEAL U DM-i combines a range of more than 1000km with an attention to detail in every inch of its interior. It's the perfect synthesis of comfort and adventure.#BYD #BuildYourDreams #BYDSEALUDMi pic.twitter.com/gSNGtLzQV4— BYD Europe (@BYD_Europe) May 22, 2024
China Cars with Europeans in Mind
BYD and Chinese automakers have learned that adapting and importing cars from China to Europe is not enough. They have studied European car owners to understand the details they look for when purchasing a vehicle. As a result, some Chinese car brands have started designing cars from scratch for European buyers.
For instance, Chinese automakers have learned that safety ratings are important to European car owners, so they have improved their vehicles with safety as a priority.
“In China, the purchase price is important. But for European consumers, it’s not just price, but total cost of ownership, including maintenance, service, and residual values,” commented Bo Yu, JATO Dynamics’ Greater China Country Manager.
China-based car manufacturers are also strengthening and expanding repair-and-service operations to enhance after-sales care in Europe. Plus, they have started understanding the importance of resale values for European car owners.
“There are hard rules on issues like safety and that are clear, and then there are soft rules that aren’t written down. The Chinese are very eager to learn the soft rules,” said Ben Townsend, Head of Automotive at Thatcham.
Chinese Automakers’ Biggest Advantage
Electric vehicles have offered brands—both old and new—a chance to grow and expand in the transitioning auto market worldwide. Many automakers have not been phased by the EV market’s slowdown and are charging ahead in electric vehicle development. As such, EVs have become a good entry into the European market for China-based automakers.
Electric vehicles offer Chinese automakers one significant advantage in the global auto market: affordable prices.
China has also started to promote and grow its new energy vehicle (NEV) market, which includes battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). The Chinese government financially supports local car companies through subsidies and its ever-expanding EV supply chain. China is ahead regarding battery-minerals mining, a critical part of the EV supply chain that affects costs.
The local government’s support has resulted in decreased EV prices, like the BYD Seagull, which is under $10,000 in China. The United States has tried to combat against Chinese EVs’ affordable prices by increasing import tariffs by 100%. Europe is expected to raise import tariffs for Chinese EV imports as well. However, the EU’s import tariffs might not be enough to dissuade consumers from affordable EV prices.
The BYD Seagull, for example, is expected to start below $20,000 in Europe even after EU tariffs. Volkswagen, one of Europe’s top car brands, doesn’t expect to launch an EV below €20,000 ($21,631) until 2027.
Equipped with a Europe-focused affordable EV, Chinese automakers have one more obstacle to tackle: brand awareness. BYD is already working on spreading its brand in Europe by participating in and funding local sporting events, like the Europe 2024 soccer championship. It is also working closely with local dealerships.
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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.”
News
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.