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Tesla factory delays show ‘how we stand in our own way’: German industry experts sound off
Water pumping approvals. Bats in trees. An empty tank. These are just a few things that have stopped Tesla’s progress in Germany as it attempts to launch its first electric vehicle manufacturing facility in Europe. It has been a long and trying road for the electric automaker, which has attempted to surf through the waves of German bureaucratic red tape since early 2020. After another delay in the approval process, which has expected production start dates ranging across three quarters, industry experts challenge Germany’s reputation as a place for companies to conduct business.
“Tesla shows the world how we stand in our own way,” Ferdinand Dudenhöffer, Director of the Center of Automotive Research, said. While Dudenhöffer does agree that Tesla should have treaded more carefully during the approval of a battery production facility and been smarter regarding document submissions, the industry expert believes that German red tape has mainly told a story of how hard it is to get things started if you are planning to open a business in the country. “But such hurricanes of resistance show how little sustainable Germany is,” he said in an interview with Handelsblatt.
Coverage of the Gigafactory Berlin project has spanned over two years for journalists in the sector, including myself. Musk announced that Tesla would bring a production facility to Germany in late 2019 while accepting an automotive industry reward. The project began just months later, in the early days of January 2020. More than two years later, a factory, a parage, a carnival, and a lot of speculation regarding when Tesla will finally receive the green light still exist. Earlier this week, German media reported that Tesla would likely not receive permission to begin production and deliveries until mid-March “at the earliest.” It is a far cry from the Summer 2021 start dates that many close to the project anticipated.
The delays are starting to worry those who see Germany as a potential leader in the future automotive industry, which over the past ten years has changed more than it did in the previous ninety. Car companies are not just about making cars anymore. They’re relatively closer to tech companies than anything due to the advancements in software and the widespread focus on developing autonomous driving platforms. Regardless of what a company brings to the table, they will likely have to encounter some major pushback and delays in their project. Even EV leader Tesla is having problems. Dudenhöffer wonders which companies are observing the red tape and the pushback, thinking that other options may be better.
Giga Berlin’s new graffiti panels as of early February 2022. (Credit: @Gf4Tesla/Twitter)
It isn’t just companies, either. Dudenhöffer says that the renewal of motorway bridges can take years or even decades to be rebuilt completely due to new approval procedures. It is not about getting things done quickly, it seems.
When things as simple as bridge repairs are taking over ten years to complete, there has to be an indication that the processes for planning and approval need to be revised. That is what Chief Executive Holder Loesch said, who encouraged the agencies responsible for approving projects to take a look at refining the approval steps. Loesch, whose association is overseeing the installation of wind turbines and industrial plants to double by 2030, says that his plans will include the submission of around 20,000 permits during the course of action. “This mammoth task can only be mastered with a comprehensive reform of planning and approvals that includes processes for industrial plant structures,” he said.
Even Brandenburg Economics Minister Jörg Steinbach submitted ideas to help expedite potential approvals. Driven by the lagging approval process in the Tesla project, Steinbach said that “It should be possible to make changes to the building plan in the ongoing approval process without the process having to be completely restarted.”
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
