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State officials highlight worker choice in Tesla Giga Berlin labor dispute
As Tesla faces continued labor efforts in Europe over whether the company’s German Gigafactory will sign a collective labor agreement, the automaker has largely doubled down on the idea that its workers are better off being independent from a union’s influence. However, local officials have recently explained why they think an agreement could be mutually beneficial for workers and for Tesla overall, though they emphasize that it’s ultimately up to the workers.
Earlier this month, multiple workers at Tesla’s Gigafactory Berlin, including the works council leader, defended the company’s avoidance of a labor agreement, saying the automaker’s close proximity to the workers made it easier to make routine changes and find solutions for workers.
In recent statements to Teslarati, an official from the Brandenburg Ministry of Economy, Labor and Energy has noted how social partnership between workers and unions contributes to the German economy and to companies overall, while the autonomy of employees to choose remains an important part of the equation.
“It would be good if IG Metall and Tesla could agree on a collective labor agreement or at least talk about it,” said Felix Dollase, a spokesperson for the Brandenburg Ministry of Economy, Labor and Energy, in an email to Teslarati. The statements closely echoed those from Brandenburg Minister Jörg Steinbach made earlier this month.
“Like Social Partnership as a whole, this would have many advantages for both sides. Social partnership is partly responsible for prosperity. It has been creating conditions for economic growth for decades and is also responsible for a well-developed welfare state,” Dollase added.
In Germany, it is up to each individual worker to decide whether they want to join a union, and the greater the proportion of union-represented workers, the greater the strength of the union in that company, as Dollase clarified in the email. In addition, he explained that workers have the right to elect and facilitate a works council, which can’t be taken away by the company, and unions are allowed to offer up an electoral candidacy list during elections.
The result, Dollase says, is an effective system of businesses that play an important role in Germany’s economy and society. However, he also says individual autonomy in choosing whether or not to join a union plays an equal role in this process.
“This is not an obstacle for productivity, but increases it, and makes an important contribution to stabilizing society and the economy,” Dollase added. “This is why Social Partnership is and remains an important part of our economic system. But it is also characterized by the autonomy of the social partners.”
Tesla’s Giga Berlin elected a works council in 2022, though IG Metall has accused it of being comprised primarily of lower-level leadership workers who are close to executive management (via Wall Street Journal). The leader of the current works council at Giga Berlin recently also opposed a collective labor agreement with IG Metall in a report, saying that union influence would make the company lose its agility.
“We are close to the workforce,” said Michaela Schmitz, leader of Giga Berlin’s works council. “Our agility will be lost if we are influenced from outside.”
“We are focusing on ourselves in order to find solutions for our employees quickly and without unnecessary escalation and thus make changes happen significantly faster,” said Andre Thierig, senior director of manufacturing at Tesla’s Giga Berlin, in the same piece.
As of writing, Tesla and IG Metall have not responded to Teslarati‘s requests for comment on the ongoing labor efforts.
The statements come as Tesla faces strikes in Sweden, lodged by union IF Metall, and including sympathy strikes from other entities. Despite IF Metall’s attempts to encourage unions around the world to target Tesla, including IG Metall, the German union highlighted autonomy then too, noting the importance of individual workers having the choice as to whether or not they should join a union.
“If IG Metall got to decide, Tesla’s employees would have a collective agreement,” said IG Metall spokesperson Markus Sievers in a statement last month about the encouragement to join strike efforts. “But the initiative must come from the employees.”
One Tesla Sweden worker recently spoke out after being expelled from IF Metall, due to his unwillingness to join the strike. The worker, who asked to remain anonymous, said he is facing “harassment” from the union, adding that he feels “terrified” of them as they “try to make it difficult” for workers. Operationally, the Tesla Sweden employee explains, work has not changed much, despite the labor union’s efforts.
“The main reason is that I care about the environment and enjoy my job,” the worker said as to why he won’t join the strike. “And I care a lot about our customers too. I want customers to feel safe choosing Tesla.”
Despite this, IG Metall said in October that Tesla workers at Giga Berlin were joining the union in droves, largely due to health and safety concerns. Last January, the union also claimed that workers weren’t getting enough time for “leisure, family and recovery,” once again emphasizing that it thinks Tesla needs a union in Germany.
Tesla gets new neighbor as Germany’s IG Metall union builds office near Giga Berlin
Are you a worker at Tesla’s Gigafactory Berlin or a member of the German union IG Metall? If so, reach out and tell me your thoughts at zach@teslarati.com, find me on X at @zacharyvisconti, or send us your tips at tips@teslarati.com.
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Hardware 3 owners could be made whole this month
SpaceXAI just launched into your kitchen with their new app
