Tesla Giga Berlin will have a battery cell production facility, and the question just comes down to when. Appropriately enough, when the company finds the help it needs to get the cell production portion of the facility underway, Tesla will start manufacturing batteries. The real shortcoming is the fact that the required talent isn’t available, and high rates of employee turnover could lead to delays in the company’s plans to produce cells in Germany.
Jefferies analyst Philippe Houchois asked Tesla CEO Elon Musk and Senior VP of Powertrain and Energy Engineering Drew Baglino what issues Tesla may encounter on its journey toward full-scale cell production at the future German plant.
“Will there be the battery capacity consistence with the amount of assembly volume you expect to come out of the — And if not, would you be able to source your battery requirements out of Europe? Or would you have to import batteries from outside Europe to ensure production in Berlin,” Houchois asked the two Tesla execs during the Q2 2020 Earnings Call.
Musk confirmed that Giga Berlin would have cell manufacturing that would handle the production load that comes out of the facility, but Drew Baglino gave more detail on what the delays could be. Hint: It has to do with a lack of available talent.
Baglino mostly added onto Musk’s comment, confirming that a cell production facility would be in Berlin eventually. Still, it depends on when the company can put together a sufficient battery manufacturing team at the new Gigafactory.
“Like the same goes in all areas of cell, supply chain, manufacturing materials, design, we are solving this problem, and we’re treating it like any other problem that we have solved. We will solve this problem, talented people to join us as we solve this problem,” Baglino said.
Once the workers get there, they need to stay. They can’t be in “the garden,” as Musk calls it.
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“My biggest concern for getting our talented people is just probably Berlin because the labor mobility in Europe is not as low. I would recommend changing this. Like somebody wants to leave and join another company,” Musk said. “Sometimes they have to spend six months on garden leave. It’s called garden, hanging out in the garden basically, and like this is not a good use of people’s time. I mean, if they want us to hang out on the garden, that’s fine, but they shouldn’t have to.”
Interestingly enough, workers leaving Tesla to join other companies is a relevant issue. Tesla has filed multiple lawsuits, most recently against fellow electric carmaker Rivian, that accused the company of poaching employees. Tesla also has an open case with China-based Xpeng.
But either way, Tesla needs the workforce, and manufacturing jobs for Giga Berlin are of high availability, according to the company’s Career page.
Earlier in the call, Musk and Baglino both talked about the need for manufacturing workers who would be willing to help the company improve production lines.
For a long time, Musk has stated that Tesla is looking for brilliant minds to help revolutionize the way the company manufactures vehicles. The CEO has said that too many smart people end up going into medicine or law, and improvements to manufacturing are needed as well.
Battery cell shortages were inhibiting Tesla from starting projects in other locations. One of those projects was the Tesla Semi, which Elon Musk indicated would begin a “volume production” push later this year.
The issue with producing the Semi beforehand was a shortage of battery cells. But now that the company has openly committed to building the commercial truck at Giga Texas, there is an indication that battery shortages are not an issue any longer.
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The cells are there, but the workers are not. Tesla will eventually build these cells in Germany. Still, there needs to be an accommodating team to handle the workload, especially considering half a million vehicles a year will be rolling off the production lines starting in July 2021.
The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
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The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
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Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.
In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.
10 million vehicles produced globally.
Congrats to all Tesla teams! pic.twitter.com/JkcraR63bs— Tesla Manufacturing (@gigafactories) July 30, 2026
Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.
The 10 millionth vehicle was a Diamond Black Model Y.
Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.
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This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.
Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.
Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.
Autonomous vehicle red tape gets slashed by Trump Administration
Elon Musk has a crazy prediction about AI in two years
