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Tesla launches Giga Berlin website with focus on jobs and commitment to sustainability
Tesla launched the official website of Giga Berlin to showcase a multitude of career opportunities and the company’s strong commitment to sustainability for its first European factory.
With goals to create as much as 12,000 new jobs for residents of Grunheide, talent from across Germany and the rest of Europe, Tesla is looking to fill various positions in construction, manufacturing, engineering, and operations.
“Phase 1 will focus on production of Model Y, with a target capacity of 10,000 vehicles per week. We estimate that during Phase 1, we will employ up to 12,000 people, with roles being filled by local residents and employees from wider Europe. We want the best talent collaborating and working together to achieve the mission,” Tesla wrote on its new Giga Berlin website.
In addition to the various positions that Tesla seeks to hire for construction of its factory are manufacturing and engineering roles that will be focused on production line design as well as vehicle manufacturing.
Tesla is looking to form a team of professionals that will help “create the factory of the future” at Giga Berlin. Among the job openings is a position for a stamping production manager who will oversee the designing and building of new tooling for the production line. Tesla is also looking to hire chemical engineering leads who can help “create novel detailed designs for a wide range of systems from electrolyte to high purity water,” a position that can be crucial in the planned battery cell production at Giga Berlin.
The new positions in Germany further bolster Tesla’s strong presence in Europe as an employer. The company already has a strong workforce at its Model S and Model X assembly facility in Tilburg in the Netherlands, as well as at the Tesla Grohmann Automation in Prum, Germany. These facilities account for around 5,500 workers.
Tesla plans to begin construction of the Giga Berlin by mid-March and begin production as early as July 2021. In January, the Tesla board has approved the purchase agreement of the Grunheide property for about $45 million and is awaiting the second appraisal of an independent party. The electric car manufacturer has also started submitting documents needed to process a grant that can amount to 100 million to help fund the construction of Giga Berlin.
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Earlier this week, the clearing of trees on the Giga Berlin build site was put on hold by court order after an environmental group lodged a complaint. Tesla has promised since the start to comply with all the rules in Germany and to focus on sustainability. It has outlined recently the environmental control measures it is taking to abide by the strict rules in the country such as relocation of wildlife from the forest. The Silicon Valley-based carmaker also put these things in the spotlight on its Giga Berlin website where it messages its commitment to improving the environment near Giga Berlin and the rest of the state of Brandenburg by collaborating with experts, environmental groups, residents, and German authorities.
Tesla will be replanting an area three times the size of its factory plot and has, so far, identified potential mass tree planting zones in Brandenburg an der Havel, Baruth/Mark, and Baad Saarow.
Giga Berlin will also install solar in a bid to help achieve the country’s “Energiewende” goals. Energiewende is the planned transition of Germany to a nuclear-free economy and expand the usage of renewable energies. The country aims to cut its greenhouse gas emissions by 40% this year, by 55% in 2030 and up to 95% come 2050 compared to the GHG levels in the 1990s.
On Wednesday, the Minister for Economic Affairs Jorg Steinbach will issue an update on the state of preparations for Giga Berlin during a meeting of the Economic Committee in the State Parliament.
Recently, Federal Minister of Economics Peter Altmaier voiced his support for the speedy construction of Giga Berlin, pointing out that any delay defeats the purpose of climate protection.
“The construction of the Tesla automobile plant in Brandenburg has been of great importance for more climate protection and one of the most important industrial settlements in the new federal states for a long time,” Altmaier said.
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Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
