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Tesla formally wins final environmental approval to open Gigafactory Berlin
The wait is finally over. After a long process that saw delays, controversies, and other drama, Tesla Gigafactory Berlin has won its final environmental approval from Germany. An official document confirming the update was published by the State of Brandenburg, outlining the next steps that the electric vehicle maker needs to do to start vehicle production in its Germany-based electric vehicle factory.
As per the state’s press release, the approval for Giga Berlin covers several activities, such as the production of up to 500,000 vehicles per year. The approval also includes battery cell production activities within the Giga Berlin complex, which should allow Tesla to manufacture its in-house cells from within Germany.
“The project, which was approved with the 536-page decision, includes the plant for the production of up to 500,000 vehicles per year, aluminum smelting plants and an aluminum foundry, plants for surface treatment, heat generation, and storage. The facility also includes battery cell production, an operational wastewater treatment plant, a fire brigade equipment house, a high-bay warehouse, as well as laboratories and workshops,” the press release read.
It should be noted that while it may have taken two years to get to this point, Gigafactory Berlin’s formal approval was still completed in a quick manner, at least relatively speaking. The past two years, after all, required the State Office of the Environment to not only inspect and approve the factory itself, but also the entire industrial area with several large-scale facilities. Environment Minister Alex Vogel expressed his thanks to the state’s employees and other authorities for Giga Berlin’s quick approval process.
“As a high-performing state administration, you have always focused on the technical requirements, the high level of protection of the environment, the protection of the general public and the neighborhood from dangers, even under the pressure of great public interest and unreasonable harassment as well as the legal certainty of the procedure. In times of climate crisis, the availability of water will play an increasingly important role for future developments and settlements. Above all, digitization can help to simplify and accelerate processes without restricting environmental standards and participation rights,” Vogel said.
District Administrator Rolf Lindemann emphasized that Giga Berlin benefits the region. The fact that the project faced much adversity, and was still able to achieve a milestone such as a final environmental approval in a relatively short time, proves that the project’s potential is vast. He also noted that Giga Berlin, as well as those that have been working with Tesla over the past two years to approve the project, shall face whatever challenges lie ahead with vigor.
“The Oder-Spree district described the Tesla Gigafactory as a real stroke of luck for the development of our region. We have therefore mobilized all our strength to help turn this unique opportunity into a visible success. It wasn’t always easy, and we’re anything but done when it comes to the final form of the overall project. But we all have reason to be proud of what we have achieved so far, despite all prophecies of doom.
“That is why we will face the further challenges that lie ahead with confidence and with undiminished vigor. I am referring to the official support of the further expansion stages, the completion of the battery factory and of great importance, especially for local politics: as far as possible, a stress-free integration of the Gigafactory into the traffic infrastructure . However, in order to be able to meet the sustainability aspect and smooth mobility in connection with production, it is of course necessary to start building housing close to the location and to create the associated social infrastructure. We trust in the same support from the state government that we have been able to rely on in the past,” Lindemann said.
While Giga Berlin’s final environment approval has been secured, Tesla still has to ensure that it meets the state’s requirements. These are highlighted by the mammoth size of its approval documents, which comprise over 23,700 pages in 66 files. More than 400 ancillary provisions are included, involving topics such as requirements for groundwater protection as well as water-saving and wastewater-reducing measures, species protection measures, limit values for air pollutants and regulations on their measurement as well as occupational safety requirements. Other specific rules on the plant’s operations, particularly with regards to how it affects the area’s groundwater, were also highlighted in the press release.
“There are 113 air pollution control requirements, which include respective chimney heights for each exhaust air stream. In addition, 22 requirements determine the methods and intervals at which the exhaust air is to be measured. 96 requirements for drinking water protection, waste water disposal and rainwater specify, among other things, limit values for discharge into the waste water pressure line and corresponding cleaning processes. When using building materials, it is important to ensure that no harmful substances get into the groundwater. With groundwater monitoring, both the formation of new groundwater and the quality of the groundwater must be checked regularly. In view of the tense water situation, not least due to climate change, it should be possible to react to changes as early as possible.
“After the inspection by the approval authority, the entire system falls under the provisions of the Hazardous Incidents Ordinance (12th BImSchV) and must therefore take special precautions to prevent incidents and limit the effects of incidents, as well as maintain an appropriate safety distance from adjacent protected objects. Tesla must draw up an incident concept and comply with special information obligations,” the press release read.
The state noted that Tesla may now start or continue with the further construction of Giga Berlin and that objections to the project now have “no suspensive effect.” It should be noted, however, that before Tesla can actually put its Model Y production facility into operation, several ancillary provisions must be met first. These provisions, which include the installation of measuring devices for air pollutants and precautions for fire protection and accidents, will be checked by the responsible authorities. Once Tesla completes this step, Model Y production for customer vehicles could finally commence.
Needless to say, all eyes are now focused on how quickly Tesla can meet the requirements for Giga Berlin’s operational permit.
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Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
