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Tesla’s next-gen Model Y from Giga Berlin aims to redefine ‘German engineering’
Tesla’s next-generation Model Y from Giga Berlin in Germany may redefine “German engineering.” A Tweet from CEO Elon Musk shows the company aims to improve build quality down to the micron, a unit of measurement that is equivalent to one-thousandth of a millimeter.
“German engineering” is a phrase that has been around for decades and commonly refers to the precision and accuracy that German products are known for. In the automotive industry’s history, German vehicles have highly been regarded as the most luxurious, highest quality cars that money can buy. In the early years of industry and engineering, Germany had the best machines and the most advanced processes for building basically anything, but cars were the specialty. Strict standards and an attitude that aimed toward perfection made German vehicles the cream of the crop in the automotive industry.
Tesla Gigafactory Berlin render (Credit: Tesla)
This theory still holds true in today’s industry in many ways. While other companies and other regions have highly effective processes for vehicle manufacturing, Germany still has a certain mystique about it. With brands like Mercedes-Benz, Audi, and BMW, three of the most luxurious brands in the automotive market today, German engineering still holds a high standard.
However, Tesla has plans to reinvent the wheel when speaking about the term “German engineering.” In the last 18-or-so months since Elon Musk announced that Tesla’s first European Gigafactory would be in Germany, many developments have hinted toward Giga Berlin being the most advanced and most sophisticated factory that Tesla has in its arsenal. From a new, world-class paint facility to some of the most accurate automated machinery on the planet, Tesla is pulling out all the stops to keep up with Germany’s best brands.
In a Tweet earlier today, Musk said that Tesla is aiming for “extreme precision” with the next-gen Model Y. The company will aim for microns of accuracy, not millimeters, as Tesla aims to continue refining its manufacturing processes to make some of the highest-quality vehicles on Earth.
Aiming for extreme precision with next gen Model Y – microns, not millimeters
— Elon Musk (@elonmusk) May 18, 2021
In the past, Tesla has been criticized for poor build quality with some of its vehicles. Some owners have highlighted panel gaps or paint quality issues with their vehicles, which has led to an overwhelming misconception that Tesla produces lackluster vehicles. The truth is that all vehicle manufacturers have issues with build quality from time to time. Things as simple as an increased production rate can affect the quality of a vehicle. Some, however, like automotive veteran Sandy Munro, have stated that Tesla’s build quality has improved significantly over the years. Munro went from highly critical of the Model 3 during a teardown several years ago to overwhelmingly impressed with the new builds of the car.
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“This car has improved significantly,” Munro said. “The paint is great; it’s very impressive.”
The accuracy that Tesla is aiming for with the next-gen all-electric Model Y crossover is extremely precise. A micron is one-thousandth of a millimeter, so it’s a unit that is not necessarily visible to the human eye. If Tesla can refine its manufacturing lines in Berlin to reach this level, the definition of German engineering may once again be reconfigured to include Tesla’s near-perfect build quality.
What do you think? Let us know in the comments below, or feel free to reach out to me directly at @KlenderJoey on Twitter or through email at joey@teslarati.com.
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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
