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Mercedes EQG spotted completing winter testing

Mercedes-Benz Concept EQG - Credit: Mercedes-Benz

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The upcoming Mercedes EQG, the electric variant of the historic G-Class SUV, has been spotted completing winter testing in Germany.

The Mercedes G Class SUV is one of the oldest model names in the automotive industry, and despite its long heritage, it has changed in design and purpose very little. It remains a boxy offroading SUV that offers the driver and passengers unparalleled comfort. As Mercedes electrifies its lineup, the electrified version of the vehicle, the EQG, has been seen testing ahead of a possible launch this year or next.

The Mercedes EQG was spotted in Germany by the car spotting Instagram, @race356:

 

View this post on Instagram

 

A post shared by Andreas Mau (@race356)

The two pictures show a surprisingly uncamouflaged electric G class, identified not only by its electric circuit-themed wrap, but by its lack of tailpipe and covered grill.

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View this post on Instagram

 

A post shared by Andreas Mau (@race356)

The concept/prototype version of the Mercedes EQG was first revealed in 2021 when the chief designer, Emmerich Schiller, outlined some basic but intriguing technical specifications of the vehicle. Mr. Schiller stated that the vehicle would use a quad-motor all-wheel-drive system paired with a unique ladder frame, an integrated battery, and an intricate 2-speed “transfer case” (for lack of a better term). One central point was made clear by these upgrades; the electric G wagon would not lose its offroading capabilities as it changed its drivetrain.

Other specifications, including pricing, electric range, and more, have not yet been made public by Mercedes, but they may be predicted with reasonable estimates.

The upcoming electric Mercedes should obviously not be expected to come in at a budget-friendly starting price. The gas version of the Mercedes G Class starts at an eye-watering $139,900. Considering the price of other electric models has closely mimicked similar Mercedes gas offerings, it would be surprising to see the vehicle start for less than $140,000.

Considering the range of options and trims that Mercedes makes available, including AMG variants, a Mercedes EQG could be priced from the low $140,000 range to close to $200,000 for a top-trim AMG version.

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In terms of performance specifications, it should be noted that Mercedes’ next-gen EV platform is just around the corner. Mercedes has promised better motor efficiency, higher battery density, and improved performance specifications with the new platform. Nonetheless, you can still get a good idea of the minimum specifications by using the specifications of the parts available today.

If Mercedes used parts from the EQS SUV, the EQG would be fitted with a 107.8kWh battery. This battery, which gives the EQS SUV a range of 305 miles, would likely be strained in the larger, more powerful, and far less aerodynamic EQG. Hence, even if the EQG saw a modest 20% drop in efficiency compared to the EQS SUV, it would only be capable of a range between 200 and 250 miles.

Regarding its output numbers, considering the vehicle uses four motors, the EQG could produce between 1000 and 1400 cumulative horsepower and between 1200 and 1600 pound-feet of torque if it used motors found within the EQS SUV.

Despite the German luxury brand’s numerous videos on the EQG concept, the company has not yet clarified when the vehicle will be launched. Yet with the company completing testing on what is no longer a first-gen prototype vehicle, many anticipate that the vehicle could be revealed in production form later this year or next.

Luckily, due to America’s never-ending demand for SUVs over the past few years, Mercedes is more incentivized than ever to release the vehicle as quickly as possible. Hopefully, this demand, compounded with the company’s drive towards electrification, will mean the historic G wagon becomes electric sooner rather than later.

What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!

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Will is an auto enthusiast, a gear head, and an EV enthusiast above all. From racing, to industry data, to the most advanced EV tech on earth, he now covers it at Teslarati.

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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.

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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.

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.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

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.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

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.

SpaceX is charging Anthropic massive money for its compute

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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.

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