Investor's Corner
Tesla shares video of drifting Model 3 Performance during skidpad testing
Tesla has shared a video of the Model 3 Performance during skidpad testing. The short clip, which was uploaded by the Silicon Valley carmaker on Twitter, featured the high-performance variant of the compact electric car burning rubber and drifting around what appears to be a closed area of the company’s test track.
Skidpad tests usually involve accelerating a vehicle until the outermost tires begin slipping. Once this happens, the speed of the vehicle is recorded, and a car’s handling in terms of lateral gs can be derived. Tesla did not mention the skidpad numbers of the Model 3 Performance in its recent post, but vehicles’ figures in the tests are usually correlated with the overall handling of the car. Skid pad tests can be among the most productive evaluations for high-performance vehicles and yield invaluable feedback from experienced test drivers.
Model 3 Performance skidpad testing (🔈on!) pic.twitter.com/YEt8I5jewZ
— Tesla (@Tesla) July 6, 2018
The Model 3 Performance is the top-tier variant of Tesla’s mass-market compact electric car. The vehicle boasts two electric motors, a 0-60 mph time of 3.5 seconds, a top speed of 155 mph, as well as a range of 310 miles per charge. Initially announced with a price of $78,000 including all options such as white seats and premium paint except Autopilot, the vehicle’s sticker price was eventually lowered by Tesla to just $64,000 if fitted with standard seats, non-premium paint, and a top speed limited to 145 mph.
Among the options available for the vehicle is the $5,000 Performance Upgrade, which includes 20″ Performance Wheels, a Carbon Fiber Spoiler, Aluminum allow pedals, and a top speed boost to 155 mph. As we noted in a previous report, the Model 3 Performance will also feature a unique, underlined badge that reads “Dual Motor.”
The first Model 3 Performance Dual Motor rolls off the assembly line. [Credit: Elon Musk/Twitter]
Elon Musk initially announced that Tesla would probably start the production of the Model 3 Performance around July, when the company achieves a steady pace of producing 5,000 Model 3 per week. Midway through June, however, Elon Musk surprised the Tesla community by tweeting a picture of a red Model 3 Performance coming off GA4, a new assembly line set up in a sprung structure at the grounds of the Fremont factory. Musk did not state if the production of the Model 3 Performance had already started, but an image of the compact electric car’s seats that Musk later uploaded revealed that Tesla is already producing white seats for the vehicle.
If Tesla’s recently shared video is any indication, it appears that the testing for Model 3 Performance is well underway. Looking at the way the car moves in the short clip, it definitely seems like the vehicle could live up to Musk’s bold statement that the compact electric car would feature better handling than vehicles like the BMW M3 on the track.
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Tesla is expected to offer the Model 3 Performance as test drive vehicles for the electric car. In a tweet last month, Elon Musk noted that test drives for the Model 3 Performance would likely start sometime in July.
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.
Elon Musk
Another Tesla SpaceX merger prediction by ARK Invest has Elon Musk talking
Elon Musk again denies a Tesla China split as new SpaceX merger speculation resurfaces quickly.
Elon Musk restated that Tesla has no plans to separate its China business from the rest of the company, responding to a new round of merger speculation from ARK Invest.
On the firm’s “Brainstorm” podcast, Cathie Wood’s team, including chief futurist Brett Winton and research director Nick Grous, argued a Tesla and SpaceX combination remains likely, with an announcement possible before the end of the year even if the deal itself would not close that quickly. Winton called Tesla’s Shanghai operations a “small ish wrinkle” for a merger rather than a real obstacle, since SpaceX’s national security work with the U.S. government sits uneasily next to Tesla’s manufacturing base in China.
Musk pushed back on the framing directly. “China is awesome. I strongly encourage people to visit,” he wrote on X. He also repeated language he first used in late July, when the Wall Street Journal reported that Tesla executives had been told to prepare for a possible spinoff, sale, or closure of the China business ahead of a SpaceX tie up. Musk called that report “absurdly fake news” at the time, adding that a separation had “never even come up in a discussion ever,” a line he echoed again this week.
The repeated denial has not settled the underlying question, because Shanghai’s role in Tesla’s business is exactly what makes a merger complicated. Gigafactory Shanghai still ships more than half of Tesla’s global deliveries and functions as the company’s main export hub for Europe and Asia. Teslarati previously reported on Musk’s initial denial, and the merger conversation itself has been building since SpaceX’s IPO gave it public shares to use as acquisition currency.
Wedbush’s Dan Ives has pegged the odds of a Tesla SpaceX merger at 80 to 90 percent by early 2027, and ARK’s prediction of a year end announcement adds another data point to that timeline, even as Musk keeps rejecting the specific mechanics reporters have described. Neither position rules out the other. Musk can deny a China spinoff was ever discussed while analysts still expect some form of combination to move forward, since ARK and Ives are both describing convergence at the corporate level, not necessarily the internal restructuring the Journal described in July.
For now, Tesla’s China business remains intact, and Musk’s comments this week make clear he has no interest in publicly walking that position back, no matter how often the merger question resurfaces.
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Elon Musk
The real reason Elon Musk wants every car connected to space
Elon Musk says all cars will eventually need Starlink to handle massive AI bandwidth demand.
Elon Musk is making the case that satellite internet, not fiber or cellular towers, will end up wired into every car on the road. In a string of posts on X, the SpaceX CEO wrote that all cars will have Starlink in the future and called satellite connectivity the only way to get super high bandwidth to billions of vehicles.
The posts started with Musk endorsing a Cloudflare forecast that traffic generated by autonomous AI agents will soon dwarf traffic generated by humans browsing the internet, a shift he described as not a close call at all. From there he narrowed the argument to infrastructure, writing that the only system that can support the insanely fast bandwidth growth needed by AI is Starlink, before extending the logic to cars specifically.
AI agentic Internet traffic will obviously VASTLY exceed human usage. Not a close call at all.
Cloudflare’s forecast is accurate. https://t.co/VztgrinN5k pic.twitter.com/Wo4FiRKjPU
— Elon Musk (@elonmusk) August 9, 2026
The timing lines up with Tesla’s own hardware decisions. On July 20, Tesla confirmed the Cybercab would ship with a Starlink V5 terminal built into its roof, the first time the company had put satellite hardware in a production vehicle. A day later, Tesla’s head of AI, Ashok Elluswamy, explained the connection wasn’t there for safety and that Cybercab’s driving stack runs entirely on onboard cameras and compute, while the satellite link exists for navigation, customer service, and fleet management instead. Musk followed with his own post about the feature, saying riders would be able to watch 4K streaming video during rides.
By July 22, Musk had already said Starlink would extend beyond Cybercab to Tesla’s full lineup. Sunday’s posts push that same logic outward again, this time framed as a requirement across the industry rather than a feature specific to Tesla, and tied directly to the bandwidth AI systems are expected to consume.
SpaceX’s newest Starmind will make earth data centers obsolete
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The AI argument has been building on SpaceX’s side for months. The company has an FCC filing pending for a third generation Starlink constellation, and it has separately proposed Starmind, a constellation of up to a million satellites designed to run AI computation directly in orbit rather than just relay data. Musk has said he expects space to become the cheapest place to deploy AI compute within two to three years. Starlink and Starmind serve different jobs inside that vision, one moving data and the other processing it, but Sunday’s posts treat vehicles as one more category of hardware that will eventually need both.
None of this changes anything for Tesla owners today. Cars already on the road keep running on LTE and Wi-Fi, and Tesla hasn’t outlined a retrofit path for existing vehicles. The July 22 commitment applies to future production, not the fleet already delivered. What Musk added on Sunday is the reasoning: satellite connectivity isn’t a Cybercab novelty, it’s a bet that ground based networks won’t keep up with how much data cars, robots, and AI systems are about to generate.
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