Investor's Corner
Tesla Autopilot Option May Cost $67k to Retrofit
Unless you’ve been hiding under a rock for the last few weeks you’ve likely been blasted with news about the Tesla Autopilot option. Like many existing Model S owners, I drooled over the thought of having the dual motor option along (the “D”) and the autopilot / automatic cruise control (ACC).
RELATED: A First-hand Account of the Tesla D Event
This led to a very public outcry by a group of soon-to-be Model S owners that happened to miss the mark by placing their order days before the new features were announced. In other words, their Model S won’t be bundled with these new Tesla D options.
I digress but I personally think they need to get over it. Technology advances continuously (especially with Mr. Musk behind the wheel) and your choice to purchase the car at the time that you do is just that – your decision.
So, what if you could upgrade your existing Model S with the Tesla D options? How much would something like that cost?
Labor is Costly
Tesla’s official answer on whether Tesla Autopilot can be retrofitted is “No” and that is not going to change anytime soon. The changes are extensive, invasive and need to be done when the car is being built.
Our friend TeslaTap estimates that it would cost a staggering $67,000 if Tesla were to retrofit older Model S with the autopilot feature.
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It’s less labor intensive and more economical if one were to integrate the hardware and electronics during the construction of the Model S versus having to dismantle the vehicle, build new mounting provisions, re-wire, installing new hardware, and reassemble the car after the upgrades were in place.
A retrofit just doesn’t make economical or logistical sense and is likely why Tesla does not offer it as an option for existing Model S owners. Let alone, Tesla Service Centers wouldn’t be equipped or have the capacity to handle such an extensive retrofit.
What Would a Tesla Autopilot Retrofit Consist Of?
For starters, the Model S would need to be completely re-wired to account for the autopilot hardware consisting of long-range radars, ultrasonic sensors, new camera equipment and new front nose cone sensors. The entire front and rear fascia of the vehicle would also need to be removed in order to access the new mounting position. The Tesla D option also brings new electric brakes – all-around – and electronic brake controllers to be paired with the autopilot feature.
TeslaTap estimates that the cost of parts would run somewhere around $20k – not too terrible considering this would represent approximately 15% of the price of a fully loaded Model S. But, the kicker? Labor. 269 hours of it.
Tesla Service Centers bill at $175/ hour which tacks on an additional $47,075 in labor costs. This brings a grand total of over $67,000 for parts and labor if one were to truly consider retrofitting Tesla autopilot to the Model S.
It’s no wonder why Tesla Motors will not consider retrofitting existing Model S owners with the new autopilot feature – no matter how loudly they complain. Not retrofitting existing cars will likely create a burgeoning Tesla secondary market.
Hmmm … interesting.
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Source: TeslaTap
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.
SpaceX AI investment gamble will make it a big winner, firm says
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