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Musk outlines cost-cutting plan for Boring Co: cheaper, faster tunnel digging
One of the large reveals made by Tesla and SpaceX Chief Elon Musk at TED2017 was his plan to create a multi-layer high-speed tunnel infrastructure to support mobility by way of electric skates and Hyperloop tubes.
A key point that he drove home for the underground tunnel network was the integration of the system into cities.
“You have to be able to integrate the entrance and exit of the tunnel seamlessly into the fabric of the city. So, by having an elevator, sort of a car skate that is on an elevator, you can integrate the entrance and exits to the tunnel network just by using 2 parking spaces.”
Musk shared a video demonstrating how skate elevators would be integrated into city streets where they await vehicles looking to be transported through the underground labyrinth of tunnels. The serial tech entrepreneur envisions loading docks wherein vehicles would simply pull into the skate, get lowered into the tunnel network, and be sent along a slot car-like track at speeds of 200 km/h ( 124 mph). The Boring Company’s tunnel network won’t simply alleviate surface congestion, it will completely transform the way we move cars, people and freight, says Musk.
It is worth noting that The Boring Company and Tesla are under control of Musk, while the Hyperloop project has been open sourced, but with support from SpaceX.
Eliminating human drivers allows the skates to move at much faster speeds than human-controlled vehicles. Fixed routes within the tunnel network further improve safety beyond the dynamic nature of human-determined driving routes. The tunnel network is also infinitely scalable. “You can alleviate any arbitrary level of open congestion with a 3D tunnel network.” and that “There’s no real limit to how many levels of tunnels you can have.”, says Musk from TED2017.
The key barrier to creating tunnels today is the exorbitant cost. The recent 2.5 mile expansion to the Los Angeles subway system came at a cost of nearly $1 billion per mile. Musk and team at the Boring Company hope to cut the cost of tunneling by a significant amount by streamlining the tunneling process and reinventing the machines that help facilitate the digging.
https://www.youtube.com/watch?v=u5V_VzRrSBI
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Building Tunnels For Less
First, the team is looking to cut the diameter of the tunnels they dig, moving from the traditional tunnel diameter for passenger vehicles of 26 to 28-feet to a 12-foot standard diameter which would be sufficient for the Tesla skate. On the surface, this might not seem like a lot, but cutting the diameter by 50% cuts the cross sectional area by a factor of four. This is significant as the speed and cost of tunneling is largely driven by the amount of cross sectional area to dig. Being able to cut out 75% of the time associated with digging comes with enormous cost savings.
Second, the team plans to attack head-on the way tunneling machines currently dig. Traditional machines dig, slowly and incrementally, then stop to install reinforcements to support the newly exposed earthen walls. Musk and team are working to install the reinforcements continuously thus eliminating the need to pause operations. This integration is expected to increase the speed of the overall process by as much as 50%.
The Boring Company tunneling machine spotted in front of SpaceX in April, 2017
Finally, the team believes that current digging machines are nowhere near their power and thermal limits, and is looking to ‘jack up the power’ to the digging machines. Doing this, the team hopes to increase the speed by a factor of 4 or 5 on top of the other improvements being suggested by Musk.
Musk also revealed that The Boring Company has a pet snail named Gary who can currently travel at 14 times the speed of existing tunneling machines. While this is more a testament about how slow the boring process is than the amazing speed of Gary, it is a fun target for the team, to be able to build tunnels quicker than Gary can crawl, and continues the comedic spin on the new company.
These tunnels could be kept at or near a vacuum to reduce or eliminate air resistance for all the moving objects within it. Curiously, Musk shared that,
“To withstand the water table, you have to design a wall to be able to withstand 5 or 6 atmospheres. To go to vacuum, you only need to be able to withstand 1 atmosphere.”
It is clear that Musk is very excited about this new Boring Company. He indicated during his sit down at TED2017 that he spends 2-3% of his time on the project, noting that it’s essentially being run as not much more than an intern project with a used boring machine and a few people dedicating partial effort to it.
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.
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.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
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.
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.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
