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Why The Boring Company’s $10 million dollars per mile price tag is a game changer
With The Boring Company, Elon Musk hopes to overcome the pitfalls that drive up the costs of underground rail transport construction using good old-fashioned innovation with a dash of Silicon Valley startup dust (dirt?). Currently, most U.S. local and state governments (i.e., tax payers) hand over an average of $200-$500 million dollars per mile to construct a subway system, with hundreds of millions more per mile a common occurrence and even a $1 billion dollars per mile price tag having happened a few times already. The reasons for such expense seems to be multi-faceted and stubborn: regulations, unions, and project management. So, when the Tesla CEO and Boring Company founder cited $10 million dollars as the final price of their mile-long demonstration tunnel, including internal infrastructure, lighting, comms/video, safety systems, ventilation, and tracks, he seemed to be threatening to completely upend yet another industry, this one having been at the core of transportation for nearly 200 years.
“I like trains, by the way. I really like trains a lot,” Musk assured his press audience at the company’s recent demonstration tunnel opening event. The Boring Company (TBC) began as a Twitter discussion wherein the tech mogul was venting about “soul-destroying” traffic in Los Angeles. A concept animation followed soon after (as well as hats and not-a-flamethrowers), imagining a transportation system where cars would be shuttled around at high speeds underground on electric skates. Ideas flowed, tunneling began, and the result of all those efforts went on display December 18, 2018, demo rides included. A rideable 1.14 mile tunnel had been constructed from Crenshaw Boulevard across from the Hawthorne, California headquarters of SpaceX, Musk’s private rocket company, to the 120th Street/Prairie Avenue crossroad of Hawthorne.
Around this time last year, Brian Rosenthal of the New York Times exposed several astonishing factors that added up to a $3.5 billion dollars per mile cost to construct a 3.5 mile tunnel to connect Grand Central Terminal to the Long Island Rail Road in New York City, aka the “East Side Access”. An infamous “first”, this price tag is 7 times more than the average of anywhere else in the world. A combination of trade union, construction company, and consulting firm practices, including significant staff redundancy, bred an environment ripe for cost pile-ups, and both incompetence and the lack of oversight within New York’s Metropolitan Transportation Authority (MTA) added significantly to the issue. While the specific amount of money spent made the system’s cost unique in the world, the general underlying issues were not uncommon.

New York may be an exception to the already high-cost of rail construction rule, but there’s the rub: It’s already incredibly expensive. As documented in numerous articles by Alon Levy, an independent journalist whose 2011 blog post on the topic inspired the research that eventually led to the Times piece, $100-$500 million dollars per mile is a typical cost for building railed transporation worldwide. “These are crazy numbers,” Musk exclaimed at the tunnel opening event after summarizing the multiple billions of dollars short tunneling projects cost to complete in L.A. and New York. If the building cost wasn’t enough sticker shock, it gets worse: The daily operating costs of rail systems in the U.S. exceed the amount earned.
Another metric that is used to estimate the true cost of rail construction is cost per rider. After the time and money is spent building a public rail system, it needs to be staffed and repaired, expenses which are difficult to match with revenue without a large number of riders. As cited by Alon Levy in an article Elon Musk tweeted recently, New York’s Second Avenue Subway will cost $25,000 per rider to complete 200,000 trips per day. In Los Angeles, the Purple Line will cost $45,000 per rider for 150,000 trips per day as will Boston’s Green Line Extension for 52,000 trips. Looking at rider fares, New York loses a bit less than $1 per ride taken and L.A. loses over $2 per ride.
So, how will The Boring Company “do” underground transportation system building better than the traditional, money-heavy methods? To put it simply: Be efficient.
Building a better mouse snail trap
They’ve designed their tunneling machines to bore faster and more efficiently. While the first generation machine is conventional and named Godot after the Samuel Backett play, Waiting for Godot due to the length of time it took to understand the machine’s functionality and assemble it, two other improved generations will be part of the Boring family.
The second generation machine, named “Line-Storm” after a Robert Frost love poem with the same phrase in its title that’s about overcoming hardships, is a conventional boring machine that has been highly modified. It uses a redesigned cutting head that takes in significantly more dirt and is 2 times faster than Godot.
The third generation machine, named “Prufrock”, will be a ground-up, fully designed TBC machine that’s 15 times better than the next best boring system, and that means 15 times faster than the next best machine out there, period.
Improved construction practices and project management
During construction, TBC reinforced tunnel segments as they were dug, those reinforcements being created on-site out of materials comprising 70% of the dirt dug and the remaining 30% primarily cement. This recycled material, as-you-go system enabled quick construction with cost efficiency, the demo tunnel taking 2 years almost to the day from Musk’s initial Tweet that inspired the undertaking.
Function-focused engineering
TBC’s tunnels are smaller than the typical underground rail system because they’re designed for specific types of vehicles that are smaller than traditional transports (autonomous electrics) and don’t require extra space for maintenance. This in itself reduces costs by 3-4 times.
Although The Boring Company has the advantage of being the new kid on the block whose founder has a unique background in shaking up traditional systems, there may still be a few hangups that will never quite go away. Anything involving the general public, especially public transit, will have serious bureaucracy involved. To achieve the company’s mile-long demo track feat, it had to face the extreme regulatory environment of Los Angeles. California overall has earthquakes, is a methane zone, and has oil and gas fields, all which add to a long list of rules to be followed for any construction projects to commence. “The amount of paperwork we had to go through to do this was enormous,” Musk said at TBC’s recent event.

Additionally, a lawsuit filed last year by the Brentwood Residents Coalition and the Sunset Coalition objecting to the company’s Sepulveda tunnel eventually led to their abandonment of that leg of the demonstration project. The coalitions primarily alleged that TBC was skirting environmental review requirements by “chopping large projects into smaller pieces that taken individually appear to have no significant environmental impacts”, citing a conceptual map the company released showing its planned Los Angeles tunnel system. Musk hasn’t let these hurdles damage his confidence, however. While speaking with press at TBC’s opening event, he added his own spin to the Broadway mantra (and Frank Sinatra hit, “New York, New York”) about “making it” there : “If you can build a tunnel in L.A., you can build it anywhere.”
As CEO of an innovative electric car company and a commercial rocket company set on sending humans to Mars, Musk is known as an industry disruptor. Even if the cost of boring tunnels for public transportation projects rises somewhat above the $10 million per mile price demonstrated with the LA/Hawthorne tunnel, it will be still be well under the typical costs in the boring industry. It’s obvious already that a potential disruption is underway. “We have people hounding us to invest nonstop…it’s kinda ridiculous how much interest we’ve had in investing in Boring Company,” Musk stated at the tunnel unveiling. Steve Davis, president of the company, added that they receive “greater than 5 and less than 20 requests per week from different municipalities and stakeholders.”
Also in the works for the tunneling newcomers: A transport line connecting downtown Chicago to Chicago O’Hare International Airport. The company won a contract to build a transport system for the city’s fliers in June 2017, and ground breaking is planned for sometime in the next few months. The Boring Company’s calendar still includes plans for an “urban loop system” as well, an underground network of pod-type buses for pedestrians and cyclists connecting numerous points throughout city centers.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.