Musk Wiki

The Boring Company

NextxAI and Grok

Most people treat urban traffic as a fact of life. Musk treats it as a solvable engineering problem, and his tunneling venture is the clearest look at how his mind takes apart something everyone else has given up on. What’s worth watching here isn’t the tunnels. It’s the reasoning: a gut statement of why traffic is unbearable, a first-principles argument that the problem can be solved to any degree you like, and a breakdown of why the usual fix costs so much. The fullest account comes from the 2017 TED conversation, the first detailed public reveal of the tunnel design and the vision behind it. Musk had named the company a few months earlier, in late 2016.

Traffic as a human cost, not an engineering puzzle

He doesn’t pitch the venture on technical grounds. He pitches it on a feeling. Traffic isn’t an inconvenience to be optimized away; it’s something that takes hours out of being alive:

“So right now, one of the most soul-destroying things is traffic.” ↗

“It takes away so much of your life.” ↗

It’s the move he makes everywhere. As with the energy and Mars missions, he states the problem at the scale of a human life, not the scale of the product.

The 3D-tunnel thesis — solvable to any degree

His key move is to recast congestion as a problem with no ceiling on the fix. The standard objection is that any new road or tunnel just fills up again. It fails, he says, because you can keep stacking layers downward without limit:

“you can alleviate any arbitrary level of urban congestion with a 3D tunnel network.” ↗

The physical fact behind the claim is that depth is far more available than height:

“The deepest mines are much deeper than the tallest buildings are tall, so you can alleviate any arbitrary level of urban congestion with a 3D tunnel network.” ↗

This is the same first-principles habit that shows up across his work. He doesn’t ask “how do we manage traffic?” He asks “what physically bounds the solution?”, and the answer turns out to be the depth of the Earth’s crust, which is to say no practical bound at all. Asked why not flying cars instead, he doesn’t reach for feasibility. He reasons from the second-order effects: the noise, the wind force, the low-grade dread of heavy objects passing overhead. He’s “in favor of flying things,” he notes, since he builds rockets for a living.

Why tunneling is expensive — and the tenfold target

This is where the talk gets analytical: he takes the cost apart, piece by piece. Conventional tunneling runs about $1 billion per mile, he notes, citing the LA subway extension. The whole premise of the venture is that you can cut that by a factor of ten. He puts the target in plain numbers:

“I think we need to have at least a tenfold improvement in the cost per mile of tunneling.” ↗

Then he breaks the cost into physical levers. The biggest one is geometric. Halve the tunnel diameter and you quarter the cross-sectional area, and cost tracks that area. You can halve the diameter because a single electric “skate” needs far less clearance than a combustion car, which drags along crash and ventilation margins:

“you drop the diameter by a factor of two and the cross-sectional area by a factor of four, and the tunneling cost scales with the cross-sectional area.” ↗

The other levers, in his telling: have the machine bore and reinforce the wall continuously instead of alternating stop-and-go, worth another factor of two, and run the machines well under their power and thermal limits so you can crank the power up. Multiply the factors together and you clear an order of magnitude. This is First principles reasoning at its most literal. He rebuilds a received cost from the physical drivers underneath it instead of taking the number as fixed.

The earliest dated statement — tunnels under cities (World Government Summit 2017)

He’d said it two months before TED. Teased at the February 2017 World Government Summit about “building a tunnel under Washington D.C.,” Musk gives the same 3D-tunnel argument in compressed form:

“the solution to urban congestion is a network of tunnels under cities.” ↗

“I mean tunnels that go many levels deep.” ↗

The physical fact behind the unbounded-solution claim, the same one TED would state more fully:

“Like, the deepest mines are deeper than the tallest buildings.” ↗

This is the TED2017 “deepest mines are much deeper than the tallest buildings are tall … alleviate any arbitrary level of urban congestion” thesis in seed form. Because depth runs effectively without limit (“20, 30, 40, 50 levels,” paraphrased), congestion has no upper bound on the solution, and the real challenge becomes building those tunnels “fast, cheap and safe” (also paraphrased across several cues). The same first-principles move is already here in early 2017: ask what physically bounds the solution, not how to manage the problem.

The tie to autonomy

In the talk the Boring Company isn’t a standalone idea. Musk ties it to autonomy with a counter-intuitive claim: self-driving cars will make surface traffic worse, not better. Cheap shared autonomy undercuts the bus on cost, so it pulls far more trips onto the road. Tunnels, then, are the answer to a congestion problem that autonomy is about to make worse. More on that argument in Autonomous driving.

The genesis on Twitter (tweets, 2015-2016)

The whole thing surfaces on Twitter first, two years before the Summit. The 2015-2017 tweets are its public genesis. In March 2015 he lays out the tunnels-versus-flying-cars logic that seeds the idea: “Reasons I like tunnels: you still travel in 3D fast, but immune to weather, quiet and no risk cars fall on your head”. Traffic, in the same breath, becomes a problem of dimensions: “having 2D streets and 3D buildings means bad traffic forever.” Then, in December 2016, the famously impulsive founding tweet, a solution to a personal frustration: “Traffic is driving me nuts. Am going to build a tunnel boring machine and just start digging…”