Look closely at any warehouse and you’re looking at a portrait of a human being. The shelves stop at a reachable height. The aisles are wide enough for a body plus a pallet truck. There are lights, because eyes need them, and heating, and a canteen, and the whole place runs in eight hour blocks because that’s how long a person can work.

The same is true of everything in the physical economy, and once you notice it you can’t stop. Ports are near cities because ports needed workers and workers needed to live somewhere. Roads are the width of vehicles that a person can control at a speed a person can react to. Shifts, holidays, weekends, and the fact that the world slows down in December are all features of biology showing up in logistics. Boxes are sized to be lifted. Instructions are written in language. None of this was designed as a system, it accreted, and every layer of it encodes the constraints of the animal doing the work.

Now take the animal out of a node and watch what that node stops needing. No lighting. No heating or cooling for comfort, only for equipment. No parking, no canteen, no toilets, no daylight, no eight hour rhythm. Shelving to the roof, aisles at machine width, twenty-four hour operation with no shift premium, no sick leave, and no December. The building can be a different shape and can be somewhere nobody would want to be, which turns out to be most places, because human-liveable land is a small and expensive subset of available land.

That’s the first order effect and it’s already visible in places. The second order effect is the one that interests me. Networks re-optimize around their cheapest paths, and once some nodes are human-free and others aren’t, the human-shaped nodes become the expensive exceptions. Everything routes toward the cheap ones. Not by anyone’s decision, in the way water finds a slope: a route that avoids a staffed facility is a route that avoids shift patterns, holidays, sickness, negotiation, error, and a whole category of cost. Over a decade of ordinary logistics optimization, done by people trying to hit quarterly targets, the map redraws itself around the absence of us.

Then the third order effect, which nobody in logistics is thinking about and which is the reason this post is in a series about power rather than in a trade journal. A route that doesn’t need to pass near people also doesn’t need to pass near their institutions. Human-shaped infrastructure is the physical substrate of a great deal of governance: inspections happen where inspectors can go, labor law applies where there is labor, tax is collected where there is a presence, and a strike is possible where there are people who can stop working. A supply chain that runs through unstaffed facilities in remote places, at machine speed, under contracts settled elsewhere, hasn’t evaded anything. It has simply optimized its way out of the neighborhood where the enforcement lives.

The counterargument is substantial and I’d weight it heavily. Physical automation is genuinely hard, far harder than the cognitive kind, and it has disappointed its backers for fifty years. Anything involving unpredictable objects, awkward spaces, or repairs done by feel is still much better performed by a person, and will be for a long time. What actually happens in most facilities is not replacement but a hybrid, with machines doing the structured work and humans doing the exceptions, and hybrids are stable arrangements that can last decades. The dark warehouse is a real thing in a small number of narrow cases, not a wave.

What I’d hold anyway is the direction and the mechanism. Every year the exceptions get fewer, and the network keeps optimizing, and neither of those requires a breakthrough. It just requires the same quarterly pressure that’s been running since the first container ship, applied to a world where one of the constraints is quietly being lifted.

Tonight’s exercise. Take one ordinary object near you and work out the last point in its journey where a human hand touched it, and then the last point where a human decided something about it. For most things bought online the answers are already surprisingly close to your own front door, and the second answer is usually much further back than the first. Then ask what would need to change for both answers to move back another step, and notice how much of your list is a cost, not a capability.