Opinions | Fashion Law Journal https://fashionlawjournal.com/category/opinions/ Fashion Law and Industry Insights Thu, 03 Sep 2026 05:30:26 +0000 en-US hourly 1 https://wordpress.org/?v=7.1 https://fashionlawjournal.com/wp-content/uploads/2022/03/cropped-fashion-law-32x32.png Opinions | Fashion Law Journal https://fashionlawjournal.com/category/opinions/ 32 32 Why Robots Still Can’t Sew Your Clothes https://fashionlawjournal.com/why-robots-still-cant-sew-your-clothes/ Thu, 03 Sep 2026 05:30:26 +0000 https://fashionlawjournal.com/?p=12807 Machines are excellent with rigid things and hopeless with floppy ones. A factory can build a car body untouched by human hands and still cannot attach a sleeve.  There is a fact about the shirt you are wearing that almost nobody knows, and once you know it you will not be able to stop testing it on people at parties. A human being sewed it. Not just supervised a machine that sewed it. Sewed it, with hands, guiding cloth under a needle, making hundreds of small corrections per garment that nobody has ever successfully written down. This is true of

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Machines are excellent with rigid things and hopeless with floppy ones. A factory can build a car body untouched by human hands and still cannot attach a sleeve. 

There is a fact about the shirt you are wearing that almost nobody knows, and once you know it you will not be able to stop testing it on people at parties.

A human being sewed it. Not just supervised a machine that sewed it. Sewed it, with hands, guiding cloth under a needle, making hundreds of small corrections per garment that nobody has ever successfully written down. This is true of the shirt, the jacket, the jeans, the four hundred dollar dress and the four dollar one. It is true of essentially every stitched garment in your wardrobe and in everyone else’s, which is a strange thing to say about the year 2026, when a car can be assembled almost untouched and a warehouse can run in the dark.

We automated the loom in 1785 and rioted about it. We have not automated the seam.

I have been thinking about this since someone told me, correctly, that machines already handle nearly every other stage of making clothes. Textiles are printed by machine. Fabric is spread and cut by machine. Garments are folded, tagged, packed and shipped by machine. The process is mechanised at both ends and human in the middle, like a very expensive sandwich.

The reason is almost embarrassingly physical. Robots are magnificent with rigid things. A car door has one shape and holds it. Fabric has no shape at all until something holds it, and then it takes on a different shape depending on what’s holding it, how fast, in which direction, and whether the material is a stable poplin or a knit jersey that stretches when you look at it. Textiles bunch and stretch as they are worked with, which is a mild way of describing a material that behaves less like a component and more like a small animal.

Human hands solve this without any conscious thought whatsoever. A machinist keeps the fabric organised as it feeds, adjusting tension continuously, and could not tell you how because there is nothing to tell. It is the same category of knowledge as walking downstairs.

The four minutes that never arrived

Which brings me to Little Rock, and to the most confident industrial promise of the last decade.

In 2012, a Georgia Tech spin-off called SoftWear Automation set out to solve exactly this, with help from the university’s technology development centre and a contract with DARPA, which is a sentence that tells you how hard the problem was considered. Their machines, trademarked Sewbots, took the autonomous-vehicle approach: cameras and sensors watched the fabric constantly, recognising distortion and correcting the material in real time as it travelled through the sew head, imitating what a seamstress does without noticing.

In 2017 the company partnered with Tianyuan Garments, one of China’s largest manufacturers, to build a fully automated T-shirt line in Arkansas. The numbers announced were spectacular. Twenty-one production lines. One T-shirt every twenty-two seconds. Twenty-three million shirts a year, destined for Adidas. Roughly four minutes from fabric to finished garment, and a personnel cost of about thirty-three cents per shirt.

Li & Fung, the supply chain giant, signed on. The trade press wrote the obituary of the garment worker. It looked, briefly, entirely settled.

Then nothing happened.

The company’s chief executive, Palaniswamy Rajan, later put it plainly: they ran into technology challenges working with knitted fabrics. His description of the problem is the best sentence in this entire story, because it inverts everything you would assume. A T-shirt, he said, is a simple garment, but a complex fabric.

That is the whole difficulty in eight words. We built machines to handle complex objects made of simple materials. Clothing is the reverse.

The starch problem, or, how to cheat

There is another approach, and it is so charmingly lateral that it deserves more attention than it gets.

A Seattle outfit called Sewbo, founded in 2014 by Jonathan Zornow, decided not to build a robot clever enough to handle limp cloth. Instead, it temporarily stiffens the cloth using a water-soluble thermoplastic, so ordinary off-the-shelf industrial robots can assemble a garment as though they were working with sheet metal. The panels can be moulded and welded and stitched while rigid, and then the stiffener is simply washed out at the end.

It is a beautiful piece of thinking, and it is also not new. Early attempts at automating sewing treated cloth with starch for exactly the same reason, decades ago, and never became commercially viable.

Which is the part of this story that finally made me put my coffee down.

Nobody solved it because nobody had to

The reason automated sewing has failed is only partly technical. The other reason, and I suspect the larger one, is that the industry never needed it badly enough to pay for it.

Apparel runs on margins thin enough to be translucent, with brutal delivery timelines and relentless price pressure, which pushes manufacturers toward the cheapest available labour rather than toward capital investment in unproven machines. Automation is an expensive answer to a question that a wage in Dhaka or Phnom Penh has already answered more cheaply. The clothing industry resisted automation for decades precisely because it could rely on inexpensive labour in developing countries, and a technology only gets solved when somebody is desperate enough to fund the solution.

So the seam survives not because it is sacred but because it is cheap.

This is worth sitting with, because it reframes the sentimental version of this story. The persistence of hand sewing is not proof that the craft is irreplaceable. It is proof that human beings remain, in this one industry, cheaper than the machine that would replace them. That is a different and much colder fact, and it is the one that actually explains your wardrobe.

There are roughly nine million sewers in the ASEAN region alone, and the people who study this worry openly about what happens if that changes quickly rather than slowly. Cambodia and Bangladesh have built substantial portions of their economies on a task that exists in its current form partly because a robot cannot yet do it, and partly because nobody has been sufficiently motivated to make one that can.

The likelier future

If I had to bet, and this is interpretation rather than fact, I do not think the answer arrives as a robot that finally learns to sew. I think it arrives sideways, as garments engineered to need less sewing in the first place. Knitted whole rather than assembled. Bonded rather than stitched. The problem is solved by removing the seam instead of by automating it, which is how most impossible engineering problems eventually get solved.

Until then, the situation stands, and it is genuinely lovely in its way.

Every garment you own passed through somebody’s hands. The most sophisticated supply chain humanity has ever built, moving cotton across four continents and delivering it to your door in two days, still contains, at its exact centre, a person at a machine doing something no computer has managed to learn.

The most advanced object in your wardrobe is the one that had to be touched.

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