SEAR

A housewife in India earns 250 rupees an hour about $3 just for folding laundry at home. And with that exact work she is training the robots that will one day fold that laundry instead of her. On her head is a camera on a strap. On the clothes and around them sit black-and-white markers that let the system understand where an object is and how the hands move. She does ordinary household chores, and the camera records everything in first person: what she sees, how she picks up the fabric, in what order she folds it. Under recording everything goes slower. What takes 30 minutes at home stretches to 35 to 40 minutes on camera. All it takes is patience. And she is not the only one: thousands of people across India are already doing this, putting on a camera and filming their ordinary day so there is something to train tomorrow's robots on. Her line hits harder than any chart: "Who else will give you 250 rupees an hour just for doing housework?" And here is the surprise. The housework that nobody at home ever pays for, the data industry buys by the hour. What was invisible for centuries has suddenly become raw material. Because robots and AI do not come out of thin air. For a machine to one day fold a t-shirt on its own, a human first has to fold it on camera: by hand, movement by movement, step by step. The woman herself says it plainly: "I see a future full of robots and AI. But there is no going on without people: without human data, all this robotics simply will not run." Out of everything I have seen this year about automation, this is the most honest shot of all: before it can replace a person, the machine first has to be led by that very person's hand. The future really will belong to robots. But right now it is being assembled by hand, at 250 rupees an hour.