Source: Ars Technica
This is a straightforward arbitrage play: a company captures high-value labor (professional cleaners) at zero marginal cost by making customers the product—their homes become datasets for training cleaning robots. The model works only if the robot economics eventually close the gap between current labor costs and automated cleaning, a threshold that remains distant despite years of promise in robotics. The explicit consumer-facing trade—free service in exchange for surveillance and training your replacement—normalizes data extraction as a utility payment in ways that conventional SaaS or ad-supported models don't.