Artificial intelligence is increasingly moving beyond screens and into everyday life, with new machines now capable of handling routine household chores once thought too complex for automation. One of the latest examples is Isaac, an AI-powered robotic system developed by Weave Robotics, designed to sort, fold, and stack laundry with remarkable speed and precision.

Isaac uses a combination of advanced cameras, sensors, and machine-learning software to identify different types of clothing, adjust its grip, and fold items neatly in approximately two minutes per piece. The system is already being deployed at a dry-cleaning facility in San Francisco, where it is streamlining operations and reducing labor-intensive bottlenecks.

According to operators, the efficiency gains could lower customer prices by as much as 30 percent, demonstrating how artificial intelligence can deliver direct cost savings while improving service speed. Unlike earlier automation attempts that struggled with irregular shapes like clothing, Isaac adapts in real time, handling a wide variety of fabrics and garments.

The development aligns with rapid growth in the household robotics sector. Industry research values the global household robotics market at $14.5 billion in 2025, with projections reaching $71 billion by 2034. This surge is being driven largely by breakthroughs in artificial intelligence that allow machines to perform mundane but complex tasks such as folding laundry, cleaning, and organizing.

Experts say these systems represent a shift toward practical, task-focused robotics rather than novelty devices. As AI continues to improve dexterity, visual recognition, and decision-making, robots like Isaac are expected to expand beyond commercial settings and into private homes, reshaping how everyday chores are managed.