Until recently, AI was a “brain in a box,” disconnected from the physical world. Physical AI is changing that by merging large-scale foundation models with robotics.
By using “End-to-End” learning, robots are no longer programmed with rigid lines of code. Instead, they “watch” thousands of hours of video and practice in digital twins to learn how to fold laundry, sort recycling, or perform surgery.
The breakthrough in 2026 is the General Purpose Robot Transformer. This allows a robot to take a skill learned in a kitchen and apply the same spatial logic to a factory floor. We are moving away from single-use machines toward robots that can learn any task they are shown.