FT: Robotics and Physical AI Labs Raise ~$48B YTD on Data Hunt

Robotics and physical-AI companies have raised close to $48 billion year-to-date in 2026, according to PitchBook data cited by the Financial Times, with a growing share of that capital flowing into the one input the sector still lacks: real-world video of human beings doing ordinary work.

The FT reports that labs including Physical Intelligence, Skild AI, NEURA Robotics and Generalist are mixing outside data vendors with internal data operations to feed their models. Teams are gathering footage inside "robot gyms" where workers use robotic arms to perform tasks, and sending recording equipment into homes, offices and factories to film people doing everyday work. The stated aim is capturing movement, contact and force in settings that robots will eventually have to handle themselves.

Unlike text and images, workaday manipulation footage has never been scraped off the open web; it has to be commissioned and labeled frame by frame. NEURA, which has called high-quality real-world training data "Physical AI's scarcest resource," is building a network of NEURA Gyms with partners including RWTH Aachen University and the Technical University of Munich, with five locations across Europe, the United States and China slated to be operational by the end of 2026.

The funding wave extends a buildout our robotics tracker has logged all year. The FT's framing is that the data gap, not the hardware or the model, is now the sector's binding constraint.