AI and robotics experts warn that despite impressive robot demos, a single ChatGPT-style breakthrough will not drive robotics advances—instead, coordinated systems of specialized AI tools will be needed.

In 2025, total investments in robotics companies reached a record $40.7 billion, accounting for 9 percent of all venture funding.

Humanoid robots performing choreographed routines (like those at the Chinese 2026 Spring Festival Gala) use AI only for low-level motor control, not the high-level reasoning needed for general-purpose tasks in unstructured human environments such as homes and factories.

Training AI models for general-purpose robots requires collecting data across multiple conflicting dimensions—text, lighting, degrees of freedom, velocities, force, and safety boundaries—from an effectively infinite number of physical configurations; at Everyday Robots at Google X, 240 million robot instances were run in a simulator over the course of 2022 to collect training data for a single trash-sorting model.