Why Physical AI needs better hardware, not just better models

Artificial intelligence is moving fast. Large language models can write emails, summarize reports, and generate software code in seconds. But when AI leaves the digital world and enters the physical one, progress slows down dramatically.

Why?

Because interacting with the real world is much harder than processing text or images. Robots don’t just need intelligence; they need reliable ways to touch, grasp, push, and manipulate objects.

This is where physical AI enters the picture.

And it reveals an important truth: the future of robotics will depend as much on hardware design as it does on AI models.

By Jennifer Kwiatkowski on Mar 17, 2026 in Physical AI. 6 min read time