Why Physical AI isn't scaling yet, and what's holding it back

Physical AI is advancing quickly. AI models can now recognize objects, plan actions, and adapt to new tasks. But despite this progress, most systems still struggle to scale in real-world environments. Two core challenges explain why: Limited real-world dexterity High cost and complexity of deployment Until these are solved, Physical AI will remain difficult to scale beyond controlled applications.