Why Deploying Physical AI at Scale Demands Safety at Every Layer
TL;DR
Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […].
Nauti's Take
Before scaling, every small team should test the safe degraded mode: How does the system respond to sensor failure, ambiguous inputs, or a lost connection, and who can intervene? Reproducible tests, complete incident logs, and tightly bounded operating environments should be in place before autonomous workflows enter spaces shared with people.
Summary
Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]
Sources