{
  "id": 8955412,
  "title": "Why Deploying Physical AI at Scale Demands Safety at Every Layer",
  "url": "https://urgent.news/2026/09/21/why-deploying-physical-ai-at-scale-demands-safety-at-every-layer",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-21T16:00:46.000Z",
  "source": {
    "name": "NVIDIA Blog",
    "slug": "nvidia-blog",
    "url": "https://blogs.nvidia.com/blog/physical-ai-halos-safety/"
  },
  "original_language": "en",
  "account": "As physical AI moves from lab to widespread use, ensuring safety at every level becomes crucial. By 2035, there will be an estimated 49 million level 3-5 autonomous vehicles and 60 million industrial robots operating alongside people in various environments. The safety of AI-driven machines, whether autonomous vehicles or industrial robots, must be demonstrated consistently throughout their lifecycle, not just before deployment. This demand for comprehensive safety stems from the complex hardware, software, AI systems, operating environments and deployment processes involved in physical AI.",
  "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, […]",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}