Sanjit Biswas explains that physical AI applies artificial intelligence to the physical world, which is largely analog and unstructured, making it harder than software AI but representing 40-50% of global GDP. Samsara's stack includes hardware sensors, cloud intelligence, and agentic action, with products like asset trackers, vehicle gateways, and AI dash cams that provide real-time coaching. The company's moat lies in its proprietary operational data and network effects, covering 99% of US roads. Samsara uses a mix of edge and cloud AI models, including CNNs and generative AI for video reasoning. Agent Studio introduces agents like a warranty agent that reduces hours of work to under a minute. While AI agents have limitations, Samsara starts with low-risk automation and combines agents with workflow guardrails. The discussion also covers the societal implications of workplace AI, emphasizing transparency and exoneration benefits. Looking ahead, Biswas predicts a future of mixed human-robot fleets, with autonomous trucking taking 10-20 years due to complexity. Finally, he highlights the infrastructure boom driven by data centers, creating demand for tradespeople and modernizing these jobs with AI.