Physical AI
AI systems that interact with and operate in physical 3D environments, typically through robotics and embodied agents. Leverages World Foundation Models trained in simulation to understand and manipulate real-world spaces.
Key Developments
- NVIDIA Cosmos 3: An “Omnimodal World Model” representing a significant leap in physical AI capabilities. See: NVIDIA Cosmos 3: Omnimodal World Model for Physical AI and Robotics
Industry Trends (IBM 2026)
According to IBM’s 2026 AI trend predictions:
- Multi-agent Orchestration: Team of agents (Planner, Worker, Critic) collaborating under an “Orchestrator” layer. Multi-agent Orchestration
- Digital Labor Workforce: Autonomous agents executing workflows with human-in-the-loop oversight. digital-labor-workforce
- Physical AI: Models interacting with 3D world (robotics) using “World Foundation Models” trained in simulation. World Foundation Models
See IBM’s full prediction: [IBM AI Trend Predictions](https://www.youtube.com/wa