Four stages describe the shift. They overlap, and most businesses use more than one at the same time.
- Generative AI
Creates text, images, analysis, summaries and prototypes. It improves knowledge work, but often stops at recommendation or output.
- Agentic AI
Plans, calls tools, uses systems and completes governed multi-step tasks. It turns AI from an assistant into an operating workflow participant.
- Physical AI
Connects AI models to sensors, robots, machines and physical work environments so AI can help inspect, move, handle, guide or coordinate real work.
- Human + AI work
People remain responsible for judgement, safety, exception handling and improvement while AI systems reduce repetitive coordination and execution load.
What this means for a business
There is no need to move through these stages in order, or all at once. The practical question is which work could move one step along, and what controls that step needs: who approves, what is recorded and how errors are caught.
At every stage, people stay responsible for the result. Good AI work takes away repetitive load so that attention goes where judgement is needed.
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