Both OODA and PDCA are used in autonomous AI decision-making. OODA is used to make decisions in dynamic environments, while PDCA is used to make decisions in stable environments. In autonomous AI decision-making, the OODA model is used to observe the environment, orient the AI system to the situation, decide on a course of action, and act on the decision.