These slides trace the evolution from AI that responds to AI that acts. Foundation models brought knowledge, multimodal AI brought perception, and agentic AI adds the missing piece – intent. It transforms a sequence of prompts and answers into a loop of goals, plans, actions, and adjustments.

Each slide builds toward one key distinction: agentic AI is about controlled autonomy – the shift from assistant to operator. And it's control, safety, and accountability that determine whether that autonomy stays productive.

For a full definition and breakdown of how agentic AI works, check our glossary article on agentic AI.