00:00Most people already use Generative AI.
00:02It helps write emails, generate code,
00:04and create content in seconds.
00:06You give it a prompt, and it gives you an answer.
00:09Simple, fast, and useful, but there's a limit.
00:12It stops at the output.
00:13That's where Agentic AI changes things.
00:16The difference between Agentic AI versus Generative AI
00:19is not just technical,
00:21it's about how work actually gets done.
00:23Generative AI is reactive.
00:25You ask, it responds, then it waits again.
00:28Agentic AI is goal-driven.
00:31You define what needs to be done,
00:32and it figures out the steps.
00:34It can plan tasks, use tools,
00:35and continue working until the goal is complete.
00:38Think of it this way.
00:39Generative AI helps you create.
00:41Agentic AI helps you complete.
00:43For example, a generative tool can draft a follow-up email,
00:46but someone still has to send it,
00:48track responses, and update records.
00:50An agentic system can handle the full flow.
00:52It identifies when to follow up, gathers data,
00:55sends the email, and updates the system automatically.
00:57That's a big shift.
00:58In many businesses, delays don't happen because of lack of ideas.
01:02They happen between steps, waiting, handoffs, and decisions.
01:07Agentic AI reduces that gap.
01:09It keeps work moving.
01:10So it's not about choosing one over the other.
01:13The real value comes when both work together.
01:16Creation and execution in one continuous flow.
01:20Where are you?
01:20Go. Go.
01:20Well.
Comments