Agentic AI is like a smart robot that can think, decide, and act on its own to achieve goals, similar to how a person might solve problems without being told every step. It’s different from traditional AI , which is like a robot that only follows strict instructions (like a recipe) and can’t change unless someone updates its rules
- Autonomy (Independence):
- Agentic AI: Makes its own choices and fixes mistakes without help.
- Traditional AI: Follows fixed rules and needs humans to update it.
- Adaptability (Learning):
- Agentic AI: Learns from new situations (like a student improving over time).
- Traditional AI: Stays the same unless reprogrammed.
- Decisions:
- Agentic AI: Acts like a person—thinks about options and picks the best one.
- Traditional AI: Acts like a calculator—does exactly what it’s told, no thinking.
- Tasks:
- Agentic AI: Handles complex, changing tasks (e.g., managing a robot navigating a maze).
- Traditional AI: Does simple, repetitive tasks (e.g., sorting emails into folders).
Example 1: Shopping Assistant
- Traditional AI: A website’s recommendation system suggests products based on your past purchases (e.g., “You bought a phone, so here are phone cases”). It only reacts to your actions.
- Agentic AI: A shopping AI notices you often buy gifts before holidays, so it proactively suggests gift ideas, compares prices across stores, and even places the order for you after confirming your budget—all without you asking.
Example 2: Driving Support
- Traditional AI: A car’s lane-keeping system beeps to alert you if you drift out of your lane. It only reacts to what’s happening and needs you to take action.
- Agentic AI: A self-driving car plans the entire route, adjusts speed for traffic, avoids obstacles, and even finds a parking spot on its own. It acts independently to get you to your destination safely.
