‘Agentic AI’ – the AI that can act as commanded.
While comparing with generative AI and predictive AI, Agentic AI can talk, write, and complete tasks on its own with minimal human intervention.
It uses reasoning, memory, and external tools to perform real tasks, not just describe them. We can think of it as an AI that not only writes an email but also sends it, tracks replies, and schedules a follow-up meeting, all by itself.
Agentic AI blends the creativity of Generative AI with the logic of Predictive AI. It plans, decides, and executes goals without constant human input.
Agentic AI examples are:
- AutoGPT and Devin can manage multi-step projects.
- ChatGPT with Actions that can browse, fetch data, or run workflows.
- Perplexity browser is one of the agentic AI browsers that understands your intent, interacts with the web, and autonomously handles tasks.
- AI agents in customer support that resolve tickets or process refunds automatically.
History of Agentic AI:
While the concept of intelligent agents began in the 1950s and 60s, Agentic AI as we know it rose between 2023 and 2025. By 2024, the term became mainstream, and by 2025, major platforms like Amazon Bedrock Agents and Anthropic’s Model Context Protocol turned agentic systems into real-world tools for automation and enterprise workflows.