What Is Agentic AI?
Agentic AI refers to AI systems designed to pursue goals through controlled sequences of reasoning, tool use, state management and actions rather than generating only a single response.
Agentic AI refers to autonomous systems designed to pursue goals through controlled sequences of reasoning, tool use, state management, and actions. Unlike standard chatbots that provide one-off responses, agentic systems can independently interact with their environment to complete complex, multi-step tasks.
While standard Generative AI predicts the next word in a sequence, Agentic AI decides the next move in a workflow.
What is Agentic AI?
Agentic AI refers to AI systems designed to pursue goals through controlled sequences of reasoning, tool use, state management and actions rather than generating only a single response. Unlike standard chatbots, agentic systems can independently interact with their environment to complete complex tasks.
How is Agentic AI different from Generative AI?
Generative AI is primarily a "content creator"—it produces text, code, or images based on a prompt. Agentic AI is an "orchestrator"—it uses those generative capabilities to reason, but then goes further by using tools and executing steps to achieve an operational goal without needing a human to prompt each individual action.
Key Components
- Planning: Breaking down complex goals into logical sub-tasks.
- Tool Use: Interacting with APIs, databases, or browsers to fetch data or perform actions.
- Memory/State: Keeping track of what has been accomplished in a multi-turn interaction.
Career Relevance
Engineers skilled in Agentic AI design the "logic layer" of modern business applications, transitioning companies from passive AI use to active business process automation.