The terms AI agents and agentic AI are related but differ in nuance and scope. Here’s a clear comparison:
AI Agents
Definition:
AI agents are systems or programs that perceive their environment and take actions to achieve specific goals, often autonomously.
Examples:
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A ServiceNow virtual agent answering support queries.
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A robot vacuum navigating a room.
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A UiPath bot processing invoices.
Key Traits:
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Goal-oriented
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Reactive or proactive
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Often task-specific
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May or may not use advanced reasoning or planning
Agentic AI
Definition:
Agentic AI refers to AI systems that act with a high degree of autonomy, decision-making, and long-term goal pursuit, often mimicking human-like agency. It’s a broader concept that includes advanced AI agents with:
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Strategic planning
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Goal formulation
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Tool use
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Multi-step reasoning
Examples:
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AutoGPT / Devin / OpenAI’s Superalignment agents
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AI that autonomously writes code, tests it, deploys it, and monitors outcomes
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AI that reasons over multiple days to complete a complex business process
Key Traits:
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High autonomy
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Can plan over time
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Capable of self-reflection or adapting goals
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Often general-purpose or multi-domain
Summary Table:
|
Feature |
AI Agents |
Agentic AI |
|---|---|---|
|
Scope |
Task-focused |
Broad, strategic |
|
Autonomy |
Limited to medium |
High |
|
Planning |
Often reactive or short-term |
Long-term, multi-step |
|
Tool Use |
Usually predefined |
Can select and chain tools dynamically |
|
Goal Adaptability |
Fixed goals |
Can create/subdivide/refine goals |
|
Intelligence |
Narrow AI |
Toward general/strong AI |
In short:
All agentic AIs are AI agents, but not all AI agents are agentic AIs.
Let me know if you’d like examples specific to a domain like enterprise automation, customer service, or DevOps.
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