Key Differences: AI Agent vs. Agentic AI
| Feature | AI Agent | Agentic AI |
| Autonomy | Limited to predefined tasks | High — can set and pursue own goals |
| Goal Definition | Goals are externally defined | Can define or redefine its own goals |
| Planning Horizon | Short-term, reactive | Long-term, strategic planning |
| Learning Capability | Basic or task-specific | Continuous, adaptive, multi-domain |
| Environment Interaction | Often limited, rule-based | Complex, dynamic modelling of environment |
| Self-Improvement | Minimal | Built-in self-optimization capabilities |
| Examples | Siri, Alexa, Spam Filters | Auto-GPT, Devin AI, Self-driving fleets |
Use Cases and Applications
AI Agent Use Cases:
- Virtual Assistants (e.g., Apple Siri, Google Assistant)
- Fraud Detection in banking
- Recommender Systems in e-commerce
- Autonomous Drones for surveillance
Agentic AI Use Cases:
- Autonomous Research Agents (e.g., Auto-GPT)
- Software Engineers (e.g., Devin by Cognition Labs)
- Intelligent Tutoring Systems that evolve based on learner performance
- Mission Planning Systems for space or military operations
