A critical development in artificial intelligence is agentic AI, and these tools are becoming a part of everyday life faster than we realize. Unlike traditional AI models that follow predefined rules, agentic AI systems can make decisions, perform actions, and adapt to situations based on their programming and the data they process, often without human input.
In comparison, traditional AI models are unable to adapt to unexpected changes without a form of retraining, testing and validation, which requires human intervention. A traditional AI model will typically be built to fulfil a specific role, such as a classification task where it will identify if a person is likely to default on a loan payment or not.
