Agentic AI refers to a type of that is capable of making decisions and taking actions on its own, without human intervention. This type of AI is designed to be autonomous, meaning it can operate independently and make decisions based on its programming and the data it has access to. Agentic AI is often used in situations where human decision-making may be too slow or impractical, such as in high-speed trading or autonomous vehicles. The term “agentic” comes from the field of psychology, where it refers to an individual’s ability to act on their own behalf and make their own decisions. In the context of AI, it refers to the system’s ability to act independently and make decisions without human input. This is a significant departure from traditional AI systems, which are typically designed to assist humans in decision-making rather than to make decisions on their own. Agentic AI systems are typically designed with a specific goal or set of goals in mind. These goals can be as simple as maximizing efficiency or as complex as navigating a self-driving car through city . The AI uses its programming and the data it has access to in order to make decisions that will help it achieve these goals. This can involve complex problem-solving and decision-making processes, often involving the use of machine learning and other advanced AI techniques. One of the key challenges in developing agentic AI is ensuring that the system’s decision-making processes are transparent and understandable to humans. This is important for both ethical and practical reasons. From an ethical perspective, it’s important that we understand how these systems are making decisions, especially when those decisions can have significant impacts on people’s lives. From a practical perspective, understanding how the AI is making decisions can help us to improve its performance and correct any errors or biases in its programming. In conclusion, agentic AI represents a significant advancement in the field of . By enabling AI systems to make decisions and take actions on their own, we can potentially automate a wide range of tasks and processes, increasing efficiency and productivity. However, the development of agentic AI also raises a number of ethical and practical challenges, which will need to be addressed as this technology continues to evolve.