Agentic AI represents more than just automation with a fancier name because it can make decisions, plan steps, and adapt to new situations without constant human guidance. Traditional automation follows fixed rules and performs repetitive tasks, while agentic AI can break down complex goals and determine how to achieve them. This allows it to handle multi-step workflows such as researching information, writing code, and interacting with external tools. The difference lies in flexibility and reasoning rather than simple execution. While it builds on automation, agentic AI is considered a significant leap due to its autonomy and ability to manage complex tasks.
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