Generative AI is evolving from chatbots to agentic systems—autonomous digital coworkers that execute complex workflows. These agents use natural language, adapt to unpredictable inputs, and work across tools, making automation more flexible and accessible. Use cases include loan underwriting, code modernization, and marketing. While powerful, agentic AI poses risks like error cascades, misuse, and overtrust. To prepare, businesses must codify processes, ensure human oversight, and align agents with values. Though early-stage, agents promise major productivity gains across industries.

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