Agentic Artificial Intelligence
PAS QuickNotes 116
By Ievgeniia Dulko
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AI is rapidly evolving beyond analytical and predictive tools toward generative models and now agentic AI: autonomous systems capable of acting independently to initiate tasks, coordinate across systems, and adapt to changing conditions with limited human input. For example, an AI agent can search the web, call application programming interfaces (APIs), and query databases, then use this information to make decisions and take action.
This edition of PAS QuickNotes explains what agentic AI is, how it works, where agentic AI workflows are already appearing in three main areas of planning practice, and what planners will need to consider as the use of these models becomes more widespread.
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About the Author
Ievgeniia Dulko
Zhenia Dulko is a planner, researcher, and educator with over eight years of experience in planning and urban management. She serves as a foresight manager at the American Planning Association, where she contributes to the APA Foresight Program and the Trend Report for Planners creation.