Agentic Artificial Intelligence
PAS QuickNotes 116
By Ievgeniia Dulko
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 currently a foresight manager at the American Planning Association, where she focuses on developing the annual Trend Report for Planners and on applying strategic foresight in the planning profession. Zhenia holds a master’s degree in city/urban community and regional planning from the University of Illinois Chicago and a BA and MA in political science from Petro Mohyla Black Sea State University.

