This research explores the strategic shift in higher education from simple generative AI chatbots to agentic AI systems capable of executing complex, autonomous workflows. These advanced tools address critical institutional challenges, such as enrollment declines and fiscal constraints, by automating multi-step administrative and student support tasks. While this technology offers significant efficiency gains and personalized student experiences, the author emphasizes that success requires robust governance frameworks, data infrastructure, and staff development. The research further examines how the workforce must adapt, shifting from routine data processing to high-touch human-centric roles and strategic oversight. Ultimately, the research argues that integrating autonomous agents is becoming an operational necessity for institutional sustainability in a competitive academic market.
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