Universities Urged to Adopt 'Agentic AI'
Commentary from the University of Queensland urges higher education institutions to move beyond simple chatbots and adopt frameworks for "agentic AI." These advanced systems are defined by their ability to act, learn, and personalize support for users over time, representing the next step in AI integration for learning environments.
- The push for agentic AI is championed by figures like Professor Jason Lodge from the University of Queensland, who argues that as AI becomes more autonomous, a clear framework is needed to ensure equity, transparency, and workforce readiness. He is a lead author of "The Australian Framework for Artificial Intelligence in Higher Education," which emphasizes maintaining human-centered learning and research integrity. - Unlike chatbots that provide reactive answers, agentic AI systems are designed to be proactive, goal-oriented, and can operate across multiple university systems like the LMS and SIS to perform multi-step tasks without constant human input. For example, an agent could identify an at-risk student from their LMS activity, create a review plan, and schedule a tutoring session. - Student adoption of AI is widespread, with a 2025 global survey showing 86% of students use AI in their studies. However, a significant preparedness gap exists, as 58% of students report not having sufficient AI knowledge and skills for the workplace. - For public colleges facing the April 24, 2026, Department of Justice Title II compliance deadline, agentic AI presents a potential tool for managing digital accessibility at scale. These new regulations mandate that all digital content, including websites and course materials, must conform to the Web Content Accessibility Guidelines (WCAG) 2.1 Level AA. - Agentic AI can be specifically applied to accessibility compliance by autonomously performing tasks like WCAG 2.2 scans to identify issues, prioritizing them for remediation, and even generating code-level fixes for developers. This shifts accessibility from a reactive auditing process to a proactive, continuous workflow. - Early adopters are already demonstrating the impact of this technology. For instance, Georgia Southern University and Columbus State University are using AI agents to scale student services and provide dynamic, personalized support. On a larger scale, Northeastern University has partnered with the AI firm Anthropic to provide the AI assistant Claude to all students and staff. - The future application of agentic AI in universities extends to automating complex administrative workflows in admissions, financial aid, and human resources. For example, an agent could manage the entire student admissions process, from validating documents to sending real-time status updates, while logging all actions for compliance audits.
