Mallory sits down with Tina Miller, Executive Director of Creative and Communications at Enterprise Technology at Arizona State University (ASU). Recorded live at AMA in Las Vegas, the conversation delves into the transformative role of AI in higher education, exploring how leaders can adopt and integrate AI to drive institutional success. Tina shares insights into ASU’s innovative approach, including their AI Innovation Challenge, and offers actionable advice for leaders ready to embrace this game-changing technology.

Key Takeaways

• Leaders must prioritize AI literacy: Understanding and leveraging AI starts with a commitment to learning and experimenting with its potential.
• AI adoption needs leadership buy-in: Institutions without clear guidelines or leadership support risk missing AI’s transformative opportunities.
• AI can address resource constraints: Properly implemented, AI has the potential to reduce costs, increase enrollment, and enhance efficiency.
• ASU’s AI framework is a model: The university focuses its AI initiatives on three key areas: teaching and learning success, research for societal impact, and the future of work.
• Experimentation is key: The early days of AI adoption are ideal for leaders and institutions to explore its possibilities and set the foundation for future advancements.

Why Leaders Must Take the First Step in AI Adoption 
Tina highlights the importance of leadership in AI adoption, explaining that many leaders wait for institutional directives before integrating AI into their teams. However, she emphasizes the urgency for leaders to take the initiative. Literacy is the first step—understanding what AI is and how it can be used. Tina shares her personal journey of becoming AI-literate through podcasts, newsletters, and networking, showcasing how small, consistent efforts can yield significant knowledge gains.

AI literacy transitions to fluency when leaders not only understand the tools but can actively implement them to streamline processes, improve collaboration, and educate students. Tina underscores that AI adoption is not optional; institutions and leaders who fail to embrace it risk falling behind in the rapidly evolving higher education landscape.

Overcoming Barriers to AI Integration in Higher Ed 
A common barrier to AI adoption is time—or the perceived lack of it. Leaders often feel stretched thin, managing numerous priorities. Tina’s advice? Prioritize AI because the long-term benefits outweigh the short-term time investment. She suggests accessible ways to learn about AI, such as tuning into relevant podcasts (e.g., Marketing AI and Enrollify) and engaging with professional networks. Tina also points out that institutions like ASU have successfully embedded AI by aligning it with clear priorities, like student success and research impact.

Mallory and Tina also discuss the real-world impact of AI in higher education. From increasing enrollment rates to slashing application costs, the early adopters are already reaping measurable benefits. These success stories provide a blueprint for institutions hesitant to embrace AI.

ASU’s AI Innovation Challenge: A Case Study 
ASU’s proactive approach to AI is a standout example. Guided by three focus areas—teaching and learning success, research for societal impact, and the future of work—the university integrates AI purposefully rather than haphazardly. Tina shares details about the AI Innovation Challenge, which empowers faculty, staff, and researchers to develop projects leveraging AI. With over 250 projects currently in progress, ASU demonstrates the power of prioritizing and resourcing AI initiatives.

Tina emphasizes that ASU’s success stems from a top-down commitment to innovation, with President Michael Crow leading the charge. This leadership provides a roadmap for other institutions to follow: identify strategic goals, align AI initiatives with these objectives, and create structures to support experimentation and adoption.

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