This conversation explores the integration of AI in higher education, focusing on its potential benefits, the challenges of change management, and the evolving relationship between students and AI tools. Peter Shea shares insights on how community colleges can adapt to these changes and prepare students for a future shaped by AI.

Takeaways

• AI's potential in education
• Navigating change management

Chapters

• 00:00 Introduction to AI in Education
• 01:10 Understanding AI Integration Roles
• 02:12 Addressing AI Anxiety in Higher Education
• 04:33 Public Perception and AI's Potential
• 06:15 AI as a Tool for Learning Enhancement
• 12:20 Building Educational Experiences at Scale
• 15:22 The Role of Change Management
• 18:02 AI's Impact on Writing and Feedback
• 21:28 Reassessing Homework and Assessment Methods
• 24:02 Innovative Practices in AI Education
• 25:54 Middlesex's AI Initiatives and Progress
• 28:01 Learning from Other Institutions
• 30:35 Addressing Wicked Problems with AI
• 31:55 The Emerging AI Divide
• 35:24 The Future of AI Agents in Education
• 36:25 Bridging Academic and Workforce Learning
• 40:13 Communicating Change Effectively
• 44:10 Final Insights and Advice

The conversation explores the current state of AI in higher education and the challenges and opportunities it presents. It delves into the mission of the Center for AI Learning and Community Engaged Innovation, successful initiatives in building AI literacy, the evolution of AI literacy, and the impact of AI on higher education. It also discusses the role of AI in student work, the challenges of AI readiness, and the AI ecosystem in higher education. The conversation delves into the complexities of AI in higher education, emphasizing the need for a multidisciplinary approach and the challenges of fragmented efforts and silos within institutions. It also explores the potential impact of AI on student experiences and the importance of using AI for public good.

Takeaways

• AI literacy initiatives in higher education are essential for preparing students and faculty for the future.
• The relevance, participation, and trust in the AI ecosystem are critical factors in the successful integration of AI in higher education. Multidisciplinary Approach
• Fragmented Efforts and Silos
• AI Impact on Student Experiences
• AI for Public Good

Chapters

• 00:00 The Mission of the Center for AI Learning and Community Engaged Innovation
• 03:25 Building AI Literacy Among Faculty and Students
• 07:02 The Evolution of AI Literacy and Readiness
• 09:48 Challenges of AI Integration in Higher Education
• 23:04 The AI Ecosystem in Higher Education
• 28:26 The Complexity of AI in Higher Education
• 29:21 Fragmented Efforts and Silos in Institutions
• 30:13 AI Impact on Student Experiences
• 36:09 Using AI for Public Good
• 45:34 The Future of Education in 2030

In this episode of Infinite Stream, host Kyle Bylin is joined by Dr. Scott Latham, professor of strategy at UMass Lowell and author of “Are You Ready for the AI University?”—a provocative Chronicle of Higher Education essay calling academia to confront the era of artificial intelligence.

Together, they dive into higher ed’s moment of creative destruction, where AI isn’t just another tool but a force reshaping the foundations of learning, teaching, and institutional survival.

Latham draws on his experience in high-tech startups, research into organizational decline, and a lifelong fascination with creative destruction. The conversation explores the coming split between the “AI haves and have-nots,” why simply integrating AI into legacy systems will not save struggling colleges, and how tomorrow’s universities may be unrecognizable from today’s.

From the administrative back office to the classroom, the pair unpack how agentic systems and intelligent automation will challenge everything—from who gets hired to what gets taught to who gets left behind.

Takeaways

• AI is not a feature but a force: The “AI University” means rebuilding higher education from the ground up, not merely layering technology onto legacy systems.
• Creative destruction is underway: Higher ed faces an existential reckoning as AI disrupts economic models, teaching roles, and institutional value propositions.
• The next great divide: A chasm is opening between “AI haves and have-nots”—colleges able to invest in intelligent infrastructure, and those left behind.
• Administrative and faculty roles will shift: AI will first transform back-office processes and, soon after, rewire how courses are delivered and who teaches them.
• Assessment and learning must evolve: Faculty need to move beyond “defeating AI” in assessment and refocus on fostering deep, meaningful learning in an AI-rich world.
• AI literacy is the new baseline: Future students and educators must develop fluency not just in prompt engineering, but in navigating, critiquing, and leveraging AI as a co-intelligent partner.
• Institutions need an AI narrative and inventory: Every campus must define who “owns” AI, audit existing experiments, and build a unique AI story to remain relevant.
• Strategic foresight is essential: Surviving the intelligence age will require colleges to anticipate rapid technological shifts, embrace uncertainty, and lead institutional reinvention rather than trail it.