
ASU+GSV Summit 2025 Recap - Learning at the Speed of Light
04/22/25 • 45 min
In this eye-opening episode, Generation AI takes you inside the recent ASU+GSV Summit and AI Revolution Show in San Diego, where education and technology leaders gathered to address AI's impact on higher education. JC and Ardis break down how university presidents and tech executives are responding to what ASU leadership called an "AI Tsunami," sharing practical guidance on curriculum changes, institutional adaptation, and keeping humans at the center. The episode also examines the business side, analyzing how AI is driving EdTech consolidation, investment patterns, and market transformation. For anyone in higher education trying to make sense of AI's rapid changes, this episode provides both big-picture thinking and on-the-ground insights from those leading the charge.
The AI Revolution Landscape in Higher Education (00:00:00)
- Overview of ASU+GSV Summit and AI Revolution Show in San Diego
- Thousands of leaders gathered to discuss AI's impact on higher education
- Current challenges: declining public trust, cost pressures, value concerns
- ASU leadership describes the situation as an "AI Tsunami" requiring quick adaptation
Key Voices on Navigating the AI Era (00:02:30)
- C. Edward Watson (AAC&U) stressed that AI means major job change, not just loss
- Watson argues higher education must update curriculum now for AI literacy
- Warns against ineffective bans and detection tools, suggests adapting teaching methods
- Ted Mitchell (ACE) sees current disruption as a chance to build anew
- Mitchell emphasizes student success metrics and institutional data ownership
- Paul LeBlanc (Matter and Space) notes true innovation often comes from "unencumbered places"
- Views AI as both challenge and opportunity to rethink learning models
Strategic Leadership in the AI Transition (00:08:45)
- Lev Gonick (ASU) highlights IT leaders' role in managing the AI transition
- Stresses maintaining human-centered approaches despite rapid changes
- Sal Khan champions AI's potential to transform learning through personalized tools
- Michael Hansen (Cengage) warns that higher education must integrate AI to stay relevant
- Common thread: AI offers major potential but requires ethical frameworks
The Business of AI EdTech (00:15:20)
- Global education market worth over $7 trillion
- No EdTech company has broken the $20 billion mark yet
- M&A market looks strong for 2025 with stabilizing interest rates
- Private equity firms have record capital to invest, making EdTech attractive
- Market consolidation driven by both PE and strategic acquisitions
Investment Trends in Education AI (00:22:15)
- Key distinction between infrastructure AI (big models) and applied AI (workflow tools)
- Applied AI attracting significant funding with clearer paths to profits
- Element451's recent $175M investment cited as an example
- Tools for operations, compliance, and personalized learning gaining value
- Investors backing smaller companies disrupting older solutions
- Challenges include measuring true effectiveness when models change rapidly
Looking Ahead: The Future of AI in Higher Education (00:28:40)
- Successful AI integration requires both vision and market viability
- Tension between rapid adoption and real-world barriers (faculty readiness, data gaps)
- Future focus areas include better data management and governance
- Growing demand for proof of effectiveness beyond initial hype
- Continued investment expected in practical AI applications
- Workforce alignment remains a dominant driver for AI adoption
- Open question: Can AI fulfill its promise to democratize education?
- - -
Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
https://twitter.com/ardis
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/
https://twitter.com/jbonillx
About The Enrollify Podcast Network:
Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!
Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.
Attend the 2025 Engage Summit!
The Engage...
In this eye-opening episode, Generation AI takes you inside the recent ASU+GSV Summit and AI Revolution Show in San Diego, where education and technology leaders gathered to address AI's impact on higher education. JC and Ardis break down how university presidents and tech executives are responding to what ASU leadership called an "AI Tsunami," sharing practical guidance on curriculum changes, institutional adaptation, and keeping humans at the center. The episode also examines the business side, analyzing how AI is driving EdTech consolidation, investment patterns, and market transformation. For anyone in higher education trying to make sense of AI's rapid changes, this episode provides both big-picture thinking and on-the-ground insights from those leading the charge.
The AI Revolution Landscape in Higher Education (00:00:00)
- Overview of ASU+GSV Summit and AI Revolution Show in San Diego
- Thousands of leaders gathered to discuss AI's impact on higher education
- Current challenges: declining public trust, cost pressures, value concerns
- ASU leadership describes the situation as an "AI Tsunami" requiring quick adaptation
Key Voices on Navigating the AI Era (00:02:30)
- C. Edward Watson (AAC&U) stressed that AI means major job change, not just loss
- Watson argues higher education must update curriculum now for AI literacy
- Warns against ineffective bans and detection tools, suggests adapting teaching methods
- Ted Mitchell (ACE) sees current disruption as a chance to build anew
- Mitchell emphasizes student success metrics and institutional data ownership
- Paul LeBlanc (Matter and Space) notes true innovation often comes from "unencumbered places"
- Views AI as both challenge and opportunity to rethink learning models
Strategic Leadership in the AI Transition (00:08:45)
- Lev Gonick (ASU) highlights IT leaders' role in managing the AI transition
- Stresses maintaining human-centered approaches despite rapid changes
- Sal Khan champions AI's potential to transform learning through personalized tools
- Michael Hansen (Cengage) warns that higher education must integrate AI to stay relevant
- Common thread: AI offers major potential but requires ethical frameworks
The Business of AI EdTech (00:15:20)
- Global education market worth over $7 trillion
- No EdTech company has broken the $20 billion mark yet
- M&A market looks strong for 2025 with stabilizing interest rates
- Private equity firms have record capital to invest, making EdTech attractive
- Market consolidation driven by both PE and strategic acquisitions
Investment Trends in Education AI (00:22:15)
- Key distinction between infrastructure AI (big models) and applied AI (workflow tools)
- Applied AI attracting significant funding with clearer paths to profits
- Element451's recent $175M investment cited as an example
- Tools for operations, compliance, and personalized learning gaining value
- Investors backing smaller companies disrupting older solutions
- Challenges include measuring true effectiveness when models change rapidly
Looking Ahead: The Future of AI in Higher Education (00:28:40)
- Successful AI integration requires both vision and market viability
- Tension between rapid adoption and real-world barriers (faculty readiness, data gaps)
- Future focus areas include better data management and governance
- Growing demand for proof of effectiveness beyond initial hype
- Continued investment expected in practical AI applications
- Workforce alignment remains a dominant driver for AI adoption
- Open question: Can AI fulfill its promise to democratize education?
- - -
Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
https://twitter.com/ardis
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/
https://twitter.com/jbonillx
About The Enrollify Podcast Network:
Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!
Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.
Attend the 2025 Engage Summit!
The Engage...
Previous Episode

ASU's AI Strategy, Digital Workforce, and the End of Frankenstein Tech
In this insightful episode of Generation AI, hosts JC Bonilla and Ardis Kadiu speak with Lev Gonick, CIO of Arizona State University, about how AI is reshaping higher education technology systems. Gonick shares ASU's innovative approach to AI implementation, discussing their transition from fragmented "Frankenstein" tech systems to a more integrated architecture using AI agents. He explains how ASU is already deploying orchestrated AI agents across campus operations - from parking to financial aid to classroom instruction - and offers a practical vision for how universities can adapt to this technological shift. This conversation is essential listening for higher education professionals looking to understand how AI can transform student experiences and institutional operations.
The Current State of University Technology Systems (00:00:25)
- Discussion of universities as technology "Frankensteins" with disconnected systems
- Gonick explains ASU's dual approach to AI: both as additional tools and as potential unifiers
- The challenge of balancing pragmatic immediate needs with long-term integration goals
- ASU's outlook on technology focuses on opportunity and abundance rather than scarcity
The Timeline for Technology Transformation in Higher Education (00:02:14)
- Gonick suggests the transition away from fragmented systems could take "a generation or two"
- ASU positions itself as an outlier and model for what a "new American university" can look like
- The importance of proving what's possible by implementing future-focused solutions today
- ASU's commitment to focusing on "the future today" rather than waiting for perfect solutions
ASU's Leadership in AI Implementation (00:03:45)
- Reference to ASU's publication documenting their AI journey with 40+ implementation stories
- Discussion of ASU's mindset that emphasizes growth and innovation
- Gonick quotes Alan Kay: "If you want to predict the future, invent it"
- ASU's philosophy: "If you want to invent the future, start" - emphasizing action over debate
AI's Transformation of Higher Education (00:05:33)
- Gonick argues AI represents a "tectonic shift" that will redefine not just how we teach but what we teach
- Many universities are stuck in an academic debate rather than testing and experimenting
- ASU's approach involves real-world testing while adhering to principles of innovation
- The need for agile, iterative approaches to AI implementation similar to software development
The Evolution from Generative AI to AI Agents (00:08:57)
- Reflection on the past year's progress from classroom-focused generative AI to agent-based systems
- Gonick suggests current generative AI implementations will eventually be seen as "prehistory"
- Discussion of how voice and video AI experiences may create economic value in education
- The emergence of "agentic" AI systems where multiple specialized agents work together
ASU's Current Work with AI Agents (00:11:35)
- ASU has developed approximately a dozen purpose-built AI agents for different functions
- These agents are now being orchestrated to work together rather than operating independently
- Examples include agents for syllabus creation, assessment, skills development, and career opportunities
- Discussion of the need for "Centurion" agents to ensure privacy, security and ethical use
AI Applications in Campus Operations (00:14:52)
- ASU is implementing agentic AI experiences in back-office operations like parking management
- Plans for teaching and learning agent implementations starting in August for the new school year
- Development of pedagogy agents that support different teaching methods (Socratic, case method, etc.)
- Financial aid navigation as another major area where AI agents are improving student and family experiences
The Digital Workforce and Organizational Change (00:20:49)
- Discussion of AI agents functioning as a "digital workforce" that requires management
- The need to rearchitect how work is done in university settings
- Human resistance to change as a major challenge in AI implementation
- ASU's approach to helping employees transition to new roles through upskilling and reskilling programs
The Near Future of AI in Higher Education (00:24:47)
- Discussion of the impact of politics and regulations on AI implementation
- ASU's view of challenges as opportunities and their focus on adaptability
- The concept of building "anti-fragile" institutions that not only survive disruption but thrive
- The importan...
Next Episode

EO on AI Education, Hollywood's AI Validation, and OpenAI's O3 Visual Reasoning Power
In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu discuss recent significant AI developments across education, entertainment, and technology. They analyze President Trump's executive order on AI education for K-12 schools, which challenges the "cheating narrative" and aims to promote AI literacy. They also examine the Academy Awards' decision to accept AI-assisted films for consideration. The hosts then dive deep into OpenAI's new O3 model, exploring how its multimodal reasoning capabilities allow it to process text, images, and code in unified ways that mimic human thinking. The episode highlights practical applications for marketing, data analysis, and higher education enrollment strategies.
Introduction and News Updates (00:00:00)
- Welcome to the Generation AI podcast focused on higher education
- Introduction of hosts JC Bonilla and Ardis Kadiu
- Overview of the episode's main topics: executive order on AI education, Oscars' AI acceptance, and OpenAI's O3 model
Executive Order on AI Education (00:03:04)
- President Trump signed an executive order on April 23rd promoting AI education for youth
- The order creates a White House task force to oversee federal funding for AI literacy
- Discussion on how this challenges the current trend of banning AI in 60% of US schools
- Ardis shares personal experience of his children being afraid to use AI for educational purposes
- The order aims to remove the "AI equals bad" mental block in students
Global Competitiveness in AI Education (00:07:24)
- Debate on whether the US K-12 education system is globally competitive
- Discussion of inconsistencies in education quality across districts and states
- Comparison to other countries where students are actively building AI skills
- Need for improved AI literacy to maintain competitive advantage
The Academy Awards' AI Decision (00:08:56)
- The Academy of Motion Picture Arts and Sciences has updated rules for the 98th Oscars
- Films using generative AI tools are now eligible for awards
- The use of AI will neither help nor harm a film's chances of nomination
- Human-driven artistry will remain the priority in judging
- Discussion of the film "The Brutalist" which used AI for accent enhancement
- Significance of this as validation for AI in creative fields
Updates on Frontier AI Models (00:13:42)
- Brief mention of recent model releases from Google and Grok
- Focus on OpenAI's O3 as a "multimodal marvel" for reasoning
- The race of AI development continues with focus on scalable agents
- Discussion of naming conventions for OpenAI models
OpenAI's O3 Model Capabilities (00:16:20)
- O3 represents a departure from conversational chatbots toward visual thinking
- The model excels at coding, math, science, and visual reasoning
- It processes text, images, and code in a unified reasoning framework
- Visual thinking capabilities comparable to human thinking processes
- Discussion of performance improvements and acceleration in model capabilities
- The companion O4 Mini model for lightweight real-time applications
Testing O3 vs Other Models (00:25:28)
- JC and Ardis compare experiences using different OpenAI models
- Comparison between O3 and GPT-4o outputs for the same prompt
- O3's tendency to use tables and structured formats for certain outputs
- Ardis recommends using O3 for coding, PDF analysis, and creative feedback
Practical Applications of O3 (00:30:34)
- Content creation capabilities for ad copy generation
- Campaign visual analysis through multimodal reasoning
- Data analysis improvements for marketing datasets
- Better handling of unstructured tasks in higher education
- Strategic data-driven approaches to enrollment management
- Demo of creating visual ads with iterative refinements in minutes
- Example of financial analysis from complex spreadsheets
ChatGPT Memory Feature Update (00:40:37)
- New feature allowing ChatGPT to use prior conversations as context
- Benefits of the system remembering previous interactions
- How this enables personalization of AI responses
- Impact on workflow efficiency and personalized assistance
Conclusion (00:43:07)
- Final thoughts on AI integration into human activities
- Closing remarks and podcast network information
- - -
Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
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