AI x Higher Ed Podcast

Anand Rao
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  • EDUCATION
  • UPDATED WEEKLY

AI x Higher ed is a podcast for educators about AI in education. Hosted by Stefan Bauschard and Anand Rao, AI x Higher Ed will provide weekly updates on developments in AI and their impact on education, as well as interviews with special guests.

  1. 5D AGO

    The AI News You Missed This Week | Instructure Hack, Claude Agents & More (May 12, 2026)

    n this week’s AI x Higher Ed update, we unpack the accelerating pace of artificial intelligence development and what it means for higher education, industry, and society at large. From AI systems collaborating with one another and coding autonomously for hours at a time, to major infrastructure battles over compute power, the conversation explores how rapidly the AI landscape is evolving.The episode covers new breakthroughs from Thinking Machines, Anthropic, OpenAI, Google, and Neuralink, along with emerging applications in law, cybersecurity, robotics, scientific research, and mathematics. The hosts also examine the growing societal tensions around AI, including student backlash, workforce disruption, ethical concerns, and debates over universal basic income.As AI capabilities continue to scale, the discussion highlights a central challenge for higher education: preparing students and institutions for a future where AI is not just a tool, but an active collaborator shaping nearly every field.#aixhigheredpodcast #ArtificialIntelligence #HigherEducation #AIinEducation #GenerativeAI #Anthropic #OpenAI #Robotics #FutureOfWork #AIResearch #EdTech #AILeadership #HigherEd

    31 min

  2. MAY 11

    From Kinesiology to AI Pioneer: Tim Mousel is Rewiring Higher Ed Through Real-World Problem Solving

    In this episode, we sit down with Tim Mousel (Lone Star College), kinesiology professor turned AI innovator, to explore how curiosity, necessity, and relentless perseverance led him to become one of the most influential voices in AI and higher education.From building early software tools before ChatGPT existed to advising national AI initiatives, Tim shares a powerful perspective on why AI isn’t just a tool—but a fundamental shift in how we teach, learn, and prepare students for the future.We dive into:- The importance of purpose-driven learning- Why most assignments are broken (and how to fix them)- How faculty can overcome resistance to AI- The growing gap between education and workforce expectations- Why AI will expose mediocrity—and what to do about itIf you care about the future of education, this is a must-listen.⏱️ Chapters00:00 – Intro & Meeting Tim at Lone Star College02:10 – From Kinesiology to Coding: An Unlikely Journey06:30 – Building AI Tools Before ChatGPT10:45 – The Power of Purpose-Driven Learning15:20 – Martial Arts, Resilience, and the “Never Quit” Mindset20:10 – Why Students (and Faculty) Lack Motivation24:30 – Faculty Resistance to AI: What’s Changing29:00 – Why We Overestimated AI Adoption Speed33:15 – The Future of Higher Ed (and Who Gets Left Behind)38:40 – AI-Responsive Assignment Design (A-RAD Framework)45:10 – A Better Assignment: From Paper to Chatbot Creation52:30 – The AI Literacy Gap (97% vs. 20%)58:00 – Why One AI Course Isn’t Enough1:02:20 – Building System-Wide AI Transformation (Task Force Strategy)1:10:15 – Agentic AI & Multi-Model Workflows Explained1:18:40 – Building a Business in 6 Hours with AI1:24:30 – The White House AI Meeting: Missing Educators1:30:10 – The Dangerous Gap Between College and Workforce Expectations1:36:00 – “AI Will Expose Mediocrity”1:41:20 – Final Thoughts & Where to Find Tim#AIinHigherEd #EdTech #GenerativeAI #FutureOfWork #HigherEducation #AIEducation #DigitalTransformation #FacultyInnovation #AILeadership

    59 min

  3. MAY 6

    AI News May 5, 2026 | Why Coinbase Just Laid Off Thousands

    The pace of AI development is accelerating faster than most institutions, and most people, are prepared for. In this May 5, 2026, AI Update, the AI x Higher Ed team explores the growing momentum toward AGI, recursive self-improvement, humanoid robotics, AI-driven job displacement, and the emerging moral dilemmas shaping the future of society.The conversation examines why leaders like Sam Altman and Mark Cuban believe AI literacy is becoming essential for students and workers alike, while also unpacking growing concerns around employment disruption, AI consciousness, military integration, government oversight, and AI alignment.The episode also dives deeply into AI pluralism — the argument that society cannot rely on a single dominant AI worldview — and why higher education institutions may play a critical role in helping students navigate the ethical, political, and social consequences of increasingly powerful AI systems.#ArtificialIntelligence #HigherEducation #AGI #AIAlignment #AIPluralism #EdTech #FutureOfWork #Automation #GenerativeAI #HigherEd #AIethics #HumanoidRobots

    34 min

  4. MAY 4

    Universities Must Adapt to AI—Here's How They're Doing It (interview with Lance Eaton)

    What happens when artificial intelligence forces higher education to confront long-standing assumptions about teaching, learning, and assessment?In this episode of AI x Higher Ed, Stefan and Anand sit down with Lance Eaton, Senior Associate Director of AI in Teaching and Learning at Northeastern University, to explore why AI is not simply another educational technology disruption — and why liberal arts institutions may be uniquely positioned to respond.Lance discusses the tension between resisting AI and critically engaging with it, the “militant apathy” emerging among students after the pandemic, the limits of traditional lectures and assessments, and why higher education must rethink learning design for an AI-enabled world.The conversation also dives into faculty development, communities of practice, agentic AI workflows, and what successful institutional transformation could look like over the next several years.Whether you’re skeptical, curious, or already experimenting with AI in the classroom, this episode offers a thoughtful and deeply practical discussion about the future of teaching and learning.Chapter Markers00:00 – Introduction to Lance Eaton and upcoming keynote on liberal arts and AI03:10 – Why AI exposes long-standing problems in higher education08:15 – Convenience models, lectures, and the structure of education14:20 – “Militant apathy” and the post-pandemic student experience20:45 – Why AI feels different from previous technological disruptions28:10 – Small design shifts faculty can make right now35:30 – Meeting students where they are with AI-assisted research42:40 – Resistance, privilege, and the ethics of AI avoidance53:20 – The highest-leverage moves faculty can make this fall59:50 – Faculty cohorts and communities of practice around AI1:06:40 – Liberal arts, transfer skills, and teaching for adaptability1:15:10 – Agentic AI and the next phase of educational transformation1:25:30 – What successful AI transition could look like in 3–5 years1:33:00 – Final reflections and where to follow Lance Eaton#AI #HigherEducation #GenerativeAI #LiberalArts #TeachingAndLearning #FacultyDevelopment #EdTech #AgenticAI #NortheasternUniversity #AIinEducation

    1h 9m

  5. APR 29

    The Disconnect: What Traditional Teaching Gets Wrong - Interview with ExpertTheory

    What if students didn’t just learn about complex global issues—but lived inside them?In this episode of the AI x Higher Ed Podcast, we explore how simulation-based learning—powered by AI—is redefining engagement, retention, and critical thinking in education. From a struggling classroom at Georgetown to immersive geopolitical simulations used by universities, the military, and even high schools, this conversation reveals how games are becoming one of the most powerful learning tools of our time.We dive into the creation of the Providence platform, how large language models are enabling scalable simulation design, and why the future of education may lie at the intersection of storytelling, strategy, and unpredictability. We are joined by CEO Daveed Gartenstein-Ross and Product Owner Jesse Nimons from ExpertTheory. You can find out more at: https://www.experttheory.com/ ⏱️ Chapter Markers00:00 – The classroom moment that changed everything02:14 – The “click” moment: when learning becomes immersive04:50 – Why traditional game design was too slow (and expensive)06:47 – The ChatGPT breakthrough and the birth of Providence08:34 – What simulation learning actually looks like in practice10:19 – Inside a live simulation: what engagement really means12:22 – From classrooms to global strategy games15:02 – How students apply knowledge in real time17:11 – Why simulations improve memory and understanding18:26 – Learning through storytelling and perspective-taking19:45 – When real-world professionals learn from games23:10 – The “secret sauce” of immersive simulations25:09 – Beyond security studies: applying games to any field27:24 – Case study: reimagining the lottery industry through gameplay30:18 – Why traditional war games fall short31:19 – Embracing unpredictability in learning33:35 – Designing for chaos, creativity, and competition35:01 – When “off-the-rails” behavior becomes strategy37:53 – Hiring through gameplay: a new signal of talent38:26 – AI anxiety vs. deeper thinking through simulations39:40 – Bringing simulation learning to high schools40:52 – Arctic Awakenings: climate, geopolitics, and complexity43:22 – Middle school simulations and “six touches” learning46:27 – Can games replace traditional education?49:30 – Why gamification fails—and what works instead50:23 – The hybrid model: lecture + simulation52:00 – Scaling access with AI and affordability54:02 – The future: AI adjudication and democratized learning#AIinEducation #HigherEd #EdTech #ActiveLearning #SimulationLearning #FutureOfEducation #AI #LearningInnovation

    1h 3m

  6. APR 29

    AI Just Hit Escape Velocity—Here's What Happens Next

    In this week’s AI x Higher Ed podcast update, we explore a provocative question increasingly raised by AI leaders and researchers: are we entering AI’s equivalent of “January 2020” — the moment just before exponential change becomes impossible to ignore?Drawing on comments from Sam Altman, Demis Hassabis, Emad Mostaque, and Nick Bostrom, we unpack growing signs that AI capabilities may be accelerating faster than expected. From self-improving coding systems and AI solving long-standing math problems to autonomous buses, AI-run stores, humanoid robotics, and the transformation of legal work, this episode examines how rapidly expanding AI capabilities could reshape education, labor markets, geopolitics, and society itself.We also discuss the constraints that may slow widespread adoption — including energy, compute, data center capacity, and organizational readiness — while asking whether capability growth is already entering escape velocity even if implementation lags behind.The conversation closes with a deeper examination of AGI, national security concerns, AI regulation, and the increasingly uneasy balance between commercial incentives, safety, and global competition.Chapter Markers00:00 — Introduction: The “January 2020” AI AnalogyThe hosts introduce the growing comparison between today’s AI moment and the early days of COVID-19 before exponential spread became obvious.02:17 — Are We Already at Human-Level AI?Nick Bostrom, Demis Hassabis, and the debate over whether current models are already approaching AGI-level capabilities.04:37 — AI Solves a 60-Year-Old Math ProblemDiscussion of how generative AI systems are beginning to exceed expectations in specialized reasoning tasks.06:09 — AI Traders, Robotics, and Ping Pong ChampionsPrediction market bots, autonomous systems, and AI defeating professional human players.08:24 — AI Companions and the Social ConsequencesThe rise of AI girlfriends, loneliness, and concerns about long-term social and workplace impacts.10:11 — Programming Jobs, AI Hiring, and Economic DisruptionThe changing labor market for software engineers and the uncertain future of technical careers.12:10 — Meta Layoffs, Employee Surveillance, and Training AI ReplacementsHow companies are using workplace monitoring data to train future AI systems.14:13 — Data Centers, Energy Constraints, and Space-Based Solar PowerThe infrastructure bottlenecks limiting AI growth and the race to power future compute demand.15:05 — AI in Law Firms and the Transformation of Legal WorkHarvey AI, Anthropic partnerships, and how legal services may radically change.18:39 — The AI-Run Convenience Store ExperimentAutonomous business management, algorithmic bias, and the future of AI-operated organizations.20:44 — Governments, Public Services, and Autonomous TransportationThe UAE’s plan to automate government services and new autonomous bus deployments in Norway.22:25 — Humanoid Robots and Automation in Physical LaborAI-powered robotics entering airports and other real-world operational environments.23:07 — Escape Velocity: Self-Improving AI SystemsThe accelerating pace of AI model releases and what happens when systems begin improving themselves.26:00 — Will AI Spread Exponentially Through Society?A nuanced discussion about whether capability growth and societal adoption will happen at the same speed.32:08 — AGI, National Security, and Geopolitical RiskThe implications of advanced AI systems for governments, cyberwarfare, and global power dynamics.37:58 — Final ReflectionsClosing thoughts on why AI is rapidly becoming far more consequential than simply helping students write papers.#aixhigheredpodcast #ArtificialIntelligence #HigherEducation #AGI #AI #EdTech #GenerativeAI #FutureOfWork #AIResearch #Technology #Education #Automation #AIinEducation #DigitalTransformation #Podcast

    38 min

  7. APR 23

    ChatGPT Images 2.0, Claude Opus 4.7, and What's Actually Changing - April 23, 2026 AI Update

    In this week’s AI x Higher Ed update, we unpack a wave of major AI advancements—from multimodal breakthroughs like ChatGPT Images 2.0 to the rise of agentic workflows and open-source competition. We also explore what these changes mean for higher education, workforce disruption, and the evolving skills students will need in an AI-native world.As AI capabilities rapidly converge across reasoning, design, and automation, the implications are both exciting and unsettling. This episode connects the latest technical developments to real-world impact—especially for educators, institutions, and learners navigating this transformation.⏱ Chapters00:00 – Introduction & episode overview00:14 – ChatGPT Images 2.0: reasoning meets image generation02:57 – Claude Opus 4.7: coding gains and agent orchestration04:49 – Claude Design: AI-generated flyers and prototypes06:33 – Convergence of AI capabilities across tools07:59 – Gemini Deep Research: speed vs. depth modes09:47 – Kimi model: open-source agent swarm approach11:33 – Cursor + xAI/SpaceX partnership speculation14:50 – Fully automated AI companies: what’s next?16:20 – Preparing students for agent-driven workflows18:21 – Anthropic Mythos: cybersecurity and government tensions21:43 – AI-driven layoffs and workforce transformation23:13 – Surveillance, training data, and ethical concerns25:04 – AI influence in politics and synthetic media26:40 – AI music indistinguishable from human-created28:17 – Robot Olympics: US vs. China developments29:43 – Closing thoughts & what to watch next#AIinHigherEd #ArtificialIntelligence #EdTech #AIUpdates #FutureOfWork #GenerativeAI #HigherEducation #AIResearch #Automation #DigitalTransformation

    31 min

  8. APR 20

    Higher Ed's AI Reality Check with Professor Laura Dumin

    In this insightful conversation, we sit down with Professor Laura Dumin from the University of Central Oklahoma to discuss her valuable work and the early stages of generative ai. We explore the impact of ai technology and the exciting advancements in artificial intelligence. This interview with ai expert provides a clear perspective on the evolving landscape, making complex topics more ai explained.00:00 – Introduction & Laura Dumin’s background01:10 – The origin and rapid growth of her AI educator community02:45 – Early days of GenAI in higher ed & co-authoring foundational work04:15 – Moving from AI detection to trust-based teaching06:00 – Challenges of scaling relationship-based pedagogy09:00 – Faculty-led AI leadership on campus12:00 – Navigating resistance from faculty and students14:15 – Practical strategies for teaching writing with AI18:00 – How AI is changing the writing process20:00 – Why some students are rejecting AI tools22:00 – Rethinking grading in the age of AI25:00 – Workforce implications and AI skill expectations27:00 – When and how to introduce AI to students32:45 – კვლ Research: analyzing AI-generated writing36:30 – Building institutional support and AI centers38:30 – Can higher ed keep up with AI’s pace?41:30 – The future of higher education & the role of humanities43:30 – Closing thoughts & upcoming conference#aixhigheredpodcast #HigherEd #AIinEducation #EdTech #WritingInstruction #GenerativeAI #FacultyDevelopment #AcademicInnovation

    45 min
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About

AI x Higher ed is a podcast for educators about AI in education. Hosted by Stefan Bauschard and Anand Rao, AI x Higher Ed will provide weekly updates on developments in AI and their impact on education, as well as interviews with special guests.

Information

  • Creator
    Anand Rao
  • Years Active
    2025 - 2026
  • Episodes
    58
  • Rating
    Clean
  • Copyright
    © Anand Rao
  • Show Website
    AI x Higher Ed Podcast

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