The Learning Experience Ops Show

Summary In this conversation, Jason Gorman and Adarsh Lathika explore what happens to human capability when AI starts doing more of the thinking. Adarsh, a strategy and learning systems practitioner, introduces concepts like the shadow curriculum, cognitive debt, and the Anatomy of Work framework to explain how learners and employees are increasingly bypassing formal learning systems and building their own AI-powered solutions. They discuss why institutions and employers are losing relevance as learning providers, how prioritizing speed and output over depth is eroding foundational skills, and why human biology, judgment, and context are becoming the true competitive advantages in an AI-first world. Adarsh also unpacks three major shifts reshaping the field: from institutions to individuals, from courses to systems, and from knowledge to judgment. Takeaways Learners are building their own AI-powered learning tools outside formal systems. Knowledge is now abundant and instant; judgment is the real differentiator. AI is shortcutting the repetitive work that historically built domain expertise. Junior professionals are losing the chance to develop intuition through experience. Prioritizing speed and output creates only superficial skill development. Employees no longer trust that organizations are invested in their growth. L&D must shift from curating courses to building self-sustaining learning systems. Human biology, discipline, and habits outside work directly affect workplace performance. Transparency between employers and employees is essential to navigating this transition. Institutions must become places where cognitive and behavioral skills are built, not just credentials earned. Watch the full episode The Shadow Curriculum Is Already Here- Adarsh Lathika on What Happens When Learners Stop Waiting for Institutions and Start Building Their Own Systems

Summary In this conversation, Jason Gorman and Simon Greenwold discuss the power of storytelling as a strategic tool for organizations, particularly in higher education. Simon, co-founder and CEO of Story as a Service and Jason's business partner, draws on over 25 years of experience at Northwestern University and EdTech company 2U to explain how organizations can clarify their core story and communicate it effectively, both internally and externally. They explore real client work at Princeton and Excelsior University, the current state of higher education under political and economic pressure, and why storytelling is a practical superpower for faculty, learning designers, and institutional leaders. Takeaways Internal communications are the most important and least understood part of organizational health. Every organization has a core story that must be clarified before strategy can be built. Storytelling translates academic jargon into language anyone can understand. People remember three things, so be concise and intentional. Stakeholders hold stakes; understand what they care about before you communicate. Higher ed is being disrupted by AI, politics, and economics all at once. Most workplace turbulence feels severe but is usually mild. An organization's core story is like a Shakespeare play: same story, new forms over time. AI will disrupt learning design but will not replace the humanity it requires. Storytelling is a learnable skill that can become a professional superpower. Watch the full episode Your Story From the Inside Out- Simon Greenwold on Why Internal Communications Is the Most Underestimated Driver of Organizational Health

Summary In this conversation, Jason Gorman and Fadia Rostom explore the deeply human side of AI adoption in education. Fadia, founder of Vision Scholar and a former school principal with over 30 years in education and technology, shares how her journey as a Syrian immigrant shaped her passion for helping teachers rediscover the joy of teaching through AI. They discuss the layers of fear that hold educators back, from the intimidating name "artificial intelligence" to the broader resistance to change, and why teachers need the same permission to experiment and make mistakes that they give their students.  Takeaways AI can help teachers rediscover the joy of teaching. The name "artificial intelligence" itself creates fear and resistance. Teachers need permission to experiment and make mistakes. AI policies should be built from each community's unique context. AI works best in education through interdisciplinary approaches. How we measure success in education needs to be rethought. Change in education is slow and requires brave leadership. Celebrating what we share as humans matters now more than ever. Education needs to bring back life skills and critical thinking. Fear is real, but we owe it to students to move through it. Watch the full episode: Joy Is the Metric We Keep Forgetting- Fadia Rostom on Bringing Human-Centered AI Into Classrooms One Community at a Time

Summary In this conversation, Jason Gorman and Dr. Jeff Bergen discuss the evolving landscape of learning, the importance of self-regulation, and the impact of AI on education. They explore the challenges learning professionals face, including fear and misconceptions, and emphasize the need for effective measurement of learning outcomes. Dr. Bergen shares insights from his book 'Already Smarter' and highlights the significance of actionable strategies for learners. The discussion also touches on the future of learning design and the essential skills needed for lifelong learning. Takeaways The pace of change in learning is accelerating. Self-regulation is crucial for effective learning. Fear and misconceptions often hinder learning. AI can enhance the measurement of learning impact. Learning happens in various forms every day. The role of learning designers is evolving with AI. Effective learning requires actionable strategies. Lifelong learning is becoming a necessity. Coaching and mentoring are vital for skill development. Understanding learner needs is essential for success. Watch the full episode Episode 19: Already Smarter Than You Think- Jeff Bergin on the Beliefs That Block Learning and the Strategies That Actually Move People Forward

Summary: In this episode of the Learning Experience Operations Show, Jason Gorman interviews Louis NeJame, co-founder and CEO of Bevel, an AI-powered platform built for higher ed instructional design teams. They explore what happens when instructional designers spend 60 to 70 percent of their time on operational tasks like course audits, accessibility fixes, and content maintenance instead of actual learning design. Louis shares how his background in strategy consulting at Titan Partners and AI product development at McGraw-Hill led him to build Bevel, and how conducting over 200 interviews with higher ed instructional designers revealed a massive misallocation of talent. The conversation covers the tension between what AI can do and what it should do in education, how automating tedious quality checks is already unlocking demand for the relational and strategic work that matters most, and why the entry-level job market disruption from AI will reshape higher education itself. Louis also reflects on the philosophical difference between finite and infinite games and how that shapes his approach to building in ed tech. Takeaways: 60 to 70 percent of instructional designers' time goes to operational tasks, not learning design Just because AI can do something doesn't mean it should Change management is the hard part, not building course materials Automating audits increases demand for designers rather than replacing them Baseline AI literacy is a prerequisite for productive strategy conversations Quality checks now cost near zero, shifting evaluation from summative to formative AI job market disruption will ripple directly through higher education Existing courses need competency mapping too, not just new programs Instructional designers are positioned to be change agents during this disruption The pace of AI change is outrunning society's adaptive systems Watch the full episode: What Happens When a 2000 Course Audit Takes 90 Minutes?- Louis NeJame on the Early Evidence That Freeing Up Time Actually Unlocks More Demand for Real Expertise

Summary In this episode of the Learning Experience Operations Show, Jason Gorman interviews Donald Taylor, a prominent figure in the Learning and Development (L&D) field. They discuss the evolving landscape of L&D, the impact of technology, particularly AI, and the importance of networking and collaboration. Donald shares insights from his annual Global Sentiment Survey, highlighting trends and challenges in the profession. The conversation also delves into the Transformation Triangle, which outlines three potential future roles for L&D: skills authority, enablement partner, and adaptation engine. The episode emphasizes the need for L&D professionals to adapt to changing circumstances and to build strong relationships within their organizations. Takeaways The L&D profession is evolving with technology and societal changes. Inclusivity has improved in L&D, but challenges remain. Clinging to past methods can hinder progress in L&D. AI is a transformative force in the future of learning. Building networks is crucial for success in L&D. The Transformation Triangle outlines future roles for L&D professionals. Voice recognition technology will significantly impact L&D. Proactive engagement is necessary for L&D to thrive. Understanding organizational context is key to L&D strategy. The human element in L&D is essential for effective learning.  Watch the full episode Tinder for L&D, 12 Years of Data- Donald Taylor on What Learning Professionals Think Is Hot and How Often They Are Wrong

Summary In this conversation, Jason Gorman and Dr. Luke Hobson discuss the evolving landscape of instructional design, particularly in the context of AI's impact on the field. They explore the importance of foundational skills, networking, and the challenges faced by instructional designers today. Dr. Hobson shares insights from his career journey, emphasizing the need for effective communication and project management skills. The discussion also touches on future predictions for the industry and the role of AI in enhancing learning experiences. Takeaways The landscape of instructional design is rapidly changing due to technology. AI is reshaping the future of learning professionals. Networking is crucial for career advancement in instructional design. A strong portfolio is now essential for job seekers in the field. Project management skills are vital for successful instructional design. Effective communication can prevent project failures. Understanding your audience is key to designing impactful learning experiences. Continuous learning and upskilling are necessary in a changing job market. Embracing AI can enhance productivity and creativity in instructional design. The future of education will involve more experimentation and data-driven decisions. Watch the full episode The Field Has Changed. Have You?- Dr. Luke Hobson on What Endures, What Doesn't, and How to Stay Relevant as an Instructional Designer

Summary In this episode, Jason Gorman shares insights on starting and growing an L&D business, navigating the challenges of entrepreneurship, and adapting to industry changes like AI and market shifts. Perfect for aspiring learning and development entrepreneurs and instructional designers considering a side hustle or full-time venture. Key Takeaways Starting an L&D business from scratch Challenges faced by new entrepreneurs in education Adapting to AI and industry changes Effective networking and client acquisition Pricing and proposal strategies for freelancers Watch the Full Episode: Starting Up Your Own L&D Business- Hosted By Dr. Luke Hobson

Summary In this conversation, Jason Gorman and Diane Weaver explore the evolving role of AI in our lives, particularly through the lens of Baryons, an AI companion designed to help individuals thrive. They discuss the duality of AI, the importance of adaptability in the workforce, and the concept of the 'adaptation gap' that affects mental health and engagement. Diane shares her journey as a COO, the lessons learned from her career, and the vision behind Baryons. The conversation concludes with predictions for the future of learning and development, emphasizing the need for a human-centered approach in the age of AI. Takeaways AI can be a powerful tool for personal growth. The adaptation gap is a significant challenge in today's workforce. Flourishing is essential for mental health and productivity. Diane's journey highlights the importance of adaptability. Baryons aims to be a companion for personal transformation. The future of work requires a focus on human connection. Learning professionals must embrace AI to enhance their impact. Success in the future will depend on storytelling and wisdom. We need to prioritize mental wealth in our lives. Exploring different tools can lead to better outcomes. Watch the full episode Designing for Human Flourishing- Diane Weaver on AI Companions, the Adaptation Gap, and Why Learning Professionals Are Built for This Moment

Summary In this episode of The LX Ops Show, Jason Gorman sits down with Dan Streeter, CEO of Mission Fuel, to explore how AI is rapidly transforming the learning and development profession. Dan shares the pivotal moment in November 2022 when ChatGPT reshaped his vision for instructional design- and why he believes L&D professionals now have the most important job in the world. The conversation dives into automation, personalized learning, workforce disruption, and the ethical tensions surrounding AI adoption. From accelerating e-learning production to preparing for large-scale reskilling, this episode challenges learning professionals to lead in an era of unprecedented change. If you work in education, training, or workplace learning, this conversation is both a wake-up call and a call to action. Takeaways: AI is accelerating instructional design faster than most anticipated. Automation differs dramatically from simply using AI tools manually. L&D professionals must lead the global reskilling transition. Personalized learning is becoming technologically achievable at scale. Ethical judgment matters more than ever in AI adoption. AI will disrupt white-collar jobs at unprecedented speed. Just-in-time learning will redefine workplace performance support. Human expertise remains essential for validating AI-generated learning. Video and robotics advancements are accelerating faster than expected. Learning professionals may hold the world’s most critical role today. Watch the full episode The Reskilling Imperative- Dan Streeter on Why L&D Has the Most Important Job on the Planet Right Now

Summary In this episode of The Learning Experience Ops Show, Jason Gorman talks with Tom Driscoll, CEO of EdTechTeacher, about what it really takes to support educators in the age of AI. Tom challenges the hype around technology and brings the focus back to time, pedagogy, and the human core of learning. The conversation explores how schools can integrate AI responsibly without losing what makes teaching fundamentally social and powerful. Takeaways Time, not money, is the biggest barrier to scaling innovation. Teachers need protected time to experiment and build confidence. Engagement matters more than doubling down on remediation drills. AI arrived faster than schools were prepared to handle. Leadership excitement often overlooks classroom realities and constraints. Leaders must use AI themselves before setting expectations. Learning is inherently social and cannot be fully automated. AI should support instruction, not design the entire experience. Schools must protect core subjects while adopting new technologies. The future of education requires intentional instructional design Watch the full episode Designing the Future of Teaching- Tom Driscoll on Supporting Educators, Scaling What Works, and Navigating AI Responsibly

Summary In this conversation, Jason Gorman, founder and CEO of Jackrabbit LX, discusses the importance of understanding learner context in education, the shift from content creation to consulting, and the common mistakes organizations make in instructional design. He emphasizes the need for effective measurement of learning outcomes and the integration of AI in learning environments. Gorman also highlights the significance of building relationships in business and shares his vision for empowering organizations to expand their impact. Takeaways There's an over-indexing on what should the content be. We all have had bad online training experiences. Organizations need to focus on learner context. Good storytelling enhances learning retention. Measuring skills mastery is critical for success. AI can enhance learning experiences significantly. Building relationships is key to business success. Consulting is becoming a larger part of our services. Empowering organizations leads to greater impact. The future of learning is a work in progress. Watch the full episode: Actually Impactful Learning Experiences with Jackrabbit LX- Hosted by Oliver Lief  

Summary In this conversation, Jason Gorman and Andrea Flores explore the evolving landscape of education in the context of AI. They discuss the importance of thoughtful discourse around AI's role in education, Andrea's personal motivations and career journey, and the essential skills and mindsets needed for future challenges. The conversation delves into the need for a redesign of educational systems to better align with industry demands and the impact of education on societal outcomes. They also touch on the importance of measuring educational impact and envisioning a future where AI enhances learning experiences rather than replaces human insight. Takeaways There's a need for thoughtful discourse on AI in education. Andrea's background in engineering influences her design thinking. Improving quality of life for learners is a core motivation. AI can augment design processes but should not replace human insight. Systems thinking is crucial for understanding educational ecosystems. Project management skills are essential in learning design. Curiosity and adaptability are key mindsets for educators. AI can help identify skills gaps in learners. Rethinking education requires collaboration among stakeholders. Measuring educational impact involves both qualitative and quantitative metrics. Watch the full episode: Episode 10: Turn School Into Problem Solving- Andrea Flores on Real World Learning That Sticks

Summary In this conversation, Jason Gorman and Mariana Ganapini delve into the ethical implications of AI, exploring the need for stillness in understanding these issues. They discuss the importance of applied theory in AI governance, the challenges posed by AI in education, and the concept of trust in AI systems. Mariana emphasizes the need for a rights-based approach to responsible AI, highlighting the importance of context in learning and the evolving role of humans in an AI-driven world. Takeaways The need for stillness to think through ethical implications of AI. AI's rapid pace makes it difficult to consider ethical issues. Responsible AI aims to create safe and fair machines. Students' reliance on AI tools may hinder their reading skills. Trust in AI involves both reliability and understanding intentions. Evaluation measures for AI outputs are becoming more established. Human roles in learning must be redefined in an AI context. A rights-based approach to AI is essential for ethical governance. The influence of AI on education requires careful consideration. Context is crucial for effective learning experiences. Watch the full episode: Philosopher in the Loop- Marianna Ganapini on Redesigning AI with Reflection, Not Just Speed

Summary In this episode of the Learning Experience Ops show, Jason Gorman interviews Jonathan Thayer, Chief Data and AI Architect at K2 United. They discuss Jonathan's extensive career in e-learning and AI, the challenges and opportunities presented by AI in the workplace, and the importance of agile methodologies in integrating AI into business processes. Jonathan shares insights on the evolving role of AI, the significance of data access, and the need for governance in AI applications. He also emphasizes the importance of hands-on experience with AI and the value of interpersonal communication in navigating the complexities of AI transformation. Takeaways AI is rapidly changing the landscape of work, presenting both opportunities and challenges. The creative aspects of work may be significantly impacted by AI. Adopting agile methodologies can enhance project management and adaptability. Citizen developers can leverage AI tools without needing extensive programming knowledge. Monitoring AI performance is essential for ensuring quality and effectiveness. AI can assist in automating both structured and unstructured tasks. Data access is a critical factor in realizing the value of AI. There is no single solution for AI integration; a combination of tools is necessary. Passive observation can provide insights into the effectiveness of AI implementations. Hands-on experience with AI is crucial for understanding its capabilities and limitations. Watch the full episode: Governing the AI Shift- Jonathan Thayer on Architecting AI, Agile Governance, and Human-Centered Transformation  

Summary In this episode of the Learning Experience Operations Show, hosts Jason Gorman and James Altman reflect on their experiences from the previous year and outline their plans for 2026. They discuss the importance of community engagement through events, the challenges of navigating change and overwhelm in the workplace, and the balance between maintaining fundamental practices while embracing experimentation. The conversation also delves into the complexities of business operations, the role of AI, and the necessity of human judgment in decision-making. They emphasize the need for comfort with ambiguity and the creative aspects of entrepreneurship, concluding with a call to action for listeners to engage with their community.   Takeaways The importance of community engagement through events. Change fatigue is a real challenge for many professionals. Businesses are complex systems, not machines. Innovation and efficiency often conflict with each other. Embracing discomfort is essential in a rapidly changing environment. Comfort with ambiguity can be developed as a skill. Business operations require a creative approach. AI introduces unpredictability that must be managed. No two situations in business are the same. Engaging with the community is vital for growth and learning. Watch the full episode Beyond Optimization: Learning in Motion- Jason & James on Adaptive Leadership, AI's Limits & Designing for Human Connection  

Summary In this episode of the Learning Experience Operations Show, host Jason Gorman engages with Jen Briselli, a strategist and educator, to explore the transformative potential of risky play, complexity-informed design, and transdisciplinary collaboration. Jen shares her journey from being a physics teacher to a design strategist, emphasizing the importance of enabling individuals to define their own paths to 'living well.' The conversation delves into the distinctions between teaching and facilitating learning, the role of scaffolding in design, and the challenges organizations face in navigating change. They also discuss the impact of AI on learning and the importance of sensing and responding to the needs of learners in a rapidly evolving landscape. Takeaways Jen Briselli emphasizes the importance of enabling individuals to define what 'living well' means for themselves. Facilitation is about creating conditions for learning rather than dictating outcomes. The journey from physics teacher to design strategist highlights the interconnectedness of learning and experience design. Teaching and facilitating learning are distinct but complementary practices. Scaffolding in design should be flexible and adaptable to the needs of the learners. Effective learning experiences require understanding the context and needs of the audience. AI is a tool that can enhance learning but should not replace human interaction and collaboration. Behavior change is a visible metric but should not be the sole focus of learning outcomes. Organizations should prioritize sensing and responding to the needs of their employees. The future of learning will depend on how well we integrate AI into human-centered practices.   Watch the Full Episode The Marginally Irresponsible Path- Jen Briselli on Risky Play, Systems Thinking & Redefining What It Means to Learn

Summary In this episode, Jason Gorman interviews Dr. Ben Zugay, a business professor and consultant, discussing his journey into education, the importance of an entrepreneurial mindset, and the operational lessons learned from his time at Disney. They explore the challenges faced in modern education, the significance of student engagement, and the impact of AI on teaching and learning. Dr. Zugay emphasizes the need for continuous improvement and relevance in education while maintaining a focus on fundamental principles. Takeaways Dr. Zugay started his first business at 14, developing an entrepreneurial mindset early on. His experience at Disney shaped his understanding of presentation and brand in education. Teaching is about continuous assessment and checking for understanding, not just lecturing. Students should leave classes with tangible skills they can apply immediately. The importance of making learning experiences relevant to students' lives. AI presents opportunities for personalized learning but requires an entrepreneurial mindset. Higher education must adapt to teach students how to use AI effectively. Fundamentals of business remain unchanged despite technological advancements. Engagement in learning is crucial; students should not just check boxes. Change in education requires a focus on opportunities rather than challenges. Watch the Full Episode Bridging Business, Branding, and the Classroom-  Ben Zugay on Disney, Startups, and Reinventing Teaching

Summary In this episode, Zach Wagner shares his extensive journey in educational technology, discussing his passion for integrating AI into education. He emphasizes the importance of tailoring AI solutions to specific organizational needs and the challenges companies face in implementing AI effectively. Zach outlines the critical steps for integrating AI into workflows, the trade-offs involved, and the tasks that should remain human-driven. He also reflects on the future of education and the skills students will need to thrive in a rapidly changing world.   Takeaways Zach Wagner has a rich background in educational technology. AI is a transformative force in education. Tailoring AI solutions to specific organizational needs is crucial. Organizations often struggle with effective AI implementation. Involving all stakeholders is key to successful AI integration. Start with simple AI applications and scale from there. The nature of work is changing with AI adoption. Not all tasks should be automated; some require human insight. Organizations need to adapt their workforce for AI. Students must develop resilience and adaptability in their learning. Watch the Full Episode Data In, Humanity Out- Zach Wagner on Designing AI Tools That Don’t Dehumanize Work

Summary In this engaging conversation, Jason Gorman and James Altman discuss various themes surrounding the impact of AI on learning professionals, gender bias in social media algorithms, and the future of the workforce. They share personal experiences, insights from recent forums, and the implications of technology on education and job markets. The discussion highlights the challenges and opportunities presented by AI, emphasizing the need for awareness and adaptation in a rapidly changing landscape. Takeaways AI is influencing learning and job markets significantly. Algorithmic bias, particularly against women, is a pressing issue. The future of education will involve more AI integration. Learning professionals need to develop skills to navigate AI's impact. There is a lack of resources for addressing biases in AI. AI can create addiction-like behaviors in users. The workforce is facing a demographic cliff due to retiring baby boomers. Gen Z faces paradoxical job market challenges. Understanding AI's dark patterns is crucial for users. The conversation emphasizes the importance of adapting to technological changes. Watch the Full Episode Sycophants & Snipers- Jason & James on AI Flattery, Algorithmic Injustice and The Emotional Pull of Persuasive Tech

Summary In this conversation, Brick Maier shares his journey from being a classroom teacher to his current role as Director of Enterprise Learning and Development at HeatSpring, an online learning platform focused on renewable energy. He discusses the importance of data-driven approaches in learning design, the integration of various learning modalities, and the impact of AI on assessment and course development. Brick emphasizes the need for a balance between structure and flexibility in learning design and shares insights on the future of learning in an AI-driven world. Takeaways Brick Maier's journey began as a classroom teacher in Los Angeles. HeatSpring focuses on renewable energy education and certifications. Data-driven approaches are essential for measuring learning outcomes. Quality questions are key to effective learning experiences. AI has transformed the way assessments are created and utilized. Balancing structure and flexibility is crucial in course development. Integrating various learning modalities enhances the learning experience. The future of learning will be more dynamic and personalized. Short cycles of iteration are important for testing new concepts. Curiosity and critical inquiry will be vital for future learners. Watch the Full Episode Frameworks, Not Toolkits- Brick Maier on Building 350 Courses Without Losing Your Sanity (or Soul)

Summary In this conversation, Stephen Hyde shares his journey into executive education, discussing the importance of leadership, collaborative learning, and the evolving landscape of education. He emphasizes the significance of understanding the needs of learners and organizations, the value of peer learning, and the necessity of adapting to change while preserving core values. Stephen also highlights the importance of variation in learning experiences and the collaborative nature of effective leadership.   Takeaways Stephen's entry into executive education was a happy accident. Leadership is about listening and understanding the needs of others. Executive education focuses on lifelong learning and adapting to change. Peer learning is a crucial component of effective education. The importance of variation in learning experiences to maintain engagement. Good ideas can come from anywhere within an organization. Change is constant, and organizations must adapt to remain relevant. The how of collaboration is as important as the what of delivery. Creating a culture of trust and respect enhances teamwork. Documenting and making explicit what works helps preserve core values. Watch the Full Episode The Main Thing- Stephen Hyde on Building Future-Ready Leaders & Keeping Learning Human  

Summary The LX Ops Show is a platform for discussing the evolving landscape of learning and training, particularly in the context of AI and operational efficiency. Hosts Jason Gorman and James Altman explore the challenges and transformations in the learning experience industry, emphasizing the need for human-centered approaches and the integration of diverse perspectives. The show aims to foster a community around these discussions, providing insights and strategies for professionals in the field. Takeaways The podcast focuses on conversations with industry professionals. There is a significant transformation happening in learning and training due to AI. Organizations face common pain points in learning operations. AI can accelerate both positive and negative outcomes in learning. Roles in learning design are evolving to include more operational responsibilities. The show will feature interviews and discussions on various learning topics. Diverse perspectives are crucial for innovation in learning design. The hosts aim to stay current and evolve their expertise. Understanding the learner is a fundamental goal of the show. The first subscriber will receive a special acknowledgment. Watch the Full Episode Welcome to The Learning Ops Show by Jason Gorman