Why AI training fails: AI adoption that sticks

Companies are investing in AI tools and training, yet many still struggle to achieve true AI adoption. Why? Because training alone doesn't change the standards around how an organization works. In this LearnAIR™ webinar, AI Educator Michael Stoneman explores why AI enablement programs fall short and what it takes to turn individual AI skills into lasting organizational change. Drawing on real-world experiences from Les Schwab, Bend-Redmond Habitat, and Cascade Energy, discover the barriers that prevent AI adoption and the practical steps leaders can take to overcome them. Learn how to establish the right foundations, empower AI champions, and measure outcomes that demonstrate real business value. RESOURCES LearnAIR Community: https://community.learnair.com Why AI training alone does not lead to AI adoption: https://community.learnair.com/public... CHAPTERS 00:00 Welcome and introduction 01:04 Why AI training alone fails 04:11 AI usage vs. organizational adoption 07:41 The human part: Habits, roles, and tools 12:00 Four reasons AI adoption programs fail 16:38 Three real-world AI adoption stories 17:13 Les Schwab: The methodical enterprise 20:04 Bend-Redmond Habitat: Balancing speed and structure 24:12 Cascade Energy: The importance of technical readiness 28:17 Building the foundation before training 34:04 Creating an effective AI champion team 45:17 Measuring adoption and business outcomes 49:04 Evaluating your AI adoption plan 52:15 Closing and next steps ABOUT LEARNAIR LearnAIR™ exists to usher humanity into the AI Era. We help professionals build the knowledge and confidence to work effectively alongside AI and digital colleagues. Subscribe for practical demonstrations, AI feature updates, and workplace use cases covering ChatGPT, Claude, Gemini, Copilot, and more. Don't forget the human part. Recorded October 29, 2026. AI tools and features may change.