Adam Hofmann, leader of Elixirr's generative AI practice, joins Paul Estes to share insights on moving organizations from AI curiosity to implementation. Drawing from his journey from entrepreneur to AI strategy consultant, Adam reveals how shifting from technical experimentation to cultural engagement is key to successful AI adoption. Paul and Adam discuss the phenomenon of "present bias"—how our experiences with today's AI tools can limit our ability to envision their future potential. From boardroom directives to CFO-led initiatives, this episode examines who's driving AI adoption and how companies can build momentum through targeted proof-of-concepts. Whether you're struggling with organizational alignment or looking for practical ways to start implementing AI, Adam's focus on playful experimentation offers a refreshing perspective on building AI literacy across your company. You'll Learn: How "present bias" limits our ability to see AI's exponential growth potential Why CFOs and finance leaders are often surprising champions of AI adoption The importance of identifying high-ROI use cases before diving into implementation How to avoid the "internal cluster" problem when assigning AI ownership Why making AI accessible and fun is crucial for organizational adoption Simple ways to start building AI literacy by replacing everyday tasks Creative approaches to AI experimentation, including Adam's music creation story In This Episode: Microsoft Copilot & Copilot Studio Riffusion ChatGPT Claude Azure AI Foundry Service Now Bolt.new Cursor Replit