#163 Mastering AI & human collaboration for better decisions with Russell Evans

Implementing technically perfect solutions often meets unexpected resistance. Russell and I explore why this is so. Because the problem isn’t always technical; it’s systemic. We discuss case studies where this happens and we see this pervasive structural issue. Dropping an amazing gadget into an ecosystem without addressing “structural changes” like incentives, rewards, and identity within the organization can lead to rejection. It’s not just about changing tech; it’s about changing the “collective habit of the system.” This idea of small impactful experiments and measurable success is key to creating momentum for adoption and scaling the understanding of the value of AI-human collaboration to drive organizational change. Leaders must address these systemic barriers in order for the organisations to intentionally redesign workflows, processes, relationships and results. What structural changes does your organization need to make to truly embrace AI-driven insights and transform decision-making? Chapters 00:00 Why Organizations Make Poor Decisions 04:21 Broken Innovation Processes and Fear 07:57 AI’s Role in Decision Making 12:37 Human-AI Partnership in Practice 15:58 Structural Barriers to AI Adoption 19:01 Leadership and AI Disruption 24:22 Essential Leadership Skills for AI Era 29:01 Future of Decision-Making with AI 31:39 Driving Change: Experiment and Prove 33:52 Russell’s Transformation and Next S-Curve 37:05 Final Thoughts and Contact Info The main insights you'll get from this episode are : Recognize that despite advanced tools and data, human biases and flawed processes hinder effective decision-making. Integrate AI as a curation and synthesis tool, not a data firehose, to prevent overwhelming human decision-makers. Prioritize human expertise and intuition in AI-driven processes, ensuring a balance between automation and human oversight. Address systemic issues like misaligned incentives and fear of failure that prevent adoption of better solutions. Demonstrate the value of AI-human collaboration through experiments and measurable success to drive organizational change. Cultivate leadership skills focused on pragmatic technology understanding and a clear vision for organizational transformation. Find out more about Russell & his work here : https://www.zs.com   / russellsevans