People Over Prompts: Human teams in the age of AI

Brian Milner

As AI becomes part of everyday work, teams are facing new questions about trust, judgment, collaboration, creativity, leadership, and ethics. This show looks beyond the tools and prompts to explore what humans still bring to the table - and what teams need to rethink when AI joins the workflow. Hosted by Brian Milner, Certified Scrum Trainer and agile coach, each episode explores how people, teams, and leaders can survive and thrive in an AI-shaped workplace. Through practical conversations with experts, coaches, leaders, and practitioners, People Over Prompts helps teams build better working agreements, stronger human skills, and smarter ways to collaborate with AI. Because the future of work is not just about better technology. It is about better teams.

Episodes

  1. 2 Sept

    Episode 10: Is AI Making Us Faster But Dumber?

    The podcast episode explores the impact of AI on human judgment and decision-making. It delves into the challenges and risks associated with AI recommendations and the role of narrative explanations in influencing human trust. The episode also discusses strategies for preserving human judgment in AI relationships and emphasizes the essential role of human judgment in the age of AI. Takeaways AI and Human JudgmentAI Recommendations and Human Decision-Making Chapters 00:00 The Impact of AI on Human Judgment03:03 AI Recommendations and Human Decision-Making11:08 The Role of Narrative Explanations in AI Recommendations17:45 Challenges of AI Explanation and Human Trust19:36 Preserving Human Judgment in AI Relationships20:06 Strategies for Protecting Human Judgment in AI Relationships26:34 The Essential Role of Human Judgment in AI Relationships

  2. 26 Aug

    Episode 9: The Loneliness Tax - Is AI Making Us More Lonely?

    The episode explores the impact of AI on human loneliness, highlighting the decline of social connections, workplace dynamics, psychological effects, and practical steps to combat loneliness. It emphasizes the importance of addressing this issue in the age of AI. Takeaways Loneliness is a growing concern in the age of AIAI's impact on social connections and human interaction Chapters 00:00 The Loneliness Tax04:02 The Decline of Social Connection06:30 The Impact of AI on Workplace Social Dynamics09:22 The Psychological Effects of AI Interaction20:08 The Surgeon General's Report on Social Connection23:27 Practical Steps to Combat Loneliness31:29 Closing Remarks and Call to Action

  3. 19 Aug

    Episode 8: If AI Does The Junior Work, How Do Juniors Become Seniors?

    The podcast episode explores the impact of AI on junior employees and the potential crisis it may create in the future. It discusses the disappearance of entry-level roles, the shift in early career talent, the role of mentoring in leadership, and the leadership crisis and the future of junior developers. Takeaways AI's impact on junior employeesThe need for deliberate mentoring and leadership development Chapters 00:00 The Impact of AI on Junior Employees03:17 The Disappearance of Entry-Level Roles10:02 The Shift in Early Career Talent18:38 The Role of Mentoring in Leadership25:16 The Leadership Crisis and the Future of Junior Developers

  4. 5 Aug

    Episode 7 - AI Adoption or AI Transformation?

    The episode discusses the distinction between AI adoption and AI transformation, highlighting the impact on work design, decision-making, and organizational culture. It emphasizes the need to redefine work relationships, responsibilities, and accountability in the context of AI integration. Takeaways AI adoption vs. AI transformationRedesigning work with AIHuman-AI relationship and collaborationCulture debt and organizational impactKey considerations before adding AI to work Chapters 00:00 Introduction and Keynote Announcement03:16 Global Human Capital Trends Research07:00 AI Adoption vs. AI Transformation12:09 Impact on Work Design20:27 Decision-Making and Accountability23:51 Culture Debt and Organizational Impact29:37 Key Considerations Before Adding AI to Work

  5. 29 Jul

    Episode 6: Is Waterfall Back? With Mike Cohn

    The conversation covers the evolution of Agile and Scrum, the comparison between Waterfall and Agile development, the impact of AI on the dimming cycle, the role of AI in software development, planning, and doing, the cost of change, AI's role in stakeholder interactions, research, and decision-making, AI's self-critique and iterative process, and concludes with key takeaways. Takeaways Evolution of Agile and ScrumImpact of AI on Software Development Chapters 00:00 Introduction to the Podcast01:18 The Evolution of Agile and Scrum02:13 Waterfall vs. Agile Development03:01 The Dimming Cycle and AI05:20 The Impact of AI on Software Development06:35 The Role of AI in Planning and Doing08:36 The Cost of Change and AI09:32 AI's Role in Stakeholder Interactions13:32 AI's Impact on Research and Decision-Making19:11 AI's Self-Critique and Iterative Process22:22 Conclusion and Takeaways

  6. 22 Jul

    Episode 5: AI Is Not a Productivity Tool. It Is a New Operating System

    The podcast episode delves into the impact of AI on organizational structures, value creation, leadership, and decision-making. It explores the shift from effort to coordination, as well as the changing dynamics of planning and learning in the age of AI. Takeaways AI is reshaping organizational structuresLeadership is evolving in the age of AI Chapters 00:00 Introduction and TED Talk Overview02:19 AI's Impact on Value Creation05:27 The Invisible Operating System of Organizations09:44 Hierarchy as a Solution to Complexity16:02 Leadership in the Age of AI22:40 The Shift from Effort to Coordination27:31 Planning vs. Learning in the AI Era

  7. 15 Jul

    Episode 4: The Verification Tax with Hunter Hillegas

    The conversation covers the challenges and opportunities presented by AI tools, focusing on the themes of verification, trust, and productivity. It also explores the impact of improved AI models and the importance of context and specificity in AI development. The conversation concludes with advice for beginners in AI tools and the surprising effectiveness of voice dictation in AI systems. Takeaways The importance of context and specificity in AI developmentThe surprising effectiveness of voice dictation in AI systems Chapters 00:00 Introduction and Appreciation06:15 The Importance of Context and Specificity11:27 The Workflow Process with AI and Human Developers17:13 The Challenge of Verification and Testing22:17 The Challenge of Verification and Testing27:44 Advice for Beginners in AI Tools

  8. 8 Jul

    Episode 3: Shadow AI is Already On Your Team

    The conversation covers a range of topics related to the impact of AI in the workplace, including generational perspectives, leadership responsibility, and the establishment of AI accountability and governance. It emphasizes the importance of balancing transparency and security in the use of AI tools within organizations. Takeaways Shadow AI is already a part of the workplace, and it is essential to establish clear guidelines and accountability for its use.Leadership plays a crucial role in setting the tone for responsible AI use and establishing a balance between transparency and security. Chapters 00:00 Introduction and Podcast Overview09:56 Generational Perspectives on AI17:07 Leadership and Organizational Responsibility25:32 Establishing AI Accountability and Governance32:04 Balancing Transparency and Security

  9. 1 Jul

    Episode 2: Is AI a Team Member?

    The podcast episode features a conversation between Brian and Scott Dunn about the impact of AI on team dynamics and the evolution of work practices. They discuss the challenges of integrating AI into team workflows and the need to reassess agile practices in the age of AI. The conversation highlights the role of management in AI integration and the impact on team cohesion and collective ownership. The conversation delves into the challenges and opportunities of integrating AI into team processes, emphasizing the importance of understanding the purpose behind practices, team ownership, leadership understanding of Agile and AI, and the fundamental shift in teamwork and AI integration. It also highlights the need for reassessing the role of AI in team processes, empowering teams to utilize AI effectively, and reflecting on the evaluation for effective AI integration. Takeaways The impact of AI on team dynamicsReassessing agile practices in the age of AI Understanding the purpose behind practices is crucial for effective AI integrationEmpowering teams to utilize AI effectively is essential for successful implementation Chapters 00:00 Introducing the People Over Prompts Podcast06:10 Transition from Waterfall to Agile11:24 The Role of Management in AI Integration17:20 Team Ownership and Empowerment23:17 Reassessing the Role of AI in Team Processes29:08 Reflection and Evaluation for Effective AI Integration

  10. 24 Jun

    Episode 1: People Over Prompts

    The inaugural episode of the People Over Prompts Podcast introduces the theme of AI's impact on teamwork and the future of work. It explores the mistakes in implementing AI and delves into the implications for teamwork in an AI-assisted world. Takeaways AI's impact on teamwork and the future of workMistakes in implementing AI and implications for teamwork Chapters 00:00 Introducing the People Over Prompts Podcast10:27 Mistakes in Implementing AI19:21 Teamwork in an AI-Assisted World

  • 10 Episodes

About

As AI becomes part of everyday work, teams are facing new questions about trust, judgment, collaboration, creativity, leadership, and ethics. This show looks beyond the tools and prompts to explore what humans still bring to the table - and what teams need to rethink when AI joins the workflow. Hosted by Brian Milner, Certified Scrum Trainer and agile coach, each episode explores how people, teams, and leaders can survive and thrive in an AI-shaped workplace. Through practical conversations with experts, coaches, leaders, and practitioners, People Over Prompts helps teams build better working agreements, stronger human skills, and smarter ways to collaborate with AI. Because the future of work is not just about better technology. It is about better teams.

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