Episode Summary

In this episode, Sven Smit (Senior Partner, McKinsey) and Anu Madgavkar (Partner, MGI) move past the GenAI hype to discuss their landmark report, Agents, Robots and Us. They argue that organizations are currently stuck in a "Happy AI" phase: using tools to summarize meetings rather than fundamentally rewiring how work happens. The real winners of the next decade won't be the companies with the best tech, but the "fastest learners" who can bridge the gap between human tacit knowledge and agentic speed. From the "plenty" economy to the granular redesign of workflows, this conversation provides a blueprint for leaders to move from experimentation to true scale.

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Key Takeaways

• The Labor Shortage Paradox: In a high-growth economy, automation doesn't lead to unemployment; it fills the gap created by shrinking global demographics.
• The "Shared Skills" Race: Most skills aren't "human-only" or "AI-only", they are shared. Humans must "smart up" to keep pace with agentic logic.
• End-to-End Rewiring: 5% of companies drive 80% of productivity because they redesign entire workflows, not just individual tasks.

Actionable Insights

• Audit Your Learning Velocity: Stop measuring "learning hours" and start measuring "output metrics", what percentage of your work has been touched and improved by AI?
• Move AI out of IT: Shift the AI budget and ownership to business leaders to ensure technology serves the target operating model, not just technical specs.
• Implement "Agent Onboarding": Treat AI agents like interns; embed company ethics, cultural tone, and specific KPIs into their deployment.

About the Speakers

Sven Smit is a Senior Partner at McKinsey & Co. and Co-Chair of the McKinsey Global Institute. He is a leading authority on global economic trends and co-author of A Century of Plenty. Anu Madgavkar is a Partner at the McKinsey Global Institute, where she leads research on labor markets, human capital, and the impact of technology on global workforces.