
Built for Turbulence Navigating Uncertainty: Learning, Leadership, and AI's Real Role with Jeffrey Rogers
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Oct 8, 2025 In a captivating discussion, Jeffrey Rogers, an expert in organizational learning and futures thinking, challenges outdated leadership frameworks. He emphasizes the shift towards meta-learning, advocating for adaptability in high-uncertainty environments. Jeffrey explores the vital balance between efficiency and experimentation, and offers insights into the complexities surrounding generative AI—not as a mere efficiency tool but a means for rapid prototyping. He also provides practical advice for middle managers navigating leadership disconnection and highlights the importance of shaping preferred futures.
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Adopt A Test-And-Learn Leadership Style
- Adopt an agile, test-and-learn approach to leadership and frameworks rather than rigidly committing to one method.
- Combine and remix tools while orienting decisions around outcomes and revisiting processes frequently.
Scale Local Learning Across The Organization
- Find existing pockets of learning inside your organization and connect and scale them into a broader learning system.
- Change KPIs and incentives to reward experimentation and measure learning, not only short-term performance.
Learning Versus Efficiency Is A Seasonal Trade
- Learning is inherently inefficient and cannot be scaled before you gain reliability and competence.
- Treat efficiency and exploration as complementary seasons: learn first, then scale the proven approach.



