Podcast: Change management in an era of AI disruption
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Podcast: Change management in an era of AI disruption Business school experts discuss the complex challenges managers face with AI implementation, highlighting tensions between speed and readiness, centralization, and efficiency versus trust. Previous tech disruptions offer lessons, but AI’s breadth and speed, affecting knowledge workers’ core skills, make it psychologically harder. The discussion emphasizes the need for rapid adaptation, scenario planning, and a shift in organizational design due to AI’s potential to overcome human cognitive limitations, though boards may not be ready for this scale of change.
- Executives face tensions between the demand for AI implementation speed and workforce readiness, centralizing AI strategy, and balancing efficiency gains with employee trust.
- AI disruption is different from previous waves due to its breadth and speed, impacting knowledge workers’ core reasoning and analytical skills, potentially creating psychological challenges and threatening professional identity.
- Managers must adapt to an unknowable future by sensing and responding rapidly, engaging in experimentation, and thinking in terms of options rather than fixed long-term plans.
- Organizational design is shifting from functions to horizontal flows, enabled by AI, which could lead to flatter hierarchies but raises questions about decision-making and governance.
- The impact on employment remains a major debate, with potential for job erosion, and a key challenge is measuring the actual outcomes of AI implementation beyond activity metrics.
- Dependency on third-party providers for AI infrastructure and platforms creates uncertainty, particularly for SMEs, raising concerns about tech sovereignty.
- The core advantage of companies in the future may lie in their ability to adapt, rather than defending fixed positions, a concept that requires a significant shift in senior management thinking.
- Boards may not be ready for the scale of thinking shift required by AI, with AI strategy sometimes acting as a distraction without substantive adoption or clear outcome measurement. Continue reading https://www.ft.com/content/2b094769-b32d-4c32-86d5-c1a7cef7c4df?syn-25a6b1a6=1
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