AI Knowhow AI and Change Management: A Practical Playbook for Leading AI Change
16 snips
Jan 5, 2026 Tom Davenport, a renowned thought leader and President's Distinguished Professor at Babson College, dives into the intersection of AI and business transformation. He illustrates how leaders must unlearn outdated practices to embrace AI effectively, stressing the importance of value creation over mere efficiency. Davenport addresses the risks of relying on AI for workforce reduction while advocating for a focus on augmenting human judgment. He also emphasizes the crucial role of HR in navigating the complexities of AI integration and overcoming organizational resistance.
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Reverse-Steering Bike Metaphor
- Destin Sandlin spent eight months learning to ride a bike with reverse steering to go just ten feet.
- Courtney Baker uses this to illustrate how AI requires unlearning entrenched habits to avoid crashing.
People, Not Tech, Are The Real Constraint
- AI adoption struggles are primarily people problems, not technology problems.
- Orchestrating large-scale change is the essential leadership challenge for 2026.
Define 'Agent' Before Measuring Adoption
- The 11% vs 57% gap in reports stems from differing definitions of 'agents'.
- Precise language matters because it separates marketing features from true autonomous agent architecture.
