January 23, 2026
Ethan Mollick - The nexus where everything is going to happen is in operations.
AI is no longer just a technology initiative. To unlock real value, organisations must rethink leadership, incentives and ways of working. In this video, you will learn how to turn AI from isolated productivity gains into company wide innovation through a practical model for action.
Why AI needs a new lens
AI has shifted from a technical data science discipline to a hands on tool used across organisations. Treating it purely as a technology project leads companies astray. The real opportunity lies in rethinking people, processes and creativity. Success depends on leadership that sets direction and aligns incentives with a clear vision for an AI enabled future.
Leadership, lab and crowd
The model presented highlights three essentials. Leadership must articulate why and how AI matters. The crowd, meaning employees, should experiment and discover practical use cases. The lab acts as an ambidextrous engine, scaling what works today while exploring what might work tomorrow. Together, they turn experimentation into shared capability.
From individual gains to organisational impact
Many employees already use AI, often quietly, reporting strong personal productivity gains. Without the right incentives and psychological safety, these gains stay hidden. The challenge is to convert scattered improvements into organisational innovation. That requires deliberate effort, willingness to fail and renewed focus on management as a source of competitive advantage.
January 23, 2026
Ethan Mollick - The nexus where everything is going to happen is in operations.
AI is no longer just a technology initiative. To unlock real value, organisations must rethink leadership, incentives and ways of working. In this video, you will learn how to turn AI from isolated productivity gains into company wide innovation through a practical model for action.
Why AI needs a new lens
AI has shifted from a technical data science discipline to a hands on tool used across organisations. Treating it purely as a technology project leads companies astray. The real opportunity lies in rethinking people, processes and creativity. Success depends on leadership that sets direction and aligns incentives with a clear vision for an AI enabled future.
Leadership, lab and crowd
The model presented highlights three essentials. Leadership must articulate why and how AI matters. The crowd, meaning employees, should experiment and discover practical use cases. The lab acts as an ambidextrous engine, scaling what works today while exploring what might work tomorrow. Together, they turn experimentation into shared capability.
From individual gains to organisational impact
Many employees already use AI, often quietly, reporting strong personal productivity gains. Without the right incentives and psychological safety, these gains stay hidden. The challenge is to convert scattered improvements into organisational innovation. That requires deliberate effort, willingness to fail and renewed focus on management as a source of competitive advantage.