Скачать или смотреть 9 Mistakes Leaders Make With AI Strategy

At the 2025 MIT Sloan CIO Symposium, technology and business leaders discussed AI strategy lessons learned. We asked AI experts and award-winning CIOs to share their wisdom on the most common AI strategy mistakes leaders make. Leadership missteps like treating AI as just another tool and moving more slowly than employees in embracing the technology can doom AI initiatives to fail. Get insights on how to avoid these pitfalls in this short video.

Timestamps:
0:00 - Introduction and conference context
0:44 - What leaders were asked
0:50 - George Westerman: Overestimating AI’s capabilities
1:15 - Monica Caldas: More than just a tool implementation
2:16 - Melissa Swift: Idealized work versus real work
2:32 - Thomas H. Davenport: Too much experimentation, not enough production
2:59 - Hannah Mayer: Leaders’ speed versus employees’ speed
3:43 - Dimitris Bountolos: Forgetting the human factor
4:10 - Keri Pearlson: Failing to build cyber resilience
4:54 - Michael Schrage: Not exploring AI’s full capabilities
5:35 - Vipin Gupta: Thinking of AI as technology, not a transformation tool
6:05 - Closing thoughts on AI strategy challenges