About
Sixty-eight percent of companies fail to move their AI experiments into production. The problem? It's not the technology – it's leadership.
In this episode, we discuss the five most common leadership mistakes:
1. **The ROI trap** – Measured too early, too narrowly
2. **Delegation instead of leading** – Leadership doesn't use AI themselves
3. **One-size-fits-all training** – Training everyone the same doesn't work
4. **Experts in silos** – Task forces without critical mass
5. **IT bottleneck** – Gatekeepers instead of enablers
More information at: [leadersofai.com](https://leadersofai.com)
Subscribe to our newsletter: [leadersofai.com/newsletter](https://www.leadersofai.com/newsletter)
**Sources:** Deloitte (2024): State of Generative AI in the Enterprise, Q4 2024. [Link](https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/consulting/2024/us-state-of-gen-ai-q4.pdf)
In this episode, we discuss the five most common leadership mistakes:
1. **The ROI trap** – Measured too early, too narrowly
2. **Delegation instead of leading** – Leadership doesn't use AI themselves
3. **One-size-fits-all training** – Training everyone the same doesn't work
4. **Experts in silos** – Task forces without critical mass
5. **IT bottleneck** – Gatekeepers instead of enablers
More information at: [leadersofai.com](https://leadersofai.com)
Subscribe to our newsletter: [leadersofai.com/newsletter](https://www.leadersofai.com/newsletter)
**Sources:** Deloitte (2024): State of Generative AI in the Enterprise, Q4 2024. [Link](https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/consulting/2024/us-state-of-gen-ai-q4.pdf)