Five leadership mistakes that slow down AI transformation

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)