Critical Thinking in the Age of AI

Stories work because they create clarity from complexity, build emotional engagement, and help people process, remember and act on what matters. In business settings, well-crafted stories can accelerate understanding, align teams around an idea, and provoke meaningful action.

Most organizations have adopted AI tools, yet fewer than 40% report meaningful productivity gains. The gap between adoption and genuine improvement is widening.​

Generative AI is transforming how we work, but navigating this shift requires more than technical know-how. It demands thoughtful judgment about when and how to use these powerful tools effectively. ​

AI is already influencing how teams work, make decisions and deliver results. As agency becomes distributed across humans and machines, leadership accountability remains unchanged – but the way leaders exercise that accountability must evolve.

The quality of AI outputs depends significantly on the quality of our input and how we communicate with these tools. Understanding how to craft, verify, and refine prompts effectively is now an essential workplace skill that can dramatically improve productivity and output quality. ​