Are you building game-changing AI solutions? Or just automating low-stakes work that makes the "irrelevant efficient"?

Nigel Vaz, Publicis Sapient's CEO and a digital transformation expert, talked to Meet The Leader to explain why many AI strategies fall short and what's needed to lead teams through technological change. In this episode, Vaz shares the questions that can refine your strategic discussions on AI and help close the gap between AI expectations and results. He also shares why the hardest part of AI transformation isn't the tech but getting the people part right -- and what helps teams transition.

Key Takeaways:

The questions teams you're not asking nearly enough. Vaz explains how to refine your thinking to ensure your solutions aren't locked into yesterday's way of working
The hidden gap that can derail your AI transformation: What separates promising AI experiments from work that actually changes how a business performs? He breaks down the blindspots that hold real innovation back.
Get the people part right. Incentives, expectations and old measures of success can slow AI adoption more than the technology itself. Vaz shares what leaders often underestimate when asking teams to work in a fundamentally new way.
How to learn and unlearn. Your value as a leader will depend on your capacity to learn. He shares how to deploy existing experience for new solutions.

Vaz shares key examples of how to put this thinking to work, including including a legacy modernization project that cut a 10-year timeline to under three and Publicis Sapient's own transition from a people-led services model to a people-and-product enterprise AI company. Learn more about this - including the innovative CEO GPT tool Publicis Sapient built that helps teams scale internal knowledge and context.

About this guest:
https://www.nigelvaz.com/about
https://www.publicissapient.com/

About this episode:
Transcript: https://www.weforum.org/podcasts/meet-the-leader/episodes/ai-transformation-leadership-future-of-work/

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The questions teams you're not asking nearly enough. Vaz explains how to refine your thinking to ensure your solutions aren't locked into yesterday's way of working
The hidden gap that can derail your AI transformation: What separates promising AI experiments from work that actually changes how a business performs? He breaks down the blindspots that hold real innovation back.
Get the people part right. Incentives, expectations and old measures of success can slow AI adoption more than the technology itself. Vaz shares what leaders often underestimate when asking teams to work in a fundamentally new way.
How to learn and unlearn. Your value as a leader will depend on your capacity to learn. He shares how to deploy existing experience for new solutions.

How to Lead People Through AI Change: Qu...