When You Should (and Shouldn’t) Have an AI Leader in the C-suite
There’s a growing imperative for companies to take a comprehensive approach to AI–but do you really need a Chief AI Officer in the C-suite for that? Many organizations today think hiring a Chief AI Officer role (or similar) is enough to get ahead of the GenAI curve. While these leaders can help define the AI […]
Fawad Bajwa is a Management Consultant at Russell Reynolds Associates. This post is based on his Russell Reynolds memorandum.
There’s a growing imperative for companies to take a comprehensive approach to AI–but do you really need a Chief AI Officer in the C-suite for that?
Many organizations today think hiring a Chief AI Officer role (or similar) is enough to get ahead of the GenAI curve. While these leaders can help define the AI strategy for the organization, they might not be right for every business. Who you need at the AI helm largely depends on what you want to achieve.
For some organizations, hiring someone in a big AI role might be the best approach. But in this Leadership Labs Insight, Fawad Bajwa, Russell Reynolds’ Global AI Practice Leader, argues it’s worth assessing the different types of people needed for your AI strategy, as well as your organization’s ambition in this space.
Read on to learn how to drive a connected and cohesive approach to AI that goes beyond a ‘one-and-done’ recruitment drive.
