The opportunity for leaders is to harness employee enthusiasm for AI to drive business transformation. This approach will vary by organisation, but here’s how to start:
Identify a Business Problem and Apply AI: Look for efficiency gains across all functions by focusing on specific processes where AI can make a difference. For example, improve customer service by reducing call-handling times or streamline creative development processes as seen with global advertising network Dentsu. Companies like Estée Lauder are using AI to revolutionise product development and enhance customer experiences.
Adopt a Top-Down, Bottom-Up Approach: Successfully moving from experimentation to transformation requires engagement from every level of the organisation, from the CEO to entry-level employees. Enlist business line leaders to rally their teams around AI initiatives. At Microsoft, the rollout of Copilot has been supported by internal champions at all levels who model AI enthusiasm and competence.
Prioritize Training: AI power users are not self-taught; they receive continuous training tailored to their roles. LinkedIn Learning offers a solid foundation, and the Copilot Scenario Library provides role-specific use cases to enhance skills. Training ensures that employees are well-equipped to leverage AI effectively.
We are at a crucial juncture for AI in the workplace. Just as we now look back at the pre-PC era with curiosity, we will eventually look back and marvel at how work was conducted without AI. Already, AI is boosting creativity and productivity while giving job seekers a competitive edge. As we transition from experimentation to tangible business impact, organisations that embrace this challenge will lead the way. In this pivotal moment of tech disruption, fortune favours the bold.