# Building Expertise in the Age of AI As AI transforms the business world, expertise development processes are being reshaped. - **Source:** [McKinsey Insights](https://www.mckinsey.com/insights) - **Published:** 2026-07-14 - **Topic:** [Career Growth](https://brifing.si/c/growth) - **Original article:** - **On Brifing:** https://brifing.si/s/31f9ed5f-5267-4410-af84-cebb8ecd7557 ## AI and Expertise As AI transforms entry-level jobs, organizations need to rethink their approaches to expertise development. This transformation necessitates the integration of knowledge management, role design, learning, and coaching. ## Knowledge Management Effective knowledge management is one of the cornerstones of expertise development. Organizations can optimize knowledge flow to ensure continuous learning and growth among employees. ## Role Design Redesigning roles in the age of AI is critically important. This process facilitates employees' adaptation to new technologies and the development of their expertise. ## Learning and Development Continuous learning is an indispensable part of expertise development. Organizations should provide training programs and resources to help employees acquire new skills. ## Coaching and Mentorship Coaching and mentorship play a significant role in employees' expertise development. Experienced employees can guide the next generation, accelerating knowledge transfer. ## The Experts of the Future Rethinking expertise development processes in the age of AI helps organizations maintain their competitive edge. This approach contributes to the cultivation of future experts. ## Sources covering this story - https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/building-expertise-in-the-age-of-ai-who-trains-the-next-generation — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._