Why High Potentials and High Performers Demand More (Thanks to AI)

Here are the show notes for our latest episode of The AI Moment.In this episode, Jonathan Wagstaffe and I tackle a brewing crisis in the workplace: the widening "AI divide". As AI becomes the ultimate career accelerant, your top talent isn't just working faster—they’re fundamentally changing the expectations they have for their employers.The Talent Split: We’re seeing a "bell curve" in teams where a few "AI whizzes" are motoring ahead, while others remain resistant or stagnant.Productivity Theft: High performers are becoming unofficial tech support, losing their own "deep work" time to help colleagues with prompts and tools.The Progression Leapfrog: High potentials now use AI to radically compress their career timelines and remove complexities that used to take years to master.Retention Risk: If your best people feel slowed down by rigid processes or "laggard" colleagues, they will leave for companies that give them the headspace to innovate.Adopt the "Retain and Train" Model: Don’t just let your experts innovate in a vacuum. Formally protect their time to train the rest of the team.Stop the Overload: Monitor your AI power users to ensure they aren't doing "two jobs"—their own and everyone else’s AI troubleshooting.Run Targeted Workshops: Move beyond general curiosity. Use hackathons or internal "AI Champions" to drive cross-functional adoption.You cannot ignore the divide. To keep your most innovative talent, you must actively bridge the gap between your "AI whizzes" and the rest of the team. If you don't provide a path for high potentials to accelerate with AI, the market will do it for them.Thanks for listening! Remember to subscribe to the newsletter at aimoment.co.uk and ask your own question by emailing [email protected].