Exactly this 👇🏻
AI did not 'just' make work faster. It made the best talent impossible to contain. It changed how much great people can get done. Leadership just has not caught up. Your top performers can now do the work of three people. And yet they still work inside systems built for average output. Still needing five approvals to spend $500. Still sitting in meetings where they are the only person adding value. Still measured by hours logged instead of problems solved. So they leave. Not always for more money. For systems that match their capability. If you want to keep them, start here: 1. Reduce approvals for proven performers If someone consistently delivers, stop managing them like they need permission for every decision. 2. Let top contributors opt out of low-value meetings Written updates are often enough. Their time is too valuable to waste on visibility rituals. 3. Review output, not activity The question is no longer who looks busy. It is who actually ships. The winners will not just use better AI tools. They will build environments where AI-amplified people can move at the speed they are capable of. Most companies will call this a talent gap. It isn't. It is a leadership gap. And it is getting wider. --- ♻️ Repost this if more leaders need to rethink how they manage top performers. 🔗 Follow Konstanty Sliwowski for more on leadership, hiring, and high-performance teams.