Post #3122

#English_notes Всем доброе утро! Сегодня поговорим про Adaptive performance. Традиционных метрик (выполнение задач, командная работа) уже не достаточно. По мере того как ИИ меняет работу, ключевым преимуществом становится адаптивная производительность – способность быстро переключаться, учиться, экспериментировать и оставаться эффективным в условиях изменений. Why it matters Companies with high adaptive performance show bigger innovation, stronger returns, and faster adaptation to market shifts. Yet adaptive performance has fallen fastest since 2019, slowing transformations and costing productivity. How AI makes the gap worse — and better Paradox: organizations must adopt AI now, but employees’ capacity to adapt is declining. AI amplifies creativity only when people already have adaptive skills — it doesn’t replace imagination. 🔸Two mindsets around AI Pilots: optimistic, agency-driven, treat AI as a creative partner; they experiment and iterate. 🔸Passengers: pessimistic, risk-averse, use AI only for task completion and miss opportunities. Why adaptive performance is crashing 🔹Innovation fatigue from constant, failed changes. 🔹Psychological fuel depletion (motivation, optimism, agency). 🔹Overfocus on discrete skills rather than adaptive mindset. 🔹Structural incentives that reward predictability over risk-taking. What to do now (practical moves) 🔸Build psychological fuel: communicate purpose, nurture optimism, create small wins. 🔸Train mindsets, not just tools: emphasize experimentation, learning from failure, and creative use of AI. 🔸Change incentives: reward calculated risk, iteration, and learning velocity. 🔸Protect adaptive time: give teams space to prototype, reflect, and reconfigure workflows. Adaptive performance is the switching gear that lets organizations move between stability, collaboration, and disruption. If you want your AI transformation to succeed, develop people’s adaptability first — the tools will follow.