The strategist’s role is shifting from a periodic planner to a real-time navigator. As AI accelerates the pace of change in markets, customer expectations, operations, and competition, strategy can’t be something we revisit occasionally and then archive in a slide deck. It must live inside day-to-day management -continuously informed by data, connected to decisions, and actively used to steer outcomes. That is the core idea behind Strategy-Led Performance: strategy is not merely executed; it becomes the operating system for performance. This breakout session focuses on AI as something embedded across the strategy cycle - how strategy is developed, translated into action, monitored, and adapted -rather than AI being the strategy itself. Participants will explore how AI can help organizations stay more proactive by shortening the time between signal and response, improving visibility into performance, and enabling faster, better-informed pivots - while emphasizing responsible use and sound governance so teams don’t confuse speed with progress. What will happen in the session: - Clarify why the old model breaks down: We’ll examine why the “periodic planner” approach struggles in an AI-accelerated environment. - Execution vs. Strategy-Led Performance: We’ll make a clear, usable distinction between traditional “strategy execution” and “strategy-led performance,” including how cadence, measures, and decisions shift when strategy becomes a living system. - Reveal AI integration points across the strategy cycle including strategic planning (faster option generation, stress-testing assumptions, and updating scenarios as conditions change), predictive forecasting (early signals, trend detection, and leading-indicator modeling), risk analysis (identifying emerging risks, quantifying exposure, and monitoring triggers), automated executive reporting and performance visibility (reducing friction, increasing timeliness, and improving consistency), and more