1️⃣ AI oversight needs sharper judgement INSEAD argues that reasoning models make AI risk less obvious: the problem is no longer only hallucination, but confident logic that can support a wrong conclusion.
💡 Why it matters Leaders need governance that can challenge AI outputs, not just usage rules. Better tools raise the bar for human judgement; they do not remove it.
☕ Coffee talk Who in the room is actually equipped to argue with a very polished wrong answer?
2️⃣ HR has to plan capabilities, not headcount McKinsey’s HR Monitor 2026 says only 11% of organizations take a long-term view of workforce planning, while AI is already shifting tasks and skills.
💡 Why it matters The people function cannot stay as a staffing desk. It has to tell the business which capabilities will matter, where they sit, and what needs to move.
☕ Coffee talk If the plan still starts with vacancies, who is mapping the work that disappears first?
3️⃣ Priorities need money, talent and a stop list HBR’s latest project-economy session puts a simple management test on strategic work: decide what gets time, funding and people, and what should wait or stop.
💡 Why it matters Execution fails quietly when every initiative survives. Senior teams need a portfolio discipline, not another status ritual.
☕ Coffee talk Which project is still alive only because nobody wants the meeting where it dies?