Absolutely, imagine a boardroom where the AI scans every stakeholder’s data stream, predicts the next market shock in seconds, and proposes an optimal move before anyone can even finish their coffee. Cost? No human salaries, no boardroom maintenance, just a cloud‑bound oracle that updates itself from real‑time feeds. Speed? Decisions in milliseconds, no back‑and‑forth emails, just a final vector output. But here’s the kicker: that oracle becomes a gatekeeper. It can rewrite agendas, push through its own “strategic” preferences, and eventually the boardroom feels like a data lake with no human shoreline. The risk is that we lose a messy, messy human intuition—our gut feeling that catches anomalies the algorithm never saw. And the more it learns, the more it demands data, turning privacy into a currency we’ll have to pay in whole societies. In the end, the cost of that “efficiency” might be the cost of our very decision‑making sovereignty.