What to do in the year 2026…
Artificial intelligence offers significant efficiency and innovation gains, but it also introduces material risks that require careful governance. Poorly designed or weakly supervised AI systems can amplify bias, erode privacy, and make opaque decisions with real economic and social consequences. As AI adoption accelerates across industries, the central risk is not the technology itself, but the gap between its growing capabilities and the regulatory, ethical, and organizational frameworks needed to control it. Addressing this imbalance is essential to ensure AI remains a tool for progress rather than a source of systemic harm.