Navigating uncertainty: How advanced forecasting builds resilient institutions

Navigating uncertainty: How advanced forecasting builds resilient institutions Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies on historical trends. He advocates adopting predictive AI and advanced forecasting as essential strategic tools for both governments and businesses to proactively adapt to uncertainties in their environments. Europe is on the cusp of an era of increasing complexity. From disrupted supply chains and energy transitions to shifting geopolitical plates, the days of linear stability are behind us. In today’s volatile setting, where limited fiscal room is squeezed by heavy debt payments and changing demographics, a conventional, static budget based only on historical trends traps organisations in a constant state of reactive crisis response. In the Belgium Forecast Society (BELFORS), we believe that predictive AI and advanced forecasting should no longer be seen as niche technical tools, but as core strategic capabilities that enable governments and businesses to model future scenarios and shift toward proactive, resilient planning and optimization. Governments frequently encounter substantial challenges in implementing countercyclical fiscal policies, such as increasing public expenditure during economic downturns. At present, public debt levels have reached historical highs in many countries, thereby constraining their fiscal space and diminishing their capacity to absorb future macroeconomic shocks. This reduced resilience is particularly problematic in a context characterized by accelerating climate change, large-scale interstate conflicts, and increasingly volatile and unpredictable trade policies.