Optimizing Budget Forecasting and Resource Allocation Using AI in Public Sector Contexts

Public sector budgeting has always been an exercise in balancing ambition with constraint. Governments are expected to plan for uncertain futures while remaining accountable for every unit of public money spent. Traditional budgeting processes, often anchored in historical baselines and incremental adjustments, were designed for a slower-moving world. Today, they are increasingly misaligned with the volatility public institutions face, from economic shocks and demographic change to climate risks and public health emergencies. What has begun to change this landscape is the growing use of artificial intelligence and advanced analytics in budget forecasting and resource allocation. AI does not remove the political or ethical dimensions of public budgeting, nor should it. Instead, it offers new ways to surface patterns, test assumptions, and anticipate pressures that were previously difficult to quantify. When applied thoughtfully, AI can help public sector leaders move from reactive budgeting toward more adaptive, evidence-informed financial stewardship.