Month: April 2026

Uncertainty—whether from financial crises, pandemics, geopolitical clashes, or sudden technological change—creates pressures that push governments and voters toward protectionist policies. Protectionism surfaces as a response to fear, political incentives, and strategic calculation. This article explains the forces that revive protectionism in bad times, illustrates them with historical and recent cases, examines economic mechanisms and consequences, and outlines policy options that can reduce the temptation to retreat behind trade barriers.Historical pattern and recent examplesProtectionism has long been more than a modern curiosity, exemplified by the 1930s Smoot-Hawley tariffs, when the United States raised duties to shield domestic industries, only to trigger…

Artificial intelligence is no longer a niche technical field; it is a core strategic instrument that reshapes economic power, national security, corporate advantage, and social outcomes. Nations and firms that control advanced models, vast datasets, and concentrated compute resources gain outsized influence. The dynamics of the AI era amplify preexisting strengths — talent, capital, manufacturing capacity — while introducing new levers such as model scale, data ecosystems, and regulatory posture.Financial implications and overall market sizeAI is a significant driver of expansion. While methodologies differ, prominent projections suggest that its worldwide economic influence could reach several trillion dollars before the decade…

Algorithmic systems now make or influence decisions across criminal justice, hiring, healthcare, lending, social media, and public services. When those systems reflect or amplify social biases, they stop being isolated technical problems and become public policy risks that affect civil rights, economic opportunity, public trust, and democratic governance. This article explains how bias arises, documents concrete harms with data and cases, and outlines the policy levers needed to manage the risk at scale.What is algorithmic bias and how it arisesAlgorithmic bias refers to systematic and repeatable errors in automated decision-making that produce unfair outcomes for particular individuals or groups. Bias…