Models like the World Bank’s “Multidimensional Poverty Measure” already analyze factors such as income, nutrition and living conditions. AI can enhance these approaches by incorporating real-time data from mobile networks and social media to predict economic crises or environmental conditions that could exacerbate poverty. AI-powered tools can also optimize resource distribution, ensuring social protection programs reach the most vulnerable effectively.