Somalia: In Somalia, AI Is Helping Deliver Food to Hungry Families

What the report says

A UN News report distributed by AllAfrica says artificial intelligence is being used to help the World Food Programme target food aid more effectively in Somalia, where hunger has intensified amid drought, flooding, conflict and import-driven price shocks. The story says about 6 million people in Somalia face crisis levels of food insecurity, and that the WFP cannot currently reach everyone in need.

The agency’s HungerMap Live platform pulls together data on food insecurity, weather, markets, agriculture, inflation and related risks to identify areas where conditions are worsening. The updated version, HungerMap Live 2.0, adds predictive tools that can help WFP and partner agencies decide where to send assistance before a situation becomes more severe. The report notes that the system is meant to support, not replace, field assessments.

One example cited is Burhakaba district, roughly 180 kilometres northwest of Mogadishu, where AI-based analysis helped WFP identify urgent need among malnourished children. According to the report, the agency then provided food aid to 48,000 people and nutrition support to 3,000 women and children.

The article also says WFP and FAO recently listed Somalia among their highest-concern “hunger hotspots.” WFP staff cited a funding gap of $192 million through January 2027 and said AI is mainly helping them prioritise limited resources and shorten the time between early warning and response.