While artificial intelligence has already transformed industries in developed nations, researchers are now exploring its untapped potential in fragile territories. A recent study published in Administrative Sciences examines how AI could drive sustainable development in vulnerable regions, using North Lebanon as a case study to understand both the opportunities and challenges ahead.

The research identifies agriculture as the most promising sector for AI implementation in these areas. Smart farming systems can analyze weather patterns, soil conditions, and crop data to help farmers optimize water usage, predict yields, and manage pests more effectively. This precision agriculture approach not only boosts productivity but also reduces environmental impact by minimizing the use of fertilizers and pesticides—critical benefits for regions facing climate variability and resource scarcity.

Beyond farming, AI shows tremendous promise for urban management and disaster preparedness. Cities struggling with rapid population growth can leverage AI-driven traffic systems and data-driven planning tools to improve infrastructure decisions. Meanwhile, predictive analytics can provide early warning systems for natural disasters like floods and droughts, potentially saving lives and reducing economic damage in vulnerable communities.

Despite these opportunities, significant structural barriers persist. Many fragile regions lack the reliable electricity and internet connectivity required for AI systems to function effectively. Financial constraints and evolving regulatory frameworks further complicate adoption, highlighting the need for targeted investment and supportive policies to unlock AI’s potential in these critical areas.

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