CivilsKash
Artificial Intelligence can lead to Agricultural Transformation
A new World Bank –led report “Harnessing Artificial Intelligence for Agricultural Transformation” outlines how AI can be responsibly scaled across agrifood systems, especially in low- and middle-income countries.
The AI-in-agriculture market (~US$1.5 bn in 2023) is projected to reach about US$10.2 bn by 2032.
Alternative credit scoring, AI-based micro-insurance and climate-indexed products can expand formal finance to previously unbanked smallholders. AI has the potential to significantly boost productivity, resilience, and efficiency across agrifood systems. However, to realise these gains, countries must bridge digital infrastructure gaps, strengthen data ecosystems, build farmer-level capacities, and ensure robust governance. Used responsibly and inclusively, AI can complement wider agricultural reforms and support long-term food security, income growth, and environmental sustainability.
The AI-in-agriculture market (~US$1.5 bn in 2023) is projected to reach about US$10.2 bn by 2032.
Alternative credit scoring, AI-based micro-insurance and climate-indexed products can expand formal finance to previously unbanked smallholders. AI has the potential to significantly boost productivity, resilience, and efficiency across agrifood systems. However, to realise these gains, countries must bridge digital infrastructure gaps, strengthen data ecosystems, build farmer-level capacities, and ensure robust governance. Used responsibly and inclusively, AI can complement wider agricultural reforms and support long-term food security, income growth, and environmental sustainability.