AI can play a crucial role in making agrifood more resilient but could lead to increased carbon emissions
AI can play a crucial role in making agrifood more resilient but could lead to increased carbon emissions
et al., Mehran Ghasemlou | AgTechNavigator | May 19, 2025
Artificial intelligence (AI) and machine learning (ML) technologies are offering powerful tools to transform the agrifood system, and new research reveals some of the best opportunities to slash waste, boost crops and enhance shelf life.
Global food demand is expected to jump by 35% to 56% by 2050, but current food production methods have proven unsustainable. Agriculture today consumes about 72% of the world’s freshwater supply and has caused a fivefold rise in fossil fuel use for machinery over the past decades. Meanwhile, almost one-third of the food produced globally is lost or wasted, even as more than 820 million people live with hunger.
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Despite its promise, however, AI brings new risks the food industry must not ignore. Training AI models and running massive datasets require substantial energy, much of which still comes from non-renewable sources like coal and natural gas. This means the very tools designed to make agriculture more sustainable could end up increasing carbon emissions if their energy use is not managed.
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