With this type of generative AI, food companies can pull together disparate pieces of information — like alerts for global tariffs, expected fungal outbreaks that may require pesticides, or strong winds that could affect moisture levels — and use that data to make more informed decisions about growing and buying key ingredients.

The global food production industry, which is worth an estimated $4 trillion, has the potential to generate $250 billion in annual profits from AI’s productivity potential, as per a 2024 McKinsey & Company report.

For effective implementation, leaders must contend with how to apply AI to complex agricultural systems. 

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Despite these challenges, big food manufacturers — like Land’O Lakes, PepsiCo, and the global agricultural service provider Cargill — are implementing AI to improve farm yields, boost the productivity of food manufacturing plant workers, and ensure deliveries of products like butter, milk, and protein cereal meet anticipated retailer demand.

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