In agriculture, AI is already helping farmers to monitor crop health, tailor the delivery of inputs, and make harvesting more accurate and efficient. In labs, AI is powering experiments in gene editing to improve crop resilience and enhance the nutritional value of raw ingredients. For processed foods, AI is optimizing production economics, improving the texture and flavor of products like alternative proteins and healthier snacks, and strengthening food safety processes too.

[AI] reduces the time and resources needed to experiment with new food products and turns traditional trial-and-error cycles into more efficient data-driven discoveries. Advanced models and simulations enable scientists to explore natural ingredients and processes by simulating thousands of conditions, configurations, and genetic variations until they crack the right combination.

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