AI’s Next Phase in Food Innovation

Food Technology editors interviewed experts across the IFT FIRST Expo Hall to uncover the trends shaping food innovation—and one message came through loud and clear: AI is moving from experimentation to competitive advantage.

Food Technology Magazine

What’s next for AI in food? At IFT FIRST, Food Technology editors spoke with experts across the Expo Hall to find out. One of the strongest trends we identified was the rapid shift from AI as an experimental tool to AI as an everyday collaborator—helping food companies accelerate innovation, uncover insights faster, improve decision-making, and move from reactive to proactive. See how industry leaders are putting AI to work across product development, ingredient innovation, consumer insights, and more.

Key Takeaways

AI is helping food companies accelerate product and ingredient innovation by identifying patterns in large datasets.
Companies are integrating AI across the food value chain and embedding it into existing workflows.
Specialized AI tools are combining research, patent, and industry data to support faster, more informed decision-making.
AI is helping compress ingredient development timelines from years to months in some applications.
Organizations are using AI-powered analytics to better understand consumers, products, and market opportunities.
By bringing disparate data together, AI can help companies shift from reactive problem-solving to proactive planning.