When Will AI Replace Scientifiques et Technologues alimentaires ?

The impact of AI on Food Scientists and Technologists is unfolding gradually. While the full automation effect is slated for around 2028, affecting approximately 50% of tasks, the initial wave is already here. Companies are actively deploying AI systems, signaling a critical period for adaptation.

The early wave of automation is hitting junior roles, particularly those involving standardized shelf-life testing, repetitive chromatography analyses (HPLC/GC-MS), and routine safety inspections. These tasks are susceptible to AI systems capable of analyzing food composition from spectroscopic data and predicting spoilage patterns with high accuracy.

By 2028, AI-powered laboratory automation, predictive food chemistry models, and machine learning-driven quality control systems will significantly transform mid-level responsibilities. This includes more advanced analytical testing, comprehensive nutritional analysis, basic formulation work, and compliance documentation, driven by platforms already in use.

Junior food scientists performing standardized shelf-life testing, repetitive chromatography (HPLC/GC-MS), and routine safety inspections face the earliest impacts. Their tasks are highly susceptible to AI systems that can analyze spectral data and predict spoilage with over 95% accuracy.

Senior food scientists specializing in novel ingredient development, complex flavor chemistry, and sensory science requiring human perception are less immediately affected. These areas demand creativity, critical thinking, and nuanced human interaction that AI currently struggles to replicate, positioning them for greater job security and potential salary increases.

To navigate the AI-driven transformation, focus on upskilling in areas less prone to automation. Embrace AI tools and platforms that can enhance your efficiency rather than replace you. Continuous learning and specialization in complex problem-solving will be key.

Leverage AI-powered laboratory informatics like PerkinElmer Signals and Waters NuGenesis Lab Management System. Utilize predictive microbiology tools such as ComBase Predictor. By integrating these technologies, you can augment your capabilities and remain indispensable in the evolving food science landscape.