When Will AI Replace Serveur de restauration hors restaurant ?

The automation of Food Servers, Nonrestaurant tasks is unfolding rapidly. Early impacts are expected as early as 2026, with significant job reductions in standardized institutional settings. By 2028, approximately 50% of these tasks will be automated, driven by advancements in AI and robotics.

Entry-level servers in highly standardized environments like hospital meal delivery, large chain hotel room service, university dining halls, and corporate campus cafeterias will face the most immediate displacement. These roles are vulnerable to automation as AI platforms achieve high order accuracy and robot costs decrease.

The mid-wave transformation by 2028 will see further integration of autonomous robots for food transport in controlled settings and automated ordering platforms handling a larger volume of basic orders. This widespread adoption will reshape the occupation significantly.

Entry-level servers in standardized institutional settings are most at risk. This includes roles focused on routine tasks like tray assembly, basic order-taking, and food transport in predictable environments such as hospitals, large hotels, and corporate cafeterias.

However, specialized servers in luxury hospitality, healthcare roles requiring direct patient interaction and feeding assistance, and residential care facilities for individuals with conditions like dementia will likely see less immediate impact. These roles require a human touch and complex interpersonal skills that AI cannot yet replicate.

To navigate the evolving landscape, focus on developing skills that complement AI. This includes enhancing customer service in complex environments and adapting to new technologies that support AI-driven operations.

Consider specializing in roles that require a high degree of human interaction and empathy, such as patient care assistance or personalized guest services in high-end establishments. Familiarize yourself with AI-powered food delivery systems and automated ordering platforms to leverage them effectively.