The dual role of AI in enhancing and challenging skills, creativity and innovation of Michelin-star chefs

Purpose This study examined the impact of Artificial Intelligence (AI)-driven technological tools in Michelin-starred restaurant kitchens on the general skills, creativity and innovativeness of chefs. Design/methodology/approach Following the qualitative research approach, semi-structured interviews were conducted with 23 chefs working in Michelin-starred restaurants. Findings The findings identify three main areas of impact of AI-driven tools: culinary skills, creativity and innovation. The findings reveal a complex relationship between AI-driven tools and culinary expertise in Michelin-starred kitchens. First, while AI-driven tools have the potential to diminish skills, they also facilitate skill development and knowledge acquisition. Chefs acknowledge AI's potential to expand creativity through new techniques, but also consider AI-driven tools a potential limiter or threat to creativity. They emphasise the need to balance the use of AI-driven tools with traditional skills. Moreover, the dual role of AI as both an enabler and a limiter underscores the need for strategic integration that inspires without compromising the authenticity of haute cuisine. Originality/value The study contributes to understanding how and why AI-driven tools benefit or challenge human skills, creativity and innovation, which can guide Michelin-star restaurants and their chefs in adopting AI technology.

Authors

Institutions

Publication Details

Journal
British Food Journal
Published
2026-02-05
DOI
https://doi.org/10.1108/bfj-11-2025-1521
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The dual role of AI in enhancing and challenging skills, creativity and innovation of Michelin-star chefs

Özkan Demir, Serkan Yi̇ği̇t, Faruk Seyitoğlu
British Food Journal
AI in Service Interactions
article

The dual role of AI in enhancing and challenging skills, creativity and innovation of Michelin-star chefs

Özkan Demir, Serkan Yi̇ği̇t, Faruk Seyitoğlu
article en

Abstract

Purpose This study examined the impact of Artificial Intelligence (AI)-driven technological tools in Michelin-starred restaurant kitchens on the general skills, creativity and innovativeness of chefs. Design/methodology/approach Following the qualitative research approach, semi-structured interviews were conducted with 23 chefs working in Michelin-starred restaurants. Findings The findings identify three main areas of impact of AI-driven tools: culinary skills, creativity and innovation. The findings reveal a complex relationship between AI-driven tools and culinary expertise in Michelin-starred kitchens. First, while AI-driven tools have the potential to diminish skills, they also facilitate skill development and knowledge acquisition. Chefs acknowledge AI's potential to expand creativity through new techniques, but also consider AI-driven tools a potential limiter or threat to creativity. They emphasise the need to balance the use of AI-driven tools with traditional skills. Moreover, the dual role of AI as both an enabler and a limiter underscores the need for strategic integration that inspires without compromising the authenticity of haute cuisine. Originality/value The study contributes to understanding how and why AI-driven tools benefit or challenge human skills, creativity and innovation, which can guide Michelin-star restaurants and their chefs in adopting AI technology.

British Food Journal
Balıkesir University (TR), Mardin Artuklu University (TR), University of Aveiro (PT)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.