The global food service industry experienced a 41% rise in new job postings related to artificial intelligence in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Artificial Intelligence in Foodservice – Hiring Activity in Q3 2022. This compares to a 370% increase versus Q3 2021.
Notably, Fast Food and Counter Workers jobs accounted for a 61% share of the global food service industry’s artificial intelligence-related total new job postings in Q3 2022, up 36% over the prior quarter.
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Fast Food and Counter Workers, with a share of 61%, emerged as the top artificial intelligence-related job roles within the food service industry in Q3 2022, with new job postings rising by 36% quarter-on-quarter. Computer and Information Systems Managers came in second with a share of 5% in Q3 2022, with new job postings rising by 2% over the previous quarter.
The other prominent artificial intelligence roles include Software and Web Developers, Programmers, and Testers with a 4% share in Q3 2022, Data Scientists with a 3% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were AmRest Holdings, DoorDash, University of Texas at Austin Division of Housing and Food Service and Starbucks. Together they accounted for a combined share of 43% of all artificial intelligence-related active jobs in the food service industry.
AmRest Holdings posted 808 artificial intelligence-related new jobs in Q3 2022, DoorDash 82 jobs, University of Texas at Austin Division of Housing and Food Service 58 jobs, and Starbucks 28 jobs, according to GlobalData’s Job Analytics.
The largest share of artificial intelligence-related new job postings in the food service industry in Q3 2022 was in Romania with 72% followed by the US (24%) and Poland (2%). The share represented by Romania was one percentage point lower than the 73% share it accounted for in Q2 2022.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
