The global automotive industry experienced a 31% rise in new job postings related to artificial intelligence in Q3 2022 compared with the previous quarter, according to GlobalData’s according to GlobalData’s whitepaper on Artificial Intelligence in Automotive – Hiring Activity in Q3 2022. This compares to a 69% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 12% share of the global automotive industry’s artificial intelligence-related total new job postings in Q3 2022, down 6% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 12%, emerged as the top artificial intelligence-related job roles within the automotive industry in Q3 2022, with new job postings drop by 6% quarter-on-quarter. Aerospace Engineers came in second with a share of 5% in Q3 2022, with new job postings rising by 98% over the previous quarter.
The other prominent artificial intelligence roles include Maintenance and Repair Workers, General with a 4% share in Q3 2022, Miscellaneous Engineers 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 BAIC BluePark New Energy Technology, Aptiv, Tesla and DANA OFF HIGHWAY PRODUCTS. Together they accounted for a combined share of 176% of all artificial intelligence-related active jobs in the automotive industry.
BAIC BluePark New Energy Technology posted 1,018 artificial intelligence-related new jobs in Q3 2022, Aptiv 319 jobs, Tesla 302 jobs, and DANA OFF HIGHWAY PRODUCTS 234 jobs, according to GlobalData’s Job Analytics.
The largest share of artificial intelligence-related new job postings in the automotive industry in Q3 2022 was in the US with 40% followed by China (18%) and Germany (10%). The share represented by the US was seven percentage points lower than the 47% 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.
