The global mining industry experienced a 5% drop 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 Mining – Hiring Activity in Q3 2022. This compares to a 117% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 12% share of the global mining industry’s artificial intelligence-related total new job postings in Q3 2022, down 13% 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 mining industry in Q3 2022, with new job postings drop by 13% quarter-on-quarter. Miscellaneous Engineers came in second with a share of 5% in Q3 2022, with new job postings drop by 5% over the previous quarter.
The other prominent artificial intelligence roles include Data Scientists with a 4% share in Q3 2022, Database and Network Administrators and Architects with a 4% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Caterpillar, Wartsila, Komatsu and ABB. Together they accounted for a combined share of 15% of all artificial intelligence-related active jobs in the mining industry.
Caterpillar posted 152 artificial intelligence-related new jobs in Q3 2022, Wartsila 145 jobs, Komatsu 141 jobs, and ABB 139 jobs, according to GlobalData’s Job Analytics.
The largest share of artificial intelligence-related new job postings in the mining industry in Q3 2022 was in the US with 45% followed by Canada (13%) and India (10%). The share represented by the US was four percentage points higher than the 41% share it accounted for in Q2 2022.
To further understand the key themes and technologies driving hiring activity in the mining industry, access GlobalData’s latest thematic research reports.
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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.
