Artificial Intelligence
Artificial intelligence hiring levels in the pharma dropped in October 2022
The proportion of pharmaceutical companies hiring for cloud related positions rose to a year-high in August 2021, with 42.7% of the companies included in our analysis recruiting for at least one such position.
Among companies included in GlobalData's analysis, 37.4% were recruiting for at least one AI-related position.
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The proportion of pharmaceutical companies hiring for artificial intelligence related positions dropped in October 2022 compared with the equivalent month last year, with 37.4% of the companies included in our analysis recruiting for at least one such position.
This latest figure was lower than the 38.6% of companies who were hiring for artificial intelligence related jobs a year ago and a decrease compared to the figure of 39.8% in September 2022.
When it came to the rate of all job openings that were linked to artificial intelligence, related job postings dropped in October 2022 from September 2022, with 7% of newly posted job advertisements being linked to the topic.
This latest figure was an increase compared to the 3.3% of newly advertised jobs that were linked to artificial intelligence in the equivalent month a year ago.
Artificial intelligence is one of the topics that GlobalData, from whom our data for this article is taken, have identified as being a key disruptive force facing companies in the coming years. Companies that excel and invest in these areas now are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.
Our analysis of the data shows that pharmaceutical companies are currently hiring for artificial intelligence jobs at a rate higher than the average for all companies within GlobalData's job analytics database. The average among all companies stood at 2.9% in October 2022.
GlobalData's job analytics database tracks the daily hiring patterns of thousands of companies across the world, drawing in jobs as they're posted and tagging them with additional layers of data on everything from the seniority of each position to whether a job is linked to wider industry trends.
