What are AI hiring levels in the food industry?
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What are AI hiring levels in the food industry?

By Patrick Scott 07 Oct 2021 (Last Updated October 7th, 2021 15:33)

What are AI hiring levels in the food industry?
Image by Gerd Altmann from Pixabay

The proportion of food manufacturing companies hiring for artificial intelligence-related positions dropped in August, with 20.6% of the companies included in our analysis recruiting for at least one such position.

This latest figure was lower than the 25.8% of companies who were recruiting for posts linked to AI in July 2021 – but an increase compared to the figure of 18.3% for the equivalent month last year.

When it came to the proportion of all job openings that were linked to artificial intelligence, related job postings rose in August 2021, with 0.5% of newly-posted job advertisements being linked to the topic.

This latest figure was a decrease compared to the 0.7% 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, has identified as being a key disruptive force facing companies. 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 food manufacturing companies are currently hiring for artificial intelligence jobs at a rate lower than the average for all companies within GlobalData's job analytics database. The average among all companies stood at 1.6% in August 2021.

Moreover, when comparing AI hiring levels across industries, some 20.6% of the food companies measured by GlobalData were recruiting in this area in August. In the pharmaceutical sector, the proportion stood at 24.1% and in apparel at 56.2%.

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.