New Multiverse analysis has revealed that over two-thirds of people applying AI at work are in roles not traditionally associated with tech, challenging the narrow definition of ‘AI talent’.
In the coming weeks, we'll hear from five of Multiverse's AI apprentices, based in varied jobs around the UK, who are part of this emerging class of AI jobs - the 'invisible' AI workforce.
Using AI to unlock research innovation at the University of Manchester
Academic researcher Dr. Gail Millin-Chalabi has just closed out a project mapping the UK’s wildfires(opens new window).
Having secured a promotion during her AI apprenticeship, in her new role as Head of Digital Reach at the University of Manchester Library(opens new window), she is investigating how AI agents can improve access to the library's world-leading special and digital collections.
Drawing on her AI skills, Gail has also identified innovative solutions to streamline the completion of researchers’ Data Management Plans, a key part of the research lifecycle. This project will enable academics to concentrate on discovery and innovation instead of admin.
Not only will this speed up the pace of research, it will also bolster the university’s ability to attract and retain top academic talent, enhancing its reputation as a top global research institution.
In the analysis, Multiverse found that Higher Education was one of the top five industries with the highest density of AI apprentices, outside of those classified by the ONS as ‘digital industries’.
