A study published by the Oxford Internet Institute (OII) found that AI skills and knowledge can increase a worker’s salary by as much as 40%. 

The study, which examined over 1000 different skills and 25,000 workers, found that AI-related knowledge on topics such as machine learning and data science increased the potential salaries that workers earned. 

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However, the findings also examined the relationship between a skill’s value and its likelihood of being combined with other skill sets that a worker has. Skills such as data science were found to be more valuable than photo touching since knowledge of data science was more likely to be combined with other high-value skill sets. 

Fabian Stephany, co-author of this study and research lecturer in AI at OII, spoke to Verdict on what this study means for the future impact of AI on the workplace. 

When asked about the possibility of AI replacing human workers entirely, Stephany was confident that AI would augment work rather than replace people. 

“This [study] is one piece of evidence that suggests AI not replace people on a massive scale, but it will actually be very profitable for people to work with AI,” he stated. 

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Whilst AI wouldn’t completely automate work, Stephany stated that it would instead lead to a wide-scale reskilling of workers. Skills such as machine learning, what Stephany described as “backbone” expertise for AI, were now being used in sectors outside of IT or academia. Instead, workers in the legal or design sectors were now increasingly required to understand AI. 

Stephany concluded: “Right now, we don’t see any indication that AI will lead to half of the labour force being automated away.” 

However, whilst AI may not replace workers, businesses on the lookout for AI talent could soon face difficulties hiring. Around 15% of businesses answered that they had already implemented AI within their work in a 2023 GlobalData survey. 

Fujitsu’s CTO Vivek Mahajan recently spoke on a future “talent crunch” that could be faced within AI due to its growing ubiquity outside of traditional IT roles after his company faced struggles to hire workers with AI skills. 

Citing AI’s sudden and “[speedy]” rollout alongside the high prerequisites that workers need to gain skills in AI (such as higher education), Mahajan stated that AI could soon face a severe shortage of talented workers.