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Home Technology

Employees have yet to see a significant increase in their productivity using AI, study finds

FutureCIO Editors by FutureCIO Editors
September 2, 2024
Image by Firmbee from Pixabay

Image by Firmbee from Pixabay

According to the 2024 Digital Work Trends Report, new research from Slingshot, in collaboration with third-party research firm Dynata, many employees have yet to see a boost in productivity with AI because of how they use the technology.

The research surveyed company leaders and employees, revealing that 63% say they primarily use AI tools to double-check their work.

Dean Guida

“While this, of course, is important, it’s not why employers are implementing AI into the workplace. Employers want teams to leverage AI to save time and drive productivity by using the technology to do initial research for tasks and projects, help employees manage workflows and analyze data, among other things,” said Dean Guida, founder of Slingshot.

AI and the workplace

The report also revealed that employers had implemented AI to support initial research for tasks and projects (62%), to help employees manage their workflow (58%), and to analyse data (55%).

Further, 26% of employees use any time saved in their day with AI for tasks that are not directly related to their primary responsibilities or the company's goals.

Unlocking the potential of AI

“To help employees unlock AI’s potential in the workplace, companies need to offer more formal education programs and training around AI. This should start as soon as employees join the company or as soon as a new tool is introduced. Once employees feel more comfortable with the technology, they’ll be able to look to it for more than just simple tasks and utilise all AI has to offer,” Guida said.

Related:  Industry-first global, 24x7 open MXDR service launched 
Tags: Artificial Intelligenceemployee productivitySlingshot
FutureCIO Editors

FutureCIO Editors

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FutureCIO is about enabling the CIO, his team, the leadership and the enterprise through shared expertise, know-how and experience - through a community of shared interests and goals. It is also about discovering unknown best practices that will help realize new business models.

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