The use of artificial intelligence (AI) in the workplace has nearly doubled over the past two years, according to a new survey.
A Gallup study, released Monday, found the share of U.S. employees who say they have used AI in their role a few times a year nearly doubled from 21 percent to 40 percent in the past two years.
More frequent use of AI at work, defined as a few times a week or more by Gallup, also increased from 11 percent to 19 percent since Gallup first measured in 2023.
In the past year alone, daily use of AI doubled from 4 percent to 8 percent, Gallup found.
The findings come amid a broader push to incorporate AI into various industries to boost efficiency and workflow. Various studies show an increasing number of workers are harnessing AI tools at work.
While more workers are embracing the emerging technology, concerns have been raised about its threat to their jobs being altered or eliminated as a result.
Although workplace AI use is increasing, Gallup found employees are no more likely to see themselves replaced by the technology soon. About 15 percent of employees say it is very or somewhat likely that automation, robots or AI will eliminate their job within the next five years, according to the survey.
And only 16 percent strongly agreed the AI tools for their organization are useful for their work.
Gallup further found AI adoption increased primarily among white-collar roles, with 27 percent of white-collar employees reporting frequent use of AI at work. This is a 12 percent increase since last year, Gallup said.
Meanwhile, production and front-line workers reported slightly less frequent AI use from 2023, decreasing from 10 percent to 9 percent this year.
Several employees reported they are using AI without guardrails or guidance, Gallup said. About 44 percent of employees surveyed said their workplace started integrated AI, but only 22 percent said they have not received a clear plan or strategy for this.
The quarterly Gallup workforce study was conducted with self-administered web surveys among a random sample of adults working full-time and part-time for organizations in the United States. The sampling of error varied based on different topics and time frames, Gallup said.
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