More workers are using AI, but don't know if their employers are, too - why that's a problem

"Published on Sunday and based on an August survey of over 23,000 US adults, the study found that nearly half (45%) of all respondents now use AI at work at least a few times a year, an increase of 5% from the same time last year. The percentage of workers who report using the technology on a weekly basis also increased (to 23% from 19%), as did those who use it every day (though this increase was less pronounced, to 10% from 8%)."

"More workers than ever are now using AI to assist with various tasks, but in many cases, this is taking place independently of any broader, top-down AI implementation effort. The new Gallup data is the latest evidence to reveal that, in the age of AI, the best strategy may be to give employees the freedom to experiment with and use the tools that best fit their particular roles -- but at the same time, employers should implement some measure of oversight and education."

"Even more surprisingly, nearly one-quarter (23%) said they didn't know if their employer had adopted AI to boost productivity or otherwise improve organizational workflows. The fact that the number of workers using AI at work is roughly equal to the number that don't know whether the technology is being used across their organizations reveals a stark communication gap between employers and employees regarding AI strategy."

An August Gallup survey of over 23,000 US adults found 45% of respondents use AI at work at least a few times a year, up 5 percentage points year-over-year. Weekly AI use rose to 23% from 19%, and daily use increased to 10% from 8%. Nearly 23% of workers said they did not know whether their employer had adopted AI to boost productivity or improve workflows. The parity between users and those unaware of organizational adoption indicates a communication gap between employers and employees. Many employees use AI independently rather than as part of top-down implementations. Employers should balance freedom to experiment with oversight and AI education.

Read at ZDNET