Unprecedented Generative AI Use Does Not Guarantee Quick Productivity Gains
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Oliver Wyman Forum Finds Challenges Remain in Training Current and Future Workforces
The report, from
"The adoption rate of generative AI has been nothing short of remarkable," said
Forecasting business impact over the next decade, the report shows generative AI-trained junior employees will climb into management ranks faster than ever before. And senior-level leaders express the greatest levels of concern about losing their jobs to generative AI automation, according to the report.
Key workplace findings from the report are below:
- Developing Countries Ahead:
India leads 16 countries in employee adoption with 83% surveyed reporting daily or at least weekly use of generative AI. By contrast, weekly use by North American and European employees is below 50%. - Explosive Growth Among Pink & Blue Collars: Between June and
November 2023 , generative AI use exploded among white-collar knowledge workers as well as pink-collar workers. Doctors, nurses, and life-sciences employees increased weekly use by 264%. Weekly adoption among pink-collar education employees grew 144%, and blue-collar retail worker use increased by 71%. - Productivity Gains Are Years Away: As many as 20% of employees who report generative AI has not increased their productivity say they are bogged down by corporate guidelines and "unsatisfactory output" which adds review and editing time to projects. The full potential of generative AI's productivity gains is still six to 10 years away, according to the report.
- Generative AI Training Gap: Lack of productivity may be linked to insufficient training. Employees at all levels seek more upskilling than employers currently provide. Among white-collar employees, 80% want more or better AI training, but only 64% currently say they receive it. This gap is wider among pink-collar employees.
- Job Loss Concern: Across the 17 industries and job types studied, 60% of employees express increasing concern their jobs will be replaced by generative AI. Globally, 30% of all job seekers say generative AI is motivating their job search. Employees who worry about AI are 57% more likely to feel their productivity is declining and 78% more likely to believe they don't matter to their employer, according to recent data from the American Psychological Association.
Consumer findings include:
- Bias concerns: In all 16 countries studied, most consumers are concerned generative AI is producing biased content. People are most concerned in
India (92%) and least concerned inFrance (73%) while 83% of US respondents report being are concerned. - Trust is shaken: When asked if organizations using generative AI are untrustworthy, 29% said "yes," with 18% saying generative AI tools "are not trustworthy at all" or "not very trustworthy."
- Privacy, cybersecurity and more: Privacy, cybersecurity and overreliance on generative AI are the top three concerns for over 30% of consumers, but many cited additional worries, including job loss (29%), environmental impact (15%) and mental health (14%).
About the report
Oliver Wyman Forum conducted the survey to enhance its understanding of generative AI, specifically in the context of the workplace, the consumer economy, and risk. The survey was conducted in June and
About Oliver Wyman
View original content to download multimedia:https://www.prnewswire.com/news-releases/unprecedented-generative-ai-use-does-not-guarantee-quick-productivity-gains-302035089.html
SOURCE Oliver Wyman
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