July 24, 2024 from Canadian HR Reporter
In the era of rapid technological advancement, generative AI is often thought of as the key to enhancing productivity. However, a recent survey conducted by Upwork Research Institute suggests a different reality for many employees. The study, encompassing workers from the U.S., U.K., Australia, and Canada, indicates that AI might be adding to employee workloads rather than alleviating them.
The Survey Findings
According to the survey, a staggering 77% of employees reported that AI tools have increased their workload. Specifically, 39% of employees spend more time reviewing and moderating AI-generated content, while 21% are investing additional time learning to use these new tools. 21% of respondents also mentioned that they are now required to handle more tasks directly due to AI implementation.
Despite these challenges, the corporate outlook on AI remains optimistic. The survey found that 96% of C-suite leaders believe AI will boost overall productivity, and 85% of companies are already incorporating AI tools. However, only 39% are mandating their use, while 46% are encouraging it to enhance productivity.
Employee Struggles and Burnout
The study also highlights a significant disconnect between management expectations and employee experiences. Nearly half (47%) of full-time employees admitted they are uncertain how to achieve the productivity gains their employers expect from AI. Additionally, 40% feel their companies are placing excessive demands on them regarding AI use.
This mismatch comes with substantial consequences. The survey reveals that 71% of full-time employees feel burned out, and 65% struggle with their employers’ productivity demands. One out of every three employees expressed that they are considering leaving their jobs within the next six months due to burnout or excessive workload.
The Path Forward
Kelly Monahan, Managing Director of The Upwork Research Institute, emphasizes the need for change. “Introducing new technologies into outdated work models and systems is failing to unlock the full expected productivity value of AI,” Monahan noted. She advocates for a fundamental shift in how talent and work are organized to truly benefit from AI.
Monahan suggests that to harness AI’s full potential, leaders should develop AI-enhanced work models, leverage AI-ready talent pools, co-create productivity measures with their workforce, and adopt a skills-based approach to hiring and talent development. By doing so, companies can avoid losing critical workers and advance their innovation agendas.
The Upwork survey illuminates the growing pains associated with AI integration in the workplace. While AI holds promise for boosting productivity, the current implementation often adds to employee workloads and stress.
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