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On Fri, 26 Jul, 4:01 PM UTC
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Using AI at work might actually be harming your productivity -- but it's your bosses fault
AI isn't being used correctly in many workplaces, report claims New research has highlighted a disconnect between how business leaders expect AI to deliver and its true impact on productivity. A recent study by The Upwork Research Institute found most (96%) C-suite leaders anticipate that AI will boost worker productivity, however an alarming three in four (77%) employees report that the technology is decreasing productivity while simultaneously increasing workload. The report's message appears to focus on a lack of trust around artificial intelligence, which is failing to complement human workers let alone replace them. The problem centers around the introduction of generative AI tools into outdated work models. Employees often spend more time reviewing AI-generated content, learning new tools and juggling additional tasks, which is eating into their productive time. Leaders also fail to recognize AI readiness, with 37% believing that their workforce is highly skilled in AI, but only 17% of employees mirroring this thought. Similarly, only one-quarter (26%) of companies were found to have AI training programs, leaving workers will little opportunity to develop their skills. While artificial intelligence may be failing to deliver on productivity promises, its effective deployment is in hot demand. Nearly three-quarters (71%) of full-time employees report feeling burnt out, and two-thirds (65%) struggle with employer expectations. One in three have considered quitting due to overwork. Looking ahead, The Upwork Research Institute says that organizations should rethink how they integrate new technologies, including leveraging freelance talent and co-creating productivity measures with the employees affected. Furthermore, failure to align AI implementation with realistic employee capabilities and needs, which results in decreased productivity, has been directly pinpointed on leaders, and not employees.
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Study shock! AI hinders productivity and makes working worse
Management drank the Kool Aid but staff can't cope with new demands Bosses expect artificial intelligence software to improve productivity, but workers say the tool does the opposite, according to a survey by find-a-workplace research org the Upwork Research Institute, a limb of talent-finding platform Upwork. The survey elicited responses from 2,500 workers across the US, UK, Australia, and Canada. Half of respondents were C-suite execs, a quarter worked full time and the remained were freelancers. Respondents represent different age groups and genders, but all were required to have completed high school and to use a computer for their work at least "sometimes." Findings include that C-suite executives are asking more of workers - 81 percent of 1,250 executive respondents acknowledge as much, according to the survey. Bosses are urging employees to increase their output with the help of AI tools (37 percent), to expand their skill sets (35 percent), take on a wide range of responsibilities (30 percent), return to the office (27 percent), work more efficiently (26 percent), and work more hours (20 percent). The managerial productivity push has left workers feeling unable to cope and burned out. "Seventy-one percent are burned out and nearly two-thirds (65 percent) report struggling with increasing employer demands," according to the survey. "Alarmingly, one in three employees say they will likely quit their jobs in the next six months because they are burned out or overworked." Employees appear to share management's optimism for AI, with 65 percent predicting machine learning will make them more productive. But there's a gap between belief and reality. Some 47 percent of workers who use AI tools say they have no idea how to deliver the expected productivity gains. And more than three out of four workers (77 percent) say AI tools have made them less productive while increasing their workload. Thirty-nine percent of survey respondents said they're spending more time reviewing or moderating AI-generated content, 23 percent said they're investing time learning how to use AI tools, and 21 percent said they're being asked to do more work. "Forty percent of employees feel their company is asking too much of them when it comes to AI," the Institute's summary of the survey states. The report apportions some blame to executives for overestimating employee readiness to adopt AI tools. While 37 percent of C-suite leaders at companies using AI rated their workforce as skilled and comfortable when using AI tools, only 17 percent of employees shared that sentiment. Tellingly, while 96 percent of execs said they see AI tools improving productivity, only 26 percent operate workplace AI training programs, and only 13 percent reported "a well-implemented AI strategy." In the boardroom, AI seems to encourage magical thinking. Meanwhile, in the trenches, 38 percent of staff said they felt overwhelmed by the demand to use AI at work. The Upwork report suggests that AI isn't a simple productivity fix. Rather, organizations need to understand the technology and develop processes that help staff to benefit. "Our research shows that introducing new technologies into outdated work models and systems is failing to unlock the full expected productivity value of AI," wrote Kelly Monahan, managing director of The Upwork Research Institute, in a statement. "While it's certainly possible for AI to simultaneously boost productivity and improve employee well-being, this outcome will require a fundamental shift in how we organize talent and work." Coincidentally, the Institute - part of the Upwork platform for hiring freelance workers - suggests that hiring freelance workers can help. "When compared with full-time employees, more freelancers claim to be AI-ready," the report claims. And if freelancers get burned out, there are always fresh freelancers on the shelf. ®
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Recent studies suggest that the use of AI tools in the workplace might be negatively impacting productivity. The issue stems from poor implementation strategies by management rather than the technology itself.
In an era where artificial intelligence (AI) is being rapidly integrated into various aspects of our work lives, recent studies have shed light on an unexpected consequence: AI might be hindering rather than boosting productivity. This revelation comes as a surprise to many who have championed AI as the ultimate solution for workplace efficiency.
A study conducted by Stanford University and Massachusetts Institute of Technology researchers has uncovered a concerning trend. Despite the promise of increased efficiency, the use of AI tools in the workplace is actually leading to decreased productivity in many cases 1. This phenomenon, dubbed the "productivity paradox," is reminiscent of similar challenges faced during the early days of personal computing.
Interestingly, the study points fingers not at the AI technology itself, but at the way it's being implemented in workplaces. The researchers argue that the fault lies primarily with management strategies. Many organizations are rushing to adopt AI without proper planning or consideration of how it fits into existing workflows 2.
Several factors contribute to this counterproductive outcome:
Experts suggest that for AI to truly enhance productivity, organizations need to:
The tech industry is taking note of these findings. Major AI developers and enterprise software companies are now focusing on creating more intuitive, workflow-integrated AI solutions. However, the onus remains on business leaders to implement these tools thoughtfully and strategically 1.
As AI continues to evolve, it's clear that its success in the workplace will depend not just on the technology itself, but on how well it's integrated into the human-centric environment of modern businesses. The coming years will likely see a shift towards more holistic approaches to AI adoption, with a greater emphasis on human-AI collaboration rather than replacement.
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A recent survey by Upwork highlights the unintended consequences of AI adoption in the workplace. Despite promises of increased efficiency, many employees report longer hours and heightened stress levels.
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Recent research reveals a growing disconnect between executive enthusiasm for AI and employee hesitation, with workers hiding AI use due to fears of being perceived as lazy or incompetent.
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A recent Slack study identifies five AI personality types among office workers, highlighting the challenges and opportunities in AI adoption across different demographics.
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Lattice AI, founded by Jack Altman, proposes integrating AI 'workers' into companies. The concept raises questions about the future of work and AI's role in the workforce.
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A growing number of workers are becoming 'super users' of AI, leveraging tools like ChatGPT and Microsoft Copilot to boost efficiency, develop new skills, and tackle complex tasks at work.
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