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Hello everyone, and welcome back to the Cognixia podcast. we continue our conversation about Generative AI, this time with a focus on different job roles and how managers can use Generative AI to design better job roles for the organization as well as employees. Organizations do their best to improve employee engagement and keep employee turnover as minimal as possible. But, there is one key metric, or rather a very important attribute that often gets ignored or hasn’t been checked much so far employee burnout. Surveys conducted by Gallup in the United States in 2022 showed that 40% of the employees surveyed reported that the job hurt their mental health and around 30% have shared that they regularly face burnout. About 32% have said that they feel engaged at work while 17% have said that they were actively disengaged. On a global level, the employees’ lack of engagement has been estimated to cost employers roughly $7.8 trillion, which is equivalent to a whopping 11% of the global gross domestic product, according to a report in the MIT Sloan Management Review.
Experts opine that a lot of disengagement and work stress employees go through is rooted in how organizations design job roles for the employees. Decades of extensive research by experts have discovered that poor work design leads to negative employee outcomes – mental strain, high turnover, job dissatisfaction, decreased productivity, impaired learning, etc.
The MIT Sloan research goes on to highlight that quite often, the managers in organizations lack the understanding and insight to design high-quality jobs. With the recent advances in technology, this is a very critical area in which artificial intelligence can help organizations. It can help bridge the knowledge gap among managers and enable organizations to design high-quality work which would be a win-win situation for both the organization as well as the employees, current and potential. But before the managers are empowered to do this, they need to be well-versed in the pros and cons of using Generative AI for work design.
By CognixiaHello everyone, and welcome back to the Cognixia podcast. we continue our conversation about Generative AI, this time with a focus on different job roles and how managers can use Generative AI to design better job roles for the organization as well as employees. Organizations do their best to improve employee engagement and keep employee turnover as minimal as possible. But, there is one key metric, or rather a very important attribute that often gets ignored or hasn’t been checked much so far employee burnout. Surveys conducted by Gallup in the United States in 2022 showed that 40% of the employees surveyed reported that the job hurt their mental health and around 30% have shared that they regularly face burnout. About 32% have said that they feel engaged at work while 17% have said that they were actively disengaged. On a global level, the employees’ lack of engagement has been estimated to cost employers roughly $7.8 trillion, which is equivalent to a whopping 11% of the global gross domestic product, according to a report in the MIT Sloan Management Review.
Experts opine that a lot of disengagement and work stress employees go through is rooted in how organizations design job roles for the employees. Decades of extensive research by experts have discovered that poor work design leads to negative employee outcomes – mental strain, high turnover, job dissatisfaction, decreased productivity, impaired learning, etc.
The MIT Sloan research goes on to highlight that quite often, the managers in organizations lack the understanding and insight to design high-quality jobs. With the recent advances in technology, this is a very critical area in which artificial intelligence can help organizations. It can help bridge the knowledge gap among managers and enable organizations to design high-quality work which would be a win-win situation for both the organization as well as the employees, current and potential. But before the managers are empowered to do this, they need to be well-versed in the pros and cons of using Generative AI for work design.