Abstract
This is evident that covid-19 has a devastating effect on businesses and employees worldwide. As we are slowly moving toward retrieval, it is very clear that the business and the way of doing work will change forever in the new normal phase. The experience of Covid-19 has drastically fastened the organization’s digital transformation. Thus, the purpose of our study is to explore the impact of AI-enabled work culture on employees’ satisfaction level post-pandemic. Companies now focus more on data-driven strategies and decision-making, which seems critical today for their business survival and success tomorrow. Few people may argue that technology has always been a part of an organization’s work culture then; what is new? Moreover, the answer will be the overnight shift of work on-site to work from home, leading to a drastic change in the work culture. The situation caused due to covid-19 has forced the employees and organizations to rely fully on technology, which had made the organizations adopt the use of technology as it was never. Organizations today are investing more in digitalization and automation to secure their business ventures in these shifting dynamics. However, how will AI change the dynamics of future work? As the digitalization and use of technology have evolved, AI development has increased the fear of losing their jobs in people’s minds influencing their work satisfaction. Therefore, our paper aims to study the impact of artificial intelligence on the work culture and its effect on employees’ work satisfaction. Moreover, the paper also discusses the related gap found in the skillset of employees and managers to work on AI and other related technologies during the pandemic and the probable solutions. The responses of 150 employees were collected, and the results have concluded that AI-enabled work culture will significantly impact the employees’ work satisfaction post-covid-19.
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Singh, R., Tarkar, P. (2022). Future of Work: How Artificial Intelligence Will Change the Dynamics of Work Culture and Influence Employees Work Satisfaction Post-covid-19. In: Goyal, V., Gupta, M., Mirjalili, S., Trivedi, A. (eds) Proceedings of International Conference on Communication and Artificial Intelligence. Lecture Notes in Networks and Systems, vol 435. Springer, Singapore. https://doi.org/10.1007/978-981-19-0976-4_21
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