Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
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Article Number | 01065 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/bioconf/20248601065 | |
Published online | 12 January 2024 |
AI-Powered Super-Workers: An Experiment in Workforce Productivity and Satisfaction
1 Department of Management and Innovation, National Research Moscow State University of Civil Engineering (NRU MGSU), 26 Yaroslavskoye Highway, Moscow, Russia
2 Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India, 248007
3 Lovely Professional University Phagwara, Punjab, India
4 Assistant Professor, GRIET, Bachupally, Hyderabad, Telangana, India
5 K R Mangalam University, Gurgaon, India
* Corresponding author: leram86@mail.ru
In this paper, "AI-Powered Super-Workers," the revolutionary power of artificial intelligence (AI) on the workforce is empirically shown. Based on real data, the conclusions show significant shifts in work satisfaction and productivity. For example, up to 52% productivity benefits were seen in a variety of professions; one such function was that of a Sales Executive (John Smith, for example), whose productivity rose by 50% after AI integration. Job satisfaction soared, with a significant 46% improvement noted by Employee 1 (John Smith). The 20% boost in skill that Employee 2 (Sarah Johnson) demonstrated highlights the efficacy of AI-driven training. AI use patterns that highlight individual differences in AI adoption include Employee 4 (Emily Brown) using AI for 21 hours. This research may be summarized by the following keywords: AI use, workforce productivity, job satisfaction, skills advancement, and AI integration.
Key words: AI use / skills improvement / job satisfaction / workforce productivity / AI integration
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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