Evolution of Technical Workforce with AI: What Future Holds? |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-4 |
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| Year of Publication : 2024 | ||
| Authors : Anubhav Seth | ||
| DOI : 10.14445/22312803/IJCTT-V72I4P103 | ||
How to Cite?
Anubhav Seth, "Evolution of Technical Workforce with AI: What Future Holds?," International Journal of Computer Trends and Technology, vol. 72, no. 4, pp. 24-33, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I4P103
Abstract
Estimated technological progress is expected to have an impact on the workforce, necessitating the need for many individuals to acquire new skills. Artificial Intelligence (AI) has the potential to replace numerous jobs, yet it can also empower workers to perform the tasks of multiple individuals. Advancements in generative AI with sophisticated natural language skills have expanded the potential for automation across a broader range of professions. Although researchers have been analyzing the effects of AI on workforce results for the last twenty years, there is a lack of a comprehensive scholarly overview of this research. This article offers a viewpoint on the future of work and assesses the influence of technological advancements on the workforce with AI. This review is the first of its kind to investigate the connection between AI and different technical workforce results. After conducting a thorough review and analysis of the available literature, we have examined and compared 22 papers from 15 top international journals. This study explores the possible advantages and drawbacks of incorporating AI into different technical fields. Moreover, the document delves into methods for getting the workforce ready for the future influenced by AI, such as education and training programs. This research provides valuable insights into the ongoing discussion about the future of work by examining the opportunities and challenges posed by the changing technical workforce with AI.
Keywords
Artificial Intelligence, Technical skills, Workforce AI, Intelligent systems, AI Implementation, Employees.
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