AIs Impact on Future Generation
Artificial intelligence (AI) is rapidly transforming the way we live and work, affecting a wide range of industries and job markets. In this research paper, the focus will be on exploring the potential impact of AI on the future of work and the labor market. This study will examine the current state of AI adoption in various industries, the expected growth of AI usage, and the potential consequences of this growth for the job market, including the displacement of certain jobs, the creation of new jobs, and changes in the skill requirements for workers. Additionally, the paper will examine the ethical considerations surrounding AI and its impact on the workforce, including issues such as job loss, income inequality, and the responsibilities of businesses and governments in managing the transition to an AI-powered workforce. The impact of the implementation of artificial intelligence (AI) on workers’ experiences remains under examined. Although AI-enhanced processes can benefit workers (e.g., by assisting with exhausting or dangerous tasks), they can also elicit psychological harm (e.g., by causing job loss or degrading work quality). Given AI’s uniqueness among other technologies, resulting from its expanding capabilities and capacity for autonomous learning, we propose a functional identity framework to examine AI’s effects on people’s work-related selfunderstandings and the social environment at work. We argue that the conditions for AI to either enhance or threaten a worker's sense of identity derived from their work depends on how the technology is functionally deployed (by complementing tasks, replacing tasks, and/or generating new tasks) and how it affects the social fabric of work. Also, how AI is implemented and the broader social validation context play a role. We conclude by outlining future research directions and potential application of the proposed framework to organizational practice. Keywords: Artificial intelligence, complementing tasks, generating tasks, identity threat, meaning of work, replacing tasks, technological change
Authors
- Falisha Lakhani
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-04-05
- DOI
- https://doi.org/10.22214/ijraset.2025.67787
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00