Impact of AI-Driven Automation on Labour Employment: Job Displacement, Job Transformation and Emerging Employment Opportunities
ABSTRACT Artificial Intelligence (AI) and automation are increasingly changing the way tasks are performed in modern workplaces. The adoption of AI-based systems can automate repetitive tasks, support decision-making, improve productivity and create new forms of employment. At the same time, automation raises concerns about job displacement and the ability of workers to adapt to changing skill requirements. Therefore, the impact of AI on employment cannot be understood only in terms of whether jobs are eliminated; it also needs to be examined in terms of job transformation, emerging employment opportunities and changing workforce skills. This research paper examines the perceived impact of AI-driven automation on labour employment, with particular focus on job displacement, job transformation, emerging employment opportunities, productivity and reskilling. The study combines secondary research from recent reports and academic literature with primary data collected through a structured questionnaire. A total of 25 valid responses were obtained using convenience sampling. The collected responses were analysed using descriptive statistics such as frequencies, percentages and response distributions. The survey findings indicate that 48% of respondents agreed or strongly agreed that AI automation could reduce the number of jobs available in the future. At the same time, 72% agreed or strongly agreed that AI would reduce the need for human workers in routine or repetitive tasks. However, 88% of respondents believed that AI automation would create new jobs to some degree. In addition, 60% agreed or strongly agreed that AI automation would increase workplace productivity. The findings also indicate a strong perception that workforce skills will need to change. Eighty-four percent of respondents agreed or strongly agreed that workers would need to learn new skills because of AI automation, while 92% indicated that they would be definitely or probably willing to learn new skills to remain employable. Furthermore, 84% agreed or strongly agreed that governments and organisations should provide training programmes for workers affected by AI automation. Overall, the study suggests that respondents perceive AI automation as both a source of employment disruption and an opportunity for job transformation and new employment. The study does not claim that the 25 respondents represent the entire labour market. Instead, it provides an exploratory assessment of perceptions within the surveyed sample. The findings highlight the importance of reskilling, AI literacy, human-AI collaboration and continuous adaptation in managing changes associated with AI-driven automation. Keywords: Artificial Intelligence, AI Automation, Labour Employment, Job Displacement, Job Transformation, Emerging Employment, Reskilling, Upskilling, Future of Work
Authors
- Srushti Avinash More
Institutions
- University of Mumbai (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-28
- DOI
- https://doi.org/10.5281/zenodo.23007631
- Primary Topic
- Cyberloafing and Workplace Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00