The Impact Of Artificial Intelligence On The Contingent Workforce: Opportunities And Challenges

Abstract

Artificial intelligence (AI) is developing quickly, and it can now perform a variety of tasks that humans can, if not more efficiently. Concerns regarding its effects on employment, particularly for contingent labour, are growing, nevertheless. This research looks at the opportunities and challenges AI brings to this deprived section of the workforce. The study uses thematic analysis to find patterns and insights using secondary data from scholarly publications along with a descriptive method. Results explore how AI can enhance job prospects, efficiency in talent sourcing, reduction of bias, job matching, skill development, and project management. Conversely, the findings highlight potential adverse impacts of AI, including marginalizing contingent worker groups through job displacement, creating job insecurity, raising ethical concerns, issues of surveillance and privacy, widening skill gaps, and reducing workers' bargaining power. The findings underscore the importance of proactive policy measures and strategic investments in training programs to mitigate adverse effects while maximizing the benefits of AI integration. This study contributes to the understanding of AI's dual impact on employment and provides actionable recommendations for policymakers, employers, and stakeholders in navigating the evolving labor landscape.