The Impact of Artificial Intelligence on Labour Migration and Diversity.

Abstract

This study examines the complex effect of Artificial Intelligence (AI) on global labour mobility and workplace diversity in today's global economy. It endeavors to explore how automation and intelligent systems affect global labour mobility as well as the presence of minority and migrant groups in the global work environment. Through a qualitative study approach, it gathers information from comparative cases of developed and emerging economies to ascertain the economic and social effects of embracing AI.
Evidence suggests that while AI raises productivity, efficiency, and innovation, it also promotes job displacement for low-skilled workers and some high-skilled workers. It disproportionately affects migrants and socio-economic groups that are disadvantaged, leading to higher inequality and lower social mobility. Furthermore, AI systems that are developed from biased data sources tend to reinforce existing biases, undermining diversity and inclusion practices in the workplace.
The report proposes the development of ethical and transparent AI systems, inclusive data practices, and large-scale upskilling efforts to train workers in the skills required for the changing labour market. It also recommends the development of strong regulatory frameworks and equitable labour policies that protect poor workers and guarantee balanced participation. These steps can enable societies to reap the highest benefit from AI while reducing the adverse impact of AI on migration and work-place diversity.