TY - JOUR
T1 - AI Empowerment of Asian-Australian Migrant Workers
T2 - Progress, Potentials, and Patterns
AU - Shi, Yingnan
AU - Ma, Chao
N1 - Publisher Copyright:
© (2025), (Australasian Association for Information Systems). All rights reserved.
PY - 2025/2/25
Y1 - 2025/2/25
N2 - As Artificial Intelligence (AI), particularly generative AI, becomes integral to organizational practices, its capacity to augment human capabilities presents opportunities and challenges. We focus on the integration of AI into the workplace, emphasizing its impact on Asian-Australian migrant workers—a group frequently transitioning from developing to developed economies and facing unique workplace challenges. We explore how AI may not only enhance job performance and integration by overcoming cultural and linguistic barriers but also influences perceptions of overqualification among these workers. Employing psychological empowerment theory and the information systems fusion framework, alongside time-lag surveys and K-means clustering, we introduce a novel AI empowerment scale and investigate the nuanced effects of AI on immigrant workers. Our findings reveal that while AI-driven psychological empowerment increases technology infusion use and overall job performance, it also underscores significant variations in how different demographic groups experience these benefits, offering new insights into the complex interplay between AI empowerment and employee perceptions. The study advances psychological empowerment and perceived overqualification research by revealing AI’s varied impacts across workforce clusters. It underscores the need to manage AI carefully to avoid workplace inequalities and calls for further exploration of AI’s dynamics in diverse settings.
AB - As Artificial Intelligence (AI), particularly generative AI, becomes integral to organizational practices, its capacity to augment human capabilities presents opportunities and challenges. We focus on the integration of AI into the workplace, emphasizing its impact on Asian-Australian migrant workers—a group frequently transitioning from developing to developed economies and facing unique workplace challenges. We explore how AI may not only enhance job performance and integration by overcoming cultural and linguistic barriers but also influences perceptions of overqualification among these workers. Employing psychological empowerment theory and the information systems fusion framework, alongside time-lag surveys and K-means clustering, we introduce a novel AI empowerment scale and investigate the nuanced effects of AI on immigrant workers. Our findings reveal that while AI-driven psychological empowerment increases technology infusion use and overall job performance, it also underscores significant variations in how different demographic groups experience these benefits, offering new insights into the complex interplay between AI empowerment and employee perceptions. The study advances psychological empowerment and perceived overqualification research by revealing AI’s varied impacts across workforce clusters. It underscores the need to manage AI carefully to avoid workplace inequalities and calls for further exploration of AI’s dynamics in diverse settings.
KW - AI Empowerment
KW - AI-human Collaboration
KW - Artificial Intelligence
KW - Migrant Workers
KW - Technology Adoption
UR - http://www.scopus.com/inward/record.url?scp=86000757039&partnerID=8YFLogxK
U2 - 10.3127/ajis.v29.5189
DO - 10.3127/ajis.v29.5189
M3 - Article
AN - SCOPUS:86000757039
SN - 1449-8618
VL - 29
JO - Australasian Journal of Information Systems
JF - Australasian Journal of Information Systems
ER -