The Impact of Generative AI and BI on Generation Z Career Motivation and Construction Industry Transitions

F.Henry Abanda (1)
(1) Ecole Nationale Supérieure des Travaux Publics, Cameroon

Abstract

The construction industry is facing a critical transformation driven by the dual pressures of a widening skills gap and a generational disinterest among young professionals. This study investigates how Generative Artificial Intelligence (Gen AI) and Generative Business Intelligence (Gen BI) can serve as catalysts to modernize the sector and align it with the values and technological fluency of Generation Z (Gen Z). Through qualitative interviews with eleven participants, three key findings emerged from the study. First, both Gen AI and Gen BI were found to significantly enhance task efficiency and clarity in construction workflows—Gen AI automated cost and project planning tasks, while Gen BI transformed complex data into intuitive visualizations, improving communication across technical and non-technical stakeholders. Second, exposure to Gen AI and Gen BI elicited short-term enthusiasm and positive career-oriented perceptions. Most participants indicated that these technologies could strengthen their willingness to remain in the construction sector, particularly if employers and training providers offer sustained, structured digital upskilling. Nearly all respondents also expressed a desire to pursue further training in Gen AI/Gen BI to support their continued career development in the industry. More specifically, participants reported enhanced career self-efficacy, clearer perceptions of career pathways, and stronger intentions to remain in or re-enter the construction sector, suggesting that Gen AI and Gen BI influence not only task performance but also career decision-making and professional identity formation. Third, the study emphasized the necessity of educational reform and industry collaboration, advocating for updated curricula, hands-on learning experiences, and targeted rebranding efforts to reshape the public image of construction as a digital and purpose-driven field. The findings suggest that successful digital adoption requires a balanced approach that enhances, rather than replaces, traditional expertise. With thoughtful implementation and sustained commitment to digital transformation, Gen AI and Gen BI can help reposition construction as an attractive, future-ready career path for the next generation.

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Authors

F.Henry Abanda
fonbeyin@gmail.com (Primary Contact)
Author Biography

F.Henry Abanda, Ecole Nationale Supérieure des Travaux Publics

https://orcid.org/0000-0001-9497-5287

Abanda, F. (2026). The Impact of Generative AI and BI on Generation Z Career Motivation and Construction Industry Transitions. Canadian Journal of Career Development, 25(2), 136–163. Retrieved from https://cjcd-rcdc.ceric.ca/index.php/cjcd/article/view/3277

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