AI—Cybersecurity Skill Asymmetries, Kafala Sponsorship, and African Expatriates Career Mobility in a Qatari Context

Akinseye Olatokunbo Aluko (), Gbadebo Odularu (), Henry A. Aluko (), Tripti Saha () and Michael Oyedele Oyenuga ()
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Akinseye Olatokunbo Aluko: Oryx University/Liverpool John Moores University, College of Business and Leadership
Gbadebo Odularu: Howard University, Department of Economics
Henry A. Aluko: York St. John University, School of Business Management and Creativity
Tripti Saha: Oryx University/Liverpool John Moores University, College of Business and Leadership
Michael Oyedele Oyenuga: Woxsen University School of Business

A chapter in Behavioral Cybersecurity and Ethical AI in Relational Economics Context, 2026, pp 427-451 from Springer

Abstract: Abstract Qatar’s labor market is characterized by a structural duality: 95% of its workforce comprises transient expatriates, yet its AI adoption index scores 37% above that of its Emerging Markets (EM) peers. This study integrates Akerlof’s efficiency wage model and labor market segmentation theory with behavioral institutional economics to analyze how Qatar’s dual labor system—governed by the Kafala sponsorship regime—shapes career transitions for African expatriates amid AI-driven cybersecurity opportunities, as articulated in the Qatar National Vision 2030. Consequently, its regression experiment considers the Kafala elasticity and skill premium gradient of African expatriates transitioning to AI-cybersecurity roles in the face of career mobility experiential constraints confronting the African expatriate cohort—a cohort representing 18% of Qatar’s migrant population. This research pioneers the analytical discussion of AI-labor transition economics while offering scalable solutions for GCC knowledge economies within a kafala institutional context.

Keywords: AI—Cybersecurity; Kafala sponsorship; Career mobility; Qatar (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-01214-2_19

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DOI: 10.1007/978-3-032-01214-2_19

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