Artificial Intelligence Literacy and Workforce Readiness in Emerging Economies

Andreas Janson

Artificial Intelligence Literacy and Workforce Readiness in Emerging Economies

Author(s)	Andreas Janson
Country	United States
Abstract	Artificial intelligence is becoming increasingly embedded in organizational processes, professional decision-making, digital services, and technology-mediated work. As adoption expands, workforce readiness depends not only on access to AI tools but also on workers' ability to understand their capabilities, use them appropriately, evaluate their outputs, recognize limitations, and apply ethical judgment. These requirements are particularly significant in emerging economies, where technological transformation may coexist with unequal digital access, heterogeneous educational preparation, limited employer-sponsored training, and substantial differences in organizational capacity. This study examines the relationship between artificial intelligence literacy and workforce readiness through an integrative conceptual framework and a reproducible synthetic simulation. AI literacy is modeled across four progressive levels—foundational, basic operational, applied, and critical-adaptive—while enabling conditions are represented through digital access, training availability, and organizational support. A synthetic population of 5,000 observations is generated for every literacy–support configuration using a fixed random seed. Workforce readiness is represented through a transparent composite model rather than an empirical psychometric instrument. Under moderate support, simulated readiness increases from 47.49 at the foundational AI-literacy level to 72.31 at the critical-adaptive level. However, the analysis also demonstrates that advanced AI literacy alone does not fully compensate for weak institutional support: the critical-adaptive group records a readiness score of 60.08 under constrained support compared with 83.22 under enabling conditions. The study concludes that AI workforce readiness in emerging economies should be approached as a joint human-capital and institutional-capacity challenge. Sustainable readiness requires AI literacy, digital infrastructure, structured reskilling, organizational learning, ethical competence, and opportunities to apply AI meaningfully within occupational contexts.
Keywords	artificial intelligence literacy, workforce readiness, emerging economies, digital skills, reskilling, future of work, human capital, AI competencies
Field	Engineering
Published In	Volume 1, Issue 3, May-June 2019
Published On	2019-05-22

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Artificial Intelligence Literacy and Workforce Readiness in Emerging Economies

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