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<reference>
ARTIFICIAL INTELLIGENCE ADOPTION, LABOR MARKET RESTRUCTURING, WORKFORCE SKILL TRANSFORMATION, AND PRODUCTIVITY GROWTH IN THE ERA OF THE GLOBAL DIGITAL ECONOMY		 | ACTA INNOVATIONS

This study explores how the concepts of "artificial intelligence (AI) adoption" and "labor market restructuring" are linked to “workforce skill transformation” and “productivity growth” in the context of the global digital economy and a multi-dimensional approach. Building on a thorough review of 30 peer-reviewed articles during the period 2021-2026, this research pulls together empirical, theoretical, and policy-oriented studies to bring together and map the impact of AI technologies on employment structures, skill requirements, and macroeconomic productivity pathways across advanced, emerging, and developing economies. According to the study findings, AI is displacing routine cognitive and routine manual occupations and generating new ones in the cognitive-creative and social labor areas, which are technically and cognitively oriented. Skill transformation is the key variable that stands between them, and today the job skills that have emerged at a premium in the global job market are digital literacy, data analytics skills, critical thinking skills, and adaptability in the workplace. While there is a significant potential payoff of investment in AI for productivity in some advanced and emerging economies, its impact is not uniform by country group and may exacerbate existing structural inequalities and skill gap disparities. The suggestions in the policy recommendations highlight the crucial need for precisely targeted upskilling initiatives, as well as social regulatory frameworks and inclusive AI governance approaches capable of widely distributing the productivity gains of the digital economy. This study proposes a conceptual push of the relationship between AI and labor productivity, incorporating findings from the existing literature, and pin points themes for future studies and research.

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Vol. 60 (2026)

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Published:

2026-04-05

Pages:

351-363

Keywords

Artificial intelligence; labor market; skill transformation; productivity growth; digital economy; employment restructuring; human-AI collaboration; sustainable growth

Copyright

© 2026 Shaikhah Alainati, Fahad Alahmad, Ahmed Al-Hunaiyyan, Rasheedul Haque, Abdul Rahman Bin S Senathirajah

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Articles

DOI: 10.62441/actainnovations.v60i.735

ARTIFICIAL INTELLIGENCE ADOPTION, LABOR MARKET RESTRUCTURING, WORKFORCE SKILL TRANSFORMATION, AND PRODUCTIVITY GROWTH IN THE ERA OF THE GLOBAL DIGITAL ECONOMY

Shaikhah Alainati
1
,
Fahad Alahmad
1
,
Ahmed Al-Hunaiyyan
2
,
Rasheedul Haque
3
,
Abdul Rahman Bin S Senathirajah
4

1

Management Department, College of Business Studies, Public Authority for Applied Education and Training (PAAET), Ardiya, Kuwait.

2

Public Authority For Applied Education and Training (PAAET)

3

School of Management & Business MILA University, Nilai, Malaysia

4

Faculty of Business and Communications, INTI International University, MALAYSIA

Abstract

This study explores how the concepts of "artificial intelligence (AI) adoption" and "labor market restructuring" are linked to “workforce skill transformation” and “productivity growth” in the context of the global digital economy and a multi-dimensional approach. Building on a thorough review of 30 peer-reviewed articles during the period 2021-2026, this research pulls together empirical, theoretical, and policy-oriented studies to bring together and map the impact of AI technologies on employment structures, skill requirements, and macroeconomic productivity pathways across advanced, emerging, and developing economies. According to the study findings, AI is displacing routine cognitive and routine manual occupations and generating new ones in the cognitive-creative and social labor areas, which are technically and cognitively oriented. Skill transformation is the key variable that stands between them, and today the job skills that have emerged at a premium in the global job market are digital literacy, data analytics skills, critical thinking skills, and adaptability in the workplace. While there is a significant potential payoff of investment in AI for productivity in some advanced and emerging economies, its impact is not uniform by country group and may exacerbate existing structural inequalities and skill gap disparities. The suggestions in the policy recommendations highlight the crucial need for precisely targeted upskilling initiatives, as well as social regulatory frameworks and inclusive AI governance approaches capable of widely distributing the productivity gains of the digital economy. This study proposes a conceptual push of the relationship between AI and labor productivity, incorporating findings from the existing literature, and pin points themes for future studies and research.

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Alainati, S., Alahmad, F., Al-Hunaiyyan, A., Haque, R., & Senathirajah, A. R. B. S. (2026). ARTIFICIAL INTELLIGENCE ADOPTION, LABOR MARKET RESTRUCTURING, WORKFORCE SKILL TRANSFORMATION, AND PRODUCTIVITY GROWTH IN THE ERA OF THE GLOBAL DIGITAL ECONOMY.
ACTA INNOVATIONS
,
60
, 351–363. https://doi.org/10.62441/actainnovations.v60i.735

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</reference>

<statements>
1. Rather than generating uniform technological unemployment, AI is driving job transformation, task reconfiguration, and organizational restructuring, with heterogeneous outcomes shaped by sectoral conditions, firm strategies, and institutional frameworks.
2. The net effect is a reconfiguration of job composition and internal labor markets rather than simple elimination of employment.
3. Aggregate impacts of AI-labor substitution on employment and wage growth remain small and difficult to detect at this stage, but restructuring at the establishment and occupation levels is clear.
4. These roles often command wage premia, reflecting scarcity of relevant skills and the strategic importance of AI capabilities for firms.
5. Thus, AI reinforces a polarized labor market in which high-skill jobs expand while many mid- and low-skill jobs decline or become more precarious.
6. Emerging and developing economies, in contrast, often exhibit greater adjustment constraints, including limited digital infrastructure, weaker education and training systems, and larger informal sectors, which can magnify displacement risks and restrict access to high-quality AI-complementary employment.
7. AI-complementary roles increasingly require hybrid profiles that combine technical proficiency with domain expertise and soft skills such as communication and collaboration.
8. Reskilling initiatives must be complemented by social protection reforms that facilitate job transitions and protect workers in non-standard forms of employment.
9. Partnerships between governments, firms, and educational institutions can support more responsive training ecosystems aligned with evolving AI technologies.
10. Third, aggregate employment impacts appear modest so far, but distributional consequences in terms of inequality and polarization are substantial and likely to intensify without supportive institutions and policies.
11. Fifth, policy interventions around education, training, social protection, and AI governance are central in mediating outcomes, suggesting that technological trajectories can be steered toward more inclusive configurations.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.