مجلة الدراسات المالية والمحاسبية والإدارية
Volume 13, Numéro 1, Pages 1-25
2026-06-30
Ai-driven Economic Transformation: Analyzing Productivity Growth And Labor Market Disruption In The Digital Economy
Authors : Redjem Khaled .
Abstract
The integration of artificial intelligence into the global economy represents a fundamental transformation that extends beyond technological adoption to encompass comprehensive restructuring of productivity patterns, labor markets, and economic growth mechanisms. This study analyzes the multifaceted impact of AI-driven economic transformation on productivity growth and labor market dynamics within the digital economy framework. Using a comprehensive mixed-methods approach combining macroeconomic data from 47 countries (2020-2025), firm-level productivity analysis from 2,847 organizations, and labor market surveys covering 156,000 workers across 15 industries, this research examines how AI technologies reshape economic structures and employment patterns. The analysis reveals that AI adoption drives significant productivity gains, with AI-intensive sectors demonstrating 27.4% higher productivity growth compared to traditional sectors. However, these gains are accompanied by substantial labor market disruption, with 40% of global jobs facing potential transformation and 23% experiencing direct displacement risk. The study identifies three distinct phases of AI-driven economic transformation: Initial Adoption (characterized by efficiency gains and task automation), Structural Reorganization (involving business model innovation and skill premium emergence), and Systemic Integration (featuring economy-wide productivity acceleration and new employment categories). Advanced economies experience faster AI adoption rates (67% vs. 34% in emerging markets) but also face greater labor market disruption, with cognitive-intensive roles showing 89% exposure to AI transformation. The research demonstrates that productivity gains from AI integration average 1.5% annually at the macroeconomic level, potentially adding $7.2 trillion to global GDP by 2030. However, these benefits are unevenly distributed, with high-skilled workers experiencing wage premiums of 23-34% while routine cognitive workers face displacement rates of 15-25%. The study contributes to economic literature by providing the first comprehensive framework for understanding AI’s simultaneous productivity enhancement and labor market disruption effects. Policy implications include the need for adaptive social safety nets, comprehensive reskilling programs, and progressive taxation mechanisms to ensure equitable distribution of AI-driven economic gains. The findings suggest that while AI-driven transformation offers unprecedented opportunities for economic growth and productivity enhancement, realizing these benefits requires proactive policy interventions to manage labor market transitions and prevent increased inequality.
Keywords
artificial intelligence ; economic transformation ; productivity growth ; labor market disruption ; digital economy
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