Artificial Intelligence in Egypt’s Labor Market: Policy Strategies for Sustainable Development by 2030 | ||||
مجلة الشروق للعلوم التجارية | ||||
Volume 17, Issue 17.3, June 2025, Page 154-184 PDF (536.27 K) | ||||
Document Type: المقالة الأصلية | ||||
DOI: 10.21608/sjcs.2025.373539.1187 | ||||
![]() | ||||
Author | ||||
أحمد محمد صدقي خليفة ![]() ![]() | ||||
El-Zohour District | ||||
Abstract | ||||
Artificial Intelligence (AI) is reshaping global labor markets by transforming job structures, creating new economic opportunities, and presenting challenges such as workforce displacement, skill mismatches, and ethical dilemmas. In Egypt, AI holds significant potential to boost productivity, foster innovation, and accelerate progress toward the nation’s Sustainable Development Goals (SDGs) for 2030. However, structural barriers—including digital skill disparities, urban–rural divides, and cultural as well as ethical challenges—hinder equitable AI adoption. This study employs a mixed-methods approach that integrates a comprehensive review of global literature (from seminal studies to recent localized research spanning 2014 to 2024) with quantitative data from reputable institutional reports and qualitative insights from case studies and document analysis. Key findings reveal that although AI-driven job growth in sectors such as fintech has increased by 30%, only 10% of Egyptian businesses have adopted AI, primarily due to prohibitive costs and skill shortages. In addition, demographic pressures and concurrent economic policies are included as control variables in regression models, and sensitivity testing is conducted to assess forecast robustness. Policy recommendations include scalable reskilling programs, targeted rural 5G infrastructure expansion, and culturally sensitive ethical frameworks—all supported by measurable performance indicators and a prioritized implementation timeline. | ||||
Keywords | ||||
Artificial Intelligence; Labor Market; Sustainable Development; AI Policy | ||||
Statistics Article View: 6 PDF Download: 2 |
||||