The Impact of AI on Job Creation and Skills Demand in the Entrepreneurial Ecosystem: A Bibliometric Analysis

This study explores the impact of artificial intelligence (AI) on job creation, job displacement, and skills demand within the entrepreneurial ecosystem. Using bibliometric analysis, the research identifies key trends, influential authors, and knowledge gaps in current literature. Findings reveal AI’s dual impact on the labor market, where automation displaces certain low-skilled roles while generating new high-skill positions, particularly in data science and machine learning. The demand for a balanced skill set—combining technical abilities with creativity and problem-solving—is increasingly essential in AI-driven entrepreneurial environments. Additionally, AI fosters collaborative innovation, enhancing adaptability and efficiency within businesses. The analysis highlights significant research gaps regarding the long-term implications of AI on job stability and skill evolution, suggesting the need for cohesive studies to guide workforce development and policy-making. This study emphasizes the importance of future research to understand the sustainable integration of AI in employment dynamics, supporting a resilient and adaptable workforce in an AI-centric economy.