The Economics of Artificial Intelligence: A Bibliometric Review
DOI:
https://doi.org/10.69569/jip.2025.666Keywords:
Artificial intelligence, Bibliometric analysis, Human capital, Economics, Sustainability, TechnologyAbstract
Artificial intelligence (AI) has rapidly evolved from a futuristic concept to a robust technology transforming our world. This research explores the economic impacts of AI by analyzing a decade of academic literature from 2015 to 2024. Using a quantitative method called bibliometric analysis, this study maps out the key themes and influential works that have shaped our understanding of AI's economic role. The findings reveal that AI transforms work by reallocating tasks, creating new roles, and complementing human skills rather than just replacing them. Key research areas that have emerged include the importance of building trust in AI systems, utilizing machine learning for improved economic forecasting, and applying AI to address complex societal challenges such as sustainable urban development and supply chain optimization. The study also highlights a growing focus on the ethical dimensions of AI, including fairness and data privacy. This paper concludes that the central question is not whether AI will change our economy, but how we can guide its development. The path forward requires a proactive approach that fosters an environment where AI complements human ingenuity and its benefits are shared widely and equitably across society. This involves creating policies that support lifelong learning, encourage the development of human-centric AI, and ensure that technological progress translates into broad-based prosperity.
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