Artificial Intelligence and the Development of New Quality Productive Forces: Multidimensional Fit,Dual Impact,and Policy Implications
With the rapid development of artificial intelligence (AI) and the urgent need for the development of productive forces, exploring the relationship between AI and the development of new quality productive forces is an important issue that needs to be solved in theory and practice. This paper focuses on the relationship between AI and new quality productive forces, aiming to analyze the impact of AI on new quality productive forces and propose corresponding policy recommendations.Through literature review and theoretical analysis, this paper finds that there is a multidimensional fit between the three basic elements of AI—field structure, machine learning, and data generation, and the three basic elements of new quality productive forces—workers, means of labor, and subjects of labor. Specifically, the field structure serves as the execution carrier of AI, just as workers are to productive forces; machine learning functions as a processing tool of AI, just as how means of labor supports productive forces; data are the fundamental raw material of AI, just as the subjects of labor are to productive forces. Furthermore, based on the application examples of AI worldwide, the study finds that AI has both positive and negative impacts on the development of new quality productive forces. On the one hand, AI can cultivate high-quality workers by upgrading their skills, create new quality means of labor by innovating traditional production modes, and shape new quality subjects of labor by expanding boundaries and exploring value, thereby promoting the development of new quality productive forces. On the other hand, AI also brings inclusive issues such as skill differences, technological gaps, and challenges posed by novel economic phenomena.Compared to previous literature, this paper has made significant extensions in two aspects: firstly, it not only focuses on the correlation between AI and new quality productive forces but also demonstrates the multidimensional fit between the two, which deepens our understanding of the relationship between the two and provides a new perspective for understanding how AI affects the development of new quality productive forces; secondly, this paper not only analyzes the positive impact of the development of AI on various elements of new quality productive forces but also focuses on the inclusive issues arising from it. On this basis, this paper proposes targeted policy implications to maximize the positive impact of AI on the development of new quality productive forces, while minimizing the inclusive issues it brings. This comprehensive analysis of the dual impacts and policy responses can provide valuable references for formulating development policies of productive forces in the era of AI.This paper emphasizes that original and disruptive technological innovation such as AI is the core element for cultivating and developing new driving forces of new quality productive forces. However, in the current era of rapid development of AI, balancing technological innovation with social inclusion and achieving sustainable development is a key challenge facing us. We should aspire to a vision that can fully tap into the potential of AI while also taking into account the broad social welfare.