Anotace:
Within the digital age, the transformative potential of artificial intelligence (AI) on the global industrial and economic landscape is unprecedented, making exploring AI’s impact on productivity critical and timely. This study leverages dynamic qualitative comparative analysis (QCA) to decode the intricate effects of AI research on industry productivity, utilizing a comprehensive dataset from the EU KLEMS database and per capita AI research publication counts across 30 countries. Our pioneering approach uncovers the synergistic configurations that catalyze productivity enhancements, offering a dynamic perspective on AI’s evolving role. We highlight the indispensable role of trade openness, AI capital stock, labor cost, technological advancement, and AI research's strategic importance in driving productivity growth. This study emphasizes the criticality of international trade, technology transfer, and innovation as foundational to productivity improvements, revealing distinct pathways to high productivity through unique factor combinations, including the growing significance of AI research intensity. Providing a holistic understanding of AI’s influence on productivity gains, this study delivers critical insights for policymakers and industry stakeholders, advocating for strategies to harness AI for economic and operational excellence. By elucidating the dynamic interplay between AI research, technological innovation, and productivity enhancement, this study significantly enriches the discourse on the role of AI in fostering industrial productivity growth, using a novel methodological approach that melds quantitative precision with qualitative insights to guide future strategic initiatives in the AI-driven economic landscape.