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As artificial intelligence (AI) continues to reshape global supply chain dynamics, understanding how supplier entry by high-tech firms interacts with AI adoption has become a critical pathway for fostering customer innovation. This study develops a theoretical framework that incorporates supplier-side entry, AI-augmented production technologies, and firm-level cost structures, grounded in both production cost and market demand functions. Leveraging a unique panel dataset of 37,631 firm-year observations in China from 2007 to 2023, we employ a difference-in-differences (DID) approach to empirically identify the impact of AI adoption by high-tech suppliers on customer innovation outcomes. Our analysis yields three main findings. (i) After entering customer supply chains, high-tech firms that adopt AI significantly improve the innovation performance of their customer firms. (ii) The effect of AI-enabled supply chain integration is stronger for firms in SME-oriented segments and highly competitive industries, and is mainly reflected in the increase of invention patents. (iii) Mechanism analyses associate AI-enabled supplier entry with lower R&D expenditure per patent application and greater participation in joint innovation alliances, consistent with improved innovation efficiency and interfirm coordination.
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Wang et al. (2026) studied this question.
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