Artificial Intelligence, Domain AI Readiness, and Firm Productivity
Sipeng Zeng, Xiaoning Wang, Tianshu Sun

TL;DR
This paper examines how the technological integration of AI within specific domains influences firm productivity, revealing that AI capabilities are most effective when aligned with high domain AI readiness, driven mainly by academic advancements.
Contribution
It introduces a novel measure of domain AI readiness based on patent data and analyzes its impact on firm performance using Chinese firm data from 2016-2022.
Findings
AI benefits are greater in domains with high AI readiness.
Domain AI readiness is mainly driven by academic AI advancements.
External AI integration enhances firm productivity more than strategic pivots.
Abstract
Although Artificial Intelligence (AI) holds great promise for enhancing innovation and productivity, many firms struggle to realize its benefits. We investigate why some firms and industries succeed with AI while others do not, focusing on the degree to which an industrial domain is technologically integrated with AI, which we term "domain AI readiness". Using panel data on Chinese listed firms from 2016 to 2022, we examine how the interaction between firm-level AI capabilities and domain AI readiness affects firm performance. We create novel constructs from patent data and measure the domain AI readiness of a specific domain by analyzing the co-occurrence of four-digit International Patent Classification (IPC4) codes related to AI with the specific domain across all patents in that domain. Our findings reveal a strong complementarity: AI capabilities yield greater productivity and…
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