This study investigates the relationship between Artificial Intelligence (AI) and innovation inputs in Spanish manufacturing firms. While AI is increasingly recognized as a driver of productivity and economic growth, its role in shaping firms’ innovation strategies remains underexplored. Using firm-level data, our analysis focuses on whether AI complements innovation inputs – specifically R&D and Embodied Technological Change (ETC) – and whether AI can be considered as a Method of Invention, able to trigger subsequent innovation investments. Results show a positive association between AI adoption and both internal R&D and ETC, in a static and a dynamic framework. Furthermore, empirical evidence also highlights heterogeneity, with important peculiarities affecting large vs small firms and high-tech vs low-tech companies. These findings suggest that AI may act as both a complement and a catalyst, depending on firm characteristics.

Arenas Diaz, G., Piva, M., Vivarelli, M., Artificial intelligence as a complement to other innovation activities and as a method of invention, <<ECONOMICS OF INNOVATION AND NEW TECHNOLOGY>>, 2026; (N/A): 1-23. [doi:10.1080/10438599.2026.2682250] [https://hdl.handle.net/10807/339305]

Artificial intelligence as a complement to other innovation activities and as a method of invention

Arenas Diaz, Guillermo
Primo
;
Piva, Mariacristina
Secondo
;
Vivarelli, Marco
Ultimo
2026

Abstract

This study investigates the relationship between Artificial Intelligence (AI) and innovation inputs in Spanish manufacturing firms. While AI is increasingly recognized as a driver of productivity and economic growth, its role in shaping firms’ innovation strategies remains underexplored. Using firm-level data, our analysis focuses on whether AI complements innovation inputs – specifically R&D and Embodied Technological Change (ETC) – and whether AI can be considered as a Method of Invention, able to trigger subsequent innovation investments. Results show a positive association between AI adoption and both internal R&D and ETC, in a static and a dynamic framework. Furthermore, empirical evidence also highlights heterogeneity, with important peculiarities affecting large vs small firms and high-tech vs low-tech companies. These findings suggest that AI may act as both a complement and a catalyst, depending on firm characteristics.
2026
Inglese
Arenas Diaz, G., Piva, M., Vivarelli, M., Artificial intelligence as a complement to other innovation activities and as a method of invention, <<ECONOMICS OF INNOVATION AND NEW TECHNOLOGY>>, 2026; (N/A): 1-23. [doi:10.1080/10438599.2026.2682250] [https://hdl.handle.net/10807/339305]
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