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Measuring AI innovation with trademark data

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Economics > General Economics

arXiv:2607.18795 (econ)
[Submitted on 21 Jul 2026]

Title:Measuring AI innovation with trademark data

View a PDF of the paper titled Measuring AI innovation with trademark data, by C. Castaldi and 4 other authors
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Abstract:Researchers, managers and policymakers are exploring different approaches and data sources to map the development and the diffusion of Artificial Intelligence (AI). In this research note, we illustrate the opportunities offered by trademark data. We argue that AI trademarks can complement AI patents to capture different dimensions of AI innovation. AI trademarks can reveal the extent and ways in which companies exploit AI technologies to develop new goods and services. Importantly, trademark data offer a timely and globally available data source that covers all economic sectors. We present insights from using AI trademarks in an empirical exploration of Italian firms. In our discussion, we reflect on how AI trademarks can be used at different levels of analysis to tackle emerging questions about the development and diffusion of AI.
Subjects: General Economics (econ.GN); Computation and Language (cs.CL)
ACM classes: I.2.7
Cite as: arXiv:2607.18795 [econ.GN]
  (or arXiv:2607.18795v1 [econ.GN] for this version)
  https://doi.org/10.48550/arXiv.2607.18795
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Andrea Fronzetti Colladon PhD [view email]
[v1] Tue, 21 Jul 2026 07:15:42 UTC (5,767 KB)
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