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Research PaperResearchia:202607.22038

Measuring AI innovation with trademark data

C. Castaldi

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 dat...

Submitted: July 22, 2026Subjects: Economics; Environmental Science

Description / Details

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.


Source: arXiv:2607.18795v1 - http://arxiv.org/abs/2607.18795v1 PDF: https://arxiv.org/pdf/2607.18795v1 Original Link: http://arxiv.org/abs/2607.18795v1

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Submission Info
Date:
Jul 22, 2026
Topic:
Environmental Science
Area:
Economics
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