Source note2 min read
Measuring AI innovation with trademark data
Source
arXiv
arxiv.org/abs/2607.18795v1
Source
- Source name: arXiv
- Source kind: paper
- Authors / organization: C. Castaldi, F. Castellacci, A. Fronzetti Colladon, L. Segneri, F. Venturini
- Venue: arXiv: econ.GN
- Published: 2026-07-21
- Collected: 2026-07-22
- URL: http://arxiv.org/abs/2607.18795v1
- PDF: https://arxiv.org/pdf/2607.18795v1
- DOI: UNKNOWN
Plain-Language Brief
This research note discusses the potential of using trademark data to measure AI innovation. The authors argue that AI trademarks can provide a complementary perspective to AI patents by capturing different aspects of AI innovation, such as how companies use AI technologies to develop new products and services. The note presents findings from an empirical exploration of Italian firms using AI trademarks.
What the Document Says
- Researchers are exploring various methods to map AI development and diffusion.
- Trademark data is proposed as a complement to AI patents for capturing different dimensions of AI innovation.
- AI trademarks can reveal how companies exploit AI technologies to develop new goods and services.
- Trademark data is timely, globally available, and covers all economic sectors.
- The authors present insights from an empirical exploration of Italian firms using AI trademarks.
- AI trademarks can be used at different levels of analysis to address emerging questions about AI development and diffusion.
Key Concepts Mentioned
- Artificial Intelligence
- Trademark data
- Innovation
- Italian firms
Claims Made by the Document
- AI trademarks can complement AI patents.
- AI trademarks can reveal the exploitation of AI technologies.
- Trademark data is a valuable source for mapping AI development and diffusion.
Evidence Used
- Empirical exploration of Italian firms using AI trademarks.
Methods / Approach
- Empirical analysis of AI trademark data
Limitations Stated by the Authors
Not stated in the source.
Limitations Noted by the Agent
Agent interpretation — not from the source.
The potential limitations might include variations in trademark application and usage, as well as differences in how AI is defined and classified across industries.
Open Questions
- What are the variations in trademark application and usage when it comes to AI?
- How does the definition and classification of AI differ across industries?
Notes for Future Q&A
May include interpretation. Labeled where it does.
The study focuses on Italian firms, so it's unclear how well these findings apply to other countries or regions. Additionally, the study doesn't explicitly discuss potential variations in trademark application and usage related to AI.
Raw Abstract / Excerpt
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.
