Does AI change everything in data licensing?

Stefan Reichenbach and Debbie Lawrence
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Stefan Reichenbach: London Stock Exchange Group, UK
Debbie Lawrence: Group Head of Data Strategy and Management, UK

Journal of Securities Operations & Custody, 2025, vol. 17, issue 4, 369-376

Abstract: The paper explores the impact of artificial intelligence (AI) on data licensing practices, particularly in the financial services. The authors discuss the rapid emergence of the technology and the resulting pressures on the data providers and looks to answer the question of whether existing data licensing frameworks need a fundamental re-think or can be adapted or maintained. The scope of the paper includes examining the use of market data in the financial markets, highlighting the complexities. The reader can expect to take away a good understanding three distinct types of data licensing (individual, application and redistribution) and the principles underpinning them giving ‘real’ examples to help with that understanding. The paper then goes on to discuss the relationship between AI technologies and the long-established data licensing practices and how at the heart of everything is the use case or how the authors refer to it as the ‘what not the how’. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Keywords: artificial intelligence (AI); data licensing; data monetisation; derived data; algorithmic trading; large language models (LLMs); data aggregators (search for similar items in EconPapers)
JEL-codes: E5 G2 K22 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:aza:jsoc00:y:2025:v:17:i:4:p:369-376

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