Content and AI – key findings from Jinfo's recent research
Jinfo Blog

By Anja Chemnitz Thygesen

Abstract

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Here are the themes that have emerged, with links to Jinfo reports that detail the findings:

1. AI is changing the economics of content.
   Traditional licensing models are being challenged, as organisations move from search-based workflows to AI-generated answers. Publishers, aggregators and enterprise users are all adapting - but not always at the same speed.
   
   Read these Jinfo reports:
   
   • "Understanding stakeholder perspectives – AI and licensed content"
   • "On- versus off-platform solutions – AI and licensed content"
   • "Licensing the future: what we learned at the FT and Jinfo in-person session"
     
     
2. Governance only works when users understand it.
   Organisations are moving beyond policies, towards practical guidance, workflow-based learning and information literacy, to help end users make better decisions.
   
   
   • "Training end users in AI – from policy to practice" (Jinfo report)
     
     
3. Trusted information is becoming AI infrastructure.
   The conversation is no longer simply about buying content. Organisations are beginning to recognise that high-quality, governed information underpins reliable AI, better decisions and operational value.
   
   
   • "Content investment for AI – building the foundation for operational value" (Jinfo report)
     
     
4. Enterprise AI is reshaping the supplier ecosystem.
   Content providers are redesigning licensing models around business use cases, rights management and enterprise integration, while aggregators are strengthening their role by bringing trusted content from thousands of publishers into enterprise AI environments.
   
   
   • "Content provider perspectives on AI licensing" (Jinfo report)
     
     

One conclusion stands out across all of this research:

Successful AI initiatives depend less on the AI itself and more on the quality of the information, governance and business context that surround it.

Our next research focus builds on this foundation:

Rather than asking whether organisations should use AI, we'll explore how to identify, prioritise and communicate AI use cases that create business value.

Sign up here for our autumn Community sessions about this topic.

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