August 2026 update
Jinfo Blog
4th August 2026
Abstract
Our research started in early spring with a relatively simple question:
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Across interviews, community sessions and research, one conclusion has consistently emerged:"Successful AI initiatives depend far less on the AI itself than on the quality of the information, governance and business context that surround them."
Over the past months we've explored how information managers can help their organisations create business value from trusted information in an AI-enabled world.
This is summed up in the new blog post "Content and AI – key findings from Jinfo's recent research”, with some of the key themes being:
- The commercial model is changing
AI is reshaping how trusted content is licensed, priced and monetised as organisations move from search-based workflows to AI-assisted decision-making. - User adoption requires new capabilities
Policies alone are no longer enough. Organisations are investing in practical AI training, information literacy and workflow-based guidance to help users apply AI responsibly. - AI depends on trusted information
Reliable AI requires more than powerful models – it depends on high-quality content, effective governance and information that can be trusted. - The supplier ecosystem is evolving
Publishers, aggregators and AI providers are redefining their roles through enterprise integrations, rights management and business use case-driven partnerships.
Read this blog item for more detail, and related links.
Our new report, "Content provider perspectives on AI licensing", reinforces the point that the supplier ecosystem is evolving:
- Rather than focusing solely on AI functionality, content providers are increasingly concentrating on rights management, governance, commercial partnerships and practical business use cases.
- AI is changing not only how organisations consume information, but also how trusted content is licensed, delivered and integrated into enterprise workflows.
- For information managers, this represents an opportunity to become key contributors to AI initiatives by helping organisations secure trusted content, navigate licensing, and align AI projects with business objectives.
Read the report now, which includes actions for information managers.
AI use cases
When we return after the summer, our attention will shift from the foundations of AI to its practical application.
Our autumn research and Community sessions will focus on AI use cases – how organisations identify, prioritise and implement AI initiatives that create measurable business value.
Rather than asking whether to use AI, we'll explore where AI can have the greatest impact, and how information professionals can help make those initiatives successful.
Register for the sessions now.
Thank you for your continued engagement, and willingness to share ideas and experiences. July's community session was particularly interactive and useful.
Register for our next Community session:
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AI use cases
22nd September 2026
Latest on our YouTube channel:![]()
Read on the Blog:
July 2026 update
1st July 2026
- August 2026 update
4th August 2026 - Content and AI – key findings from Jinfo's recent research
21st July 2026 - Vendors and AI – integration is creating a new opportunity for aggregators
9th July 2026
- From AI use cases to implementation (Community) 22nd October 2026
- AI use cases (Community) 22nd September 2026
- Stakeholder value and AI: Workshop (Community) 16th July 2026