Anja Chemnitz Thygesen Balancing licensed content: on- versus off-platform
Jinfo Blog

30th April 2026

By Anja Chemnitz Thygesen

Abstract

Much of the discussion around AI still centres on tools, features and rapid progress.

Yet beneath that noise, a more practical – and arguably more consequential – question is taking shape: “Where should licensed content actually sit?”.

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For many organisations, the question of "on-platform" versus "off-platform" is no longer theoretical. It is a daily decision – often made incrementally – about whether to remain within vendor environments, or begin moving content beyond them.

Jinfo looks at this question in our new report "On- versus off-platform solutions – AI and licensed content".

On-platform: contained, visible, manageable – and restricted

On-platform approaches offer a certain kind of reassurance. There is clarity in how content is accessed and used, and a sense that governance is already defined.

In environments where compliance and auditability matter, that structure is not just helpful – it is essential. But it comes with trade-offs that are becoming harder to ignore.

Working within a single ecosystem can limit the use of content. It can restrict the ability to combine sources, connect internal knowledge, or experiment more freely with emerging AI use cases.

This is where off-platform approaches begin to appeal.

Off-platform: flexibility, own workflows, differentiation – and complex

By moving content into internal systems or third-party tools, organisations gain flexibility. They can shape workflows around their own needs, rather than adapting to those of a vendor.

It is here that many start to see the potential for differentiation.

But the shift is not without consequence. Flexibility introduces complexity – often quickly and at scale.

Licensing becomes less straightforward, costs can rise, and the effort required (to manage content properly) increases.

Responsibility also shifts. What was once handled by a provider, now sits internally: governance, compliance, and the risks that come with both.

And then there is the question that proves difficult to answer:

"Where does the value actually sit?"

  • On-platform, usage is relatively easy to track and justify.
  • Off-platform, value becomes embedded within broader processes, harder to isolate and harder still to measure.

It is perhaps for this reason that few organisations are making a clean choice.

Instead, a quieter pattern is emerging:

  • On-platform for control, clarity and lower-risk workflows.
  • Off-platform for flexibility, integration and exploration.

A blend, rather than a decision. It’s not a perfect model – but a pragmatic one.

And for now, that balance may be the most realistic way forward.

To understand the different approaches and our recommendations, read the Jinfo report: "On- versus off-platform solutions – AI and licensed content".

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