Provenance used to sound like metadata.
Increasingly, it affects whether something can participate in the market at all.
In August, ARIA introduced new chart-eligibility rules for recordings involving generative AI.
Wholly AI-generated recordings are not eligible. AI-assisted recordings may be, provided they are substantially human-made and meet the other requirements.
That creates an interesting practical question:
Can you show how the work came to exist?
Standards such as C2PA are tackling an important part of that problem by establishing ways to carry information about the provenance of digital media.
For narrative IP, there is another layer.
Suppose we can establish exactly when and how an image was generated.
Good.
But was the scene it depicts part of approved canon?
Which version of the world informed it?
Was it internal exploration or an approved derivative?
Did the creator have permission to use that character?
Who reviewed it?
Did anything in it subsequently become canon?
That’s narrative provenance.
It connects an artifact not only to the tool that produced it, but to the sources, decisions, permissions and approvals that gave it meaning inside a story world.
That distinction becomes especially useful when several productions, models and licensees are working with the same IP.
Years later, someone should be able to ask:
“Where did this come from?”
And get a better answer than a folder search and somebody’s memory.
Provenance becomes infrastructure when the answer has economic consequences.