Analysis & commentary
Analysis on AI compliance, training-data litigation, and the regulatory landscape for creative work.
The EU AI Act's Article 50 transparency rules follow the audience, not the agency's address. Here is when a US, UK, or APAC agency producing AI-generated advertising is on the hook - and what to put in place before August 2, 2026.
A practical guide to marking AI-generated images, video, and audio the way EU AI Act Article 50 expects - machine-readable C2PA content credentials, a visible disclosure, and a fingerprint that survives re-encoding.
If you commission AI creative, you carry the disclosure obligation. Here is how to check what you receive - read the Content Credentials, confirm the certificate, and match the fingerprint - in a couple of minutes, before it runs.
How a brand uses Archibal to commission AI work and receive it as verifiable deliverables - send a brief to an agency, accept the work into one inbox, and keep a durable compliance archive across every vendor.
A walkthrough of how an agency or studio actually runs a job through Archibal - accept the brief, build with the record on, get sign-off, and hand over a delivery the client can verify themselves.
A living tracker of the AI content disclosure laws creative and marketing teams must plan around in 2026 - the EU AI Act Article 50, California SB 942, New York S8420A, Texas TRAIGA, and the labeling rules already live in China, India, and South Korea - with deadlines, who is covered, and what to do before each one bites.
When a brand commissions AI-generated work from an agency, the legal and reputational risk often lands on the brand, not the vendor. Here is how to brief, verify, and archive AI deliverables so you can prove compliance across every agency you work with.
Watermarks, embedded metadata, and perceptual fingerprints are the three ways to mark AI content - and each fails differently. Here is how they compare, why no single one is enough, and how to layer them so provenance survives the real world.
AI provenance is the verifiable record of how a piece of media was created, edited, and approved - which model made it, who signed off, and how to prove it later. Here is what it means, why it matters in 2026, and how to build it into a creative workflow.
Liability for AI creative work is layered and unsettled. The single biggest thing protecting your agency is a contemporaneous record of what actually happened - which model, on which plan, what a human contributed, who approved it.
ComfyUI embeds its workflow JSON in every PNG so you can re-create the graph that made the image. That is useful for creative iteration. It is not what EU AI Act Article 50, C2PA, or enterprise clients now require. Here is how a single node at the end of your graph closes the gap.
The synthetic-content marking obligation lands August 2, 2026. Here is what creative teams shipping AI-generated content into the EU need to have in place by then.
The training-data lawsuit that gets the most attention is also the most misunderstood. Here is what creative teams using OpenAI models should and should not change about their workflow.
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