New York’s new synthetic performer law may be narrow in scope, but it carries a far-reaching lesson for marketing and compliance teams: AI-generated people in advertising have become a workflow problem, not a labelling afterthought.
The legislation came into force on 9 June 2026, according to Associated Press reporting. Under the law, advertisements in New York that use AI-generated people in place of actors must clearly disclose the use of a “synthetic performer.” Penalties begin at $1,000 for a first violation and climb to $5,000 for subsequent breaches.
According to Luthor, for marketing teams, the message is that this should not be treated as a last-minute label check. The genuine work is operational, identifying synthetic performers early, approving disclosure language, testing every format, and retaining evidence that the final ad was correctly labelled.
Luthor recently delved into the New York Synthetic Performer Law, and what AI advertising disclosure requires.
AP reports that synthetic performers are defined under New York law as digitally created media that appear as real people. In practice, that captures ads where a viewer might reasonably believe the figure on screen is a real actor, customer, employee, expert, influencer or spokesperson. Many AI creative workflows blur this line, with campaigns combining generated avatars, voice synthesis, motion tools and image models. The compliance question is not whether the creative team regards the figure as an “avatar”, but whether the ad presents a person-like figure to consumers without a clear label.
There are carve-outs. AP says the law does not apply to audio-only ads, ads where AI is used solely for translation, or certain ads for films, TV, streaming content and video games featuring synthetic performers throughout the underlying work. But these exemptions should not become a reason to skip review, as assets frequently move across channels and use cases after creation.
The law’s reach extends well beyond New York-headquartered firms. National digital campaigns across paid social, programmatic display, search, connected TV and influencer channels will often reach New York residents unless geography is deliberately excluded. The wider regulatory direction is also unmistakable, with the FTC’s influencer disclosure guidance and FINRA’s 2026 Communications with the Public guidance both stressing communications that are fair, clear and not misleading.
A key operational risk is that disclosures fail to survive the format. Vertical crops can remove lower-thirds, platform chrome can obscure text, captions can be truncated and translated versions can lose labels entirely. Disclosures should appear within the creative itself, in plain language, and remain visible across desktop, mobile, cropped placements, muted video and translations. Metadata, alt text or a terms page are not substitutes.
Luthor is designed to support this kind of control, identifying synthetic performer risk at intake, routing assets to the right reviewer, preserving disclosure decisions and tying final evidence to the campaign. Brands should also impose clear rules on agencies and vendors, who may introduce AI-generated people before compliance teams ever see the asset.
The lesson is not that AI creative is too risky. It is that AI creative demands the same controlled workflow that regulated marketing teams already apply to claims, testimonials, disclosures and approvals.
Read the full Luthor post here.
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