New York’s synthetic performer law may be narrow in scope, but it carries a broad operational warning for marketers: AI-generated people in advertising have become a compliance workflow problem, not a design afterthought.
The law took effect on 9 June 2026, according to Associated Press reporting. Advertisements shown in New York that use AI-generated people in place of actors must now clearly disclose the use of a “synthetic performer”. Penalties reportedly begin at $1,000 for a first violation, rising to $5,000 for subsequent breaches.
According to Luthor, under the law, synthetic performers are defined as digitally created media that appear as real people. In practice, this targets ads where a viewer might reasonably believe the person on screen is a genuine actor, customer, employee, expert, influencer or spokesperson.
Luthor recently delved into the New York Synthetic Performer Law, and what AI advertising disclosure requires.
Many AI creative workflows blur that line, with campaigns combining generated avatars, voice synthesis, motion tools and image models. The compliance test is not whether the creative team regards the figure as an “avatar”, but whether consumers see a person-like figure without a clear label.
There are carve-outs. The law reportedly 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 that feature synthetic performers throughout the underlying work. But exemptions should not become an excuse to skip review, as assets frequently migrate between channels and use cases after creation.
Crucially, the law’s reach extends beyond New York-based firms. National digital campaigns across paid social, programmatic display, search, connected TV and influencer channels will typically reach New York residents unless geographies are deliberately excluded. The measure also sits within a wider regulatory trend, with the FTC’s influencer disclosure guidance and FINRA’s 2026 communications guidance both stressing that disclosures must be hard to miss, easy to understand, and not misleading.
The practical risk is that labels vanish in the wild. Vertical crops remove lower-thirds, platform chrome covers text, dark labels fail on dark backgrounds, and translated versions can drop disclosures entirely. Disclosures should therefore sit within the creative itself, use plain language such as “AI-generated synthetic performer”, and survive desktop, mobile, cropped, muted and translated formats. Metadata, alt text and terms pages are not substitutes.
The right control point is creative intake, not final legal review. Teams should ask whether an asset contains a generated or materially altered person, whether that person is meant to look real, and where the ad will run, then preserve the approved disclosure, placement screenshots and proof the live ad retained its label. Compliance platform Luthor is designed to support exactly this kind of control, routing synthetic performer risk to reviewers and tying evidence to campaigns.
Agencies and vendors also need clear rules, since AI-generated people often enter the pipeline before compliance teams see the asset. Brands may outsource production, but they cannot outsource the defensible review record.
The lesson is not that AI creative is too risky, but that it demands the same controlled workflow regulated marketing teams already apply to claims, testimonials and approvals.
Read the full Luthor post here.
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