Over 60% of US brands now use or plan to use AI-generated talent in advertising. New York’s Synthetic Performer Disclosure Law changes the legal stakes dramatically — and most compliance teams aren’t ready for it.
What the Law Actually Requires
Passed as an amendment to New York’s Arts and Cultural Affairs Law, the Synthetic Performer Disclosure Law targets a specific and growing practice: using digitally created or AI-replicated human likenesses in commercial advertising without consent or consumer disclosure. It applies to synthetic performers — AI-generated humans, deepfake likenesses, digitally cloned voices, and replicated personas — used in paid media.
The core obligations break into two lanes. First, consent: if you’re replicating a real person’s likeness or voice using AI, you need documented, written consent from that individual before the ad goes live. Second, disclosure: consumers must be informed when a performer in an ad is synthetic. That disclosure can’t be buried in a footer or hidden in a terms page — it needs to be visible within the creative itself.
The law also carves out liability that lands directly on the brand or the contracting advertiser, not just the production vendor. That matters. If your AI vendor delivers a synthetic spokesperson and your legal team signed off on the creative without verifying consent documentation, the brand is exposed.
The New York law explicitly places liability on the contracting advertiser — meaning brands cannot outsource their compliance risk to AI vendors or production studios.
Who’s Actually Affected
Scope is broader than most teams initially assume. Consider the use cases now commonplace in mid-to-large brand campaigns:
- AI-generated brand ambassadors or spokespeople who don’t exist as real people
- Digitally de-aged or altered versions of real talent
- Voice clones of real actors or influencers used in audio ads
- Virtual influencers operated by brands (like Lil Miquela-style personas)
- Synthesized background performers used to avoid casting costs
Each of these triggers different compliance considerations under the law. Fully synthetic (non-real) personas have no consent requirement since there’s no actual person to consent. But the disclosure requirement still applies. Real-person replication — even partial, like a voice clone — requires both consent and disclosure.
If your brand runs campaigns in New York media markets (which, for national advertisers, is essentially every major campaign), this law applies to you regardless of where your company is headquartered. The jurisdictional hook is distribution, not domicile.
The Consent Documentation Framework
Getting consent right is more operationally complex than it sounds. Generic talent release forms won’t cover AI replication. Your legal team needs to ensure contracts address three specific areas:
- Scope of replication: What specifically can be replicated — likeness, voice, mannerisms, or all three?
- Duration and exclusivity: Is the synthetic version of this person licensed for one campaign, one year, or in perpetuity?
- Revocation rights: Under New York law, talent retains certain rights to revoke consent under defined conditions. Your contracts need to address what happens operationally if consent is revoked mid-campaign.
Brands working with real talent on AI-enhanced campaigns should revisit their existing agreements now. Standard talent contracts written before AI replication became operationally viable almost certainly don’t include these provisions. For more on updating contract language, the AI remix clauses framework is a strong starting point for your legal team.
SAG-AFTRA’s existing AI agreements, which major studios have already negotiated, provide a useful structural reference — even for brands that aren’t signatory to those agreements. The SAG-AFTRA framework establishes precedent for what “meaningful consent” looks like in AI talent contexts.
Disclosure Execution: Where Teams Get It Wrong
Most teams understand they need a disclosure. Few execute it correctly.
The law requires that disclosure be “clear and conspicuous.” In practice, that means it can’t be in 6-point font, it can’t run only in a final-frame super, and it can’t rely on a platform’s native label (like Meta’s AI-generated content tag) as a substitute for brand-side disclosure. Your creative team needs to build disclosure into the ad itself — not bolt it on afterward.
Platform labels help but don’t satisfy the legal requirement independently. YouTube’s AI content labels and Meta’s synthetic media labels are designed for platform policy compliance. They don’t fulfill your statutory disclosure obligation under New York law. For a detailed breakdown of how platform labels interact with disclosure requirements, see the guide on YouTube AI labels and brand workflows.
Formats that work: a visible “AI-generated performer” text overlay during the opening seconds of video creative, an audible disclosure in radio or audio ads (“The spokesperson in this ad is AI-generated”), or a persistent visible disclaimer in static display ads. The FTC’s existing guidance on clear and conspicuous disclosures, available at ftc.gov, provides a useful benchmark for what “conspicuous” means in practice.
Ops Workflow: Building This Into Campaign Production
Compliance can’t be a final legal review step. It needs to be embedded at the brief stage.
Here’s a practical production gate model:
- Brief stage: Flag any AI talent use. Identify whether the synthetic performer is fully generated or based on a real person. Assign a compliance owner.
- Pre-production: Collect and verify consent documentation before any generation or recording begins. Do not proceed without it.
- Production: Build disclosure language into creative specs. Treat it like a legal super — non-negotiable, not subject to creative override.
- Legal review: Confirm consent docs are complete, disclosure is present and conspicuous, and distribution markets are mapped.
- Post-launch: Monitor for consent revocation. Have a documented process for pulling or modifying creative if consent is withdrawn.
This model mirrors the responsible AI governance framework that leading marketing teams are building across their AI workflows more broadly. Synthetic performer compliance is one module in that larger system.
Disclosure can’t be an afterthought appended in post-production. If your creative team doesn’t know the performer is AI-generated at the brief stage, your compliance process has already failed.
Interaction With Federal Frameworks
New York’s law doesn’t exist in a vacuum. The FTC has been sharpening its own guidance on AI-generated content in advertising, and the FTC AI disclosure checklist should run in parallel with your state-level compliance work. Where federal and state requirements overlap, you meet the stricter standard. Where they address different things — New York’s consent provisions, for example, go further than current FTC guidance — you comply with both.
California has analogous legislation in development. Illinois has biometric data privacy rules that interact with voice cloning use cases. If your brand runs national campaigns, a patchwork compliance approach by state is operationally untenable. Build to the strictest applicable standard and apply it uniformly. For brands also navigating cross-border complexity, the EU Digital Services Act compliance guide illustrates how to structure tiered compliance frameworks that scale across jurisdictions.
Industry bodies including the ANA and the IAB Tech Lab are developing standardized disclosure formats and consent frameworks. Tracking their output will help brands move from ad-hoc compliance to scalable policy.
Risk Calibration: What Happens If You Get This Wrong
Non-compliance isn’t just a regulatory fine risk. It’s a brand trust issue. Consumers are increasingly attuned to synthetic media — and a brand caught using AI-replicated talent without disclosure faces public backlash that typically outweighs the media cost it was trying to avoid by using synthetic performers in the first place.
The legal exposure under New York’s law includes civil liability, injunctive relief, and statutory damages. Talent unions are actively monitoring compliance, and several advocacy organizations have already signaled intent to pursue cases. This is not a theoretical risk.
For brands with significant influencer programs, synthetic performer compliance sits alongside your existing FTC AI disclosure audit process — treat them as two components of one compliance infrastructure, not separate workstreams.
Start with an audit of every campaign currently in production or recently launched that uses AI-generated or AI-modified talent, map consent documentation against each execution, and confirm disclosure is present and compliant. Do it this week, before a complaint is filed.
Frequently Asked Questions
Does the New York Synthetic Performer Disclosure Law apply to national brands headquartered outside New York?
Yes. The law’s jurisdictional trigger is distribution, not the advertiser’s location. If your ad runs in New York media markets — which includes most national digital, broadcast, and out-of-home campaigns — the law applies to you regardless of where your brand or agency is based.
Do fully AI-generated characters (with no real-person basis) require consent under this law?
No. If the synthetic performer is entirely fictional with no connection to a real individual’s likeness, voice, or persona, there is no person to consent and the consent requirement does not apply. However, the disclosure requirement still applies. Consumers must be informed that the performer is AI-generated, even when no real person was replicated.
Does a platform’s native AI label (like Meta’s or YouTube’s) satisfy the disclosure requirement?
No. Platform-level AI content labels fulfill platform policy requirements but do not independently satisfy New York’s statutory disclosure obligation. Brands must build their own clear and conspicuous disclosure into the creative itself, separate from any platform-applied label.
What counts as a “synthetic performer” under the law?
The law covers digitally created human likenesses, AI-replicated voices, deepfake versions of real individuals, and substantially AI-modified versions of real talent. Partial replication — such as using only a cloned voice while using a different visual performer — still triggers the law’s provisions if a real person’s voice was the source material.
What should brands do if talent revokes consent after a campaign has launched?
Brands need a documented revocation response protocol established before launch. This should specify maximum response timelines for pulling or modifying creative, which distribution channels to prioritize for immediate removal, and what contractual remedies apply. Running synthetic talent creative after consent is revoked creates significant legal exposure under the law.
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