NY Synthetic Performers Law June 9: AI Ad Disclosure 2026

Quick Answer

New York's June 9, 2026 synthetic performers law requires conspicuous disclosure on any visual or audiovisual ad reaching New York consumers that uses an AI-generated human likeness. The reach test is consumer location, not brand location — nationally-distributed paid social, programmatic, and CTV fall within scope regardless of brand HQ.

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AI Avatars in Your Ads: The June 9 New York Law That Could Pull Your Creative Overnight

What Happens on June 9, 2026

On June 9 a New York law takes effect that requires brands to conspicuously disclose when any visual or audiovisual advertisement distributed to a New York audience features a synthetic performer — an AI-generated human likeness that does not depict an actual living person. It is the first state-level law of its kind in the United States, and it applies to every brand, agency, and creator whose paid social, programmatic, OOH, or broadcast inventory reaches New York consumers. The reach test is the consumer location, not the brand location, so any nationally-distributed campaign is in scope by default.

The reason this matters more than the headline suggests is that AI-assisted creative has quietly become the modal production technique across paid social, not the exception. Generated faces in performance creative, AI-cloned voiceovers in video, synthetic backdrops in product photography, avatar-driven influencer content — these are routine 2026 production choices, not edge cases. A brand that ran a clean campaign last quarter may have several creatives in scope without anyone on the team flagging them as AI-generated, because the team did not categorise them that way.

In substance, the New York measure requires an advertiser distributing a visual or audiovisual advertisement featuring a synthetic performer to New York consumers to conspicuously disclose, within the advertisement itself, that it features a synthetic performer, with the obligation taking effect June 9, 2026 (paraphrase of the New York synthetic-performers provision; consult the statute text for exact wording).

This guide breaks down what specifically counts as a synthetic performer under the New York statute, what a conspicuous disclosure looks like in each ad format, how to deploy the disclosure on Meta, TikTok, YouTube, Google, and LinkedIn, how the New York law converges with the FTC AI endorsement framework and the EU AI Act Article 50 deployer obligations, and the three-week pre-flight audit every brand with US national distribution needs to run before June 9. Pre-flight every creative through the disclosure checker and the AI compliance audit so the AI-assisted creative inventory is identified and the disclosure plan is in place before the deadline.

What Counts as a Synthetic Performer

The statute defines a synthetic performer as an AI-generated human likeness that does not depict an actual living person. The definition is broad in scope and narrow in exception, and the production-team-facing definitions below are how that legal phrasing translates to creative-production decisions.

Creative element	In scope as synthetic performer?	Why
Fully AI-generated face used in static or video ad creative	Yes	The visual is an AI-generated human likeness that does not depict an actual person
AI-cloned voice of a fictional character or non-existent person	Yes	The audio creates the impression of a human performer who does not exist
AI-assisted face replacement on a real human performer (face swap)	Likely yes	The visible likeness is AI-generated even though the underlying performer is real
Real performer with AI-enhanced features (skin smoothing, eye recolour)	Likely no	The performer is real and the enhancements do not constitute a different likeness
AI-generated voiceover by a real voice actor with explicit consent	No	The voice is the real performer's, generated reproductions used with consent are not synthetic performers under the statute
Animated character with AI-generated dialogue	Likely no	The character is not a human likeness — animation is treated separately
AI-generated stock-photo-style human used as background extra	Yes	The background human is an AI-generated likeness regardless of prominence
AI avatar representing a real brand employee or executive	Likely yes	The visible likeness is synthetic and may not be an accurate representation of the real person

The grey zone is broader than most teams expect, and the practical operating rule for borderline cases is to disclose. The cost of an unnecessary disclosure is small; the cost of a missed disclosure is enforcement exposure plus platform creative pulls. For the broader cross-jurisdiction definition of AI-generated content in advertising the United States compliance reference covers the federal-state framework, and the FTC's parallel framework for synthetic influencers is set out in the FTC AI endorsement rule analysis.

What Conspicuous Disclosure Means

The statute requires conspicuous disclosure within the advertisement itself. Conspicuous is the controlling term and the operational standard tracks the FTC's existing interpretation across endorsement and material connection disclosures: the disclosure must be in a placement and presentation a reasonable consumer would notice during normal viewing, in language a reasonable consumer would understand, and not buried, obscured, or dependent on hover, expand, or click states.

The four conspicuous-disclosure properties

Placement: the disclosure appears in the ad creative itself — not in alt text, not in caption-expand states, not only in the linked landing page. For a video ad the disclosure must be present in the playback frame; for a static the disclosure must be present in the visible region.
Duration: for video and audiovisual ads the disclosure must be visible long enough to be read by a reasonable consumer. A two-frame text overlay is not conspicuous; a held title card or a persistent lower-third is.
Legibility: the disclosure is rendered in a font size, contrast, and position that a reasonable consumer can read in the assumed viewing context, which for paid social is mobile-first.
Plain language: the disclosure uses words a reasonable consumer understands. AI-generated, synthetic performer, AI avatar — all acceptable. Algorithmically-generated visual asset is not.

The disclosure language that satisfies the statute and translates cleanly across platforms is something direct and consumer-readable — for example, a static line stating that the ad features an AI-generated person, or a video lower-third stating that the performer is AI-generated. The placement and duration choices follow from the format, but the underlying language should be consistent across the creative library so that creative-review tools and creator briefs can be standardised. Run the disclosure language and placement through the disclosure checker before the campaign goes live.

Per-Platform Implementation

Each paid-social platform has its own conventions for in-ad disclosure, and the operational task is to deploy the New York disclosure inside those conventions without creating a creative-to-landing mismatch or triggering platform ad-review for misclassified AI content. The per-platform implementation below is the deployable baseline.

The five-platform deployment matrix

Meta (Facebook and Instagram): apply Meta's existing AI-content label inside Ads Manager for any ad whose creative would count as synthetic under New York's standard. The Meta label satisfies the platform-side disclosure obligation but does not by itself satisfy the New York statute, which requires the disclosure to be in the creative itself. Combine the Meta label with an in-creative text disclosure for completeness. The Meta-specific label policy is covered in the Meta AI-generated content label policy guide.
TikTok: use TikTok's AI-generated content disclosure setting on the creative, plus an in-video title card or lower-third for the in-creative disclosure. TikTok's compliance team scans for the platform label; New York enforcers will look at the visible creative.
YouTube and Google video: apply YouTube's altered or synthetic content disclosure during upload. Add an in-video disclosure overlay or held title card at the start of the spot. For YouTube Shorts the disclosure should appear within the first second to satisfy the duration requirement under typical view length.
LinkedIn: LinkedIn has not yet released a structured AI-content disclosure setting comparable to Meta's. The disclosure should be added as a text element directly inside the creative, plus mentioned in the post copy where format permits.
Programmatic and OOH: the disclosure must be present in the rendered creative itself across all DSPs and OOH inventory served to New York audiences. Geo-fenced delivery does not substitute for the in-creative disclosure on creatives that reach New York.

Document the per-platform disclosure deployment for each AI-assisted creative in a tracker that pairs the creative with the platform label state and the in-creative disclosure state. Both must be present for any New York-reaching campaign. The platform-by-platform comparison of AI disclosure conventions is summarised in the platform comparison reference.

Cross-Jurisdiction Convergence

The New York statute does not exist in isolation. Three converging regimes apply to AI-assisted ad creative for any brand with national or international distribution, and the defensible posture is to design to the strictest applicable regime and apply it uniformly. The matrix below summarises the convergence points.

Regime	Effective	Scope	Disclosure standard
New York Synthetic Performers Law	2026 (expected)	Visual or audiovisual ads reaching New York consumers	Conspicuous disclosure in the ad creative
FTC AI Endorsement Rule Update	2026 enforcement guidance	Endorsements, testimonials, influencer creative using AI-generated human likeness	Clear and conspicuous disclosure within the endorsement
EU AI Act Article 50 deployer obligations	August 2, 2026	AI-generated content in advertising distributed to EU consumers, with watermarking obligations	Detectable disclosure (watermark) plus consumer-facing label
Other US states (forecast)	2026–2027 wave	Several states following New York's approach with state-specific scope variation	Convergence on conspicuous in-creative disclosure

The strictest applicable standard for any brand selling into the US and EU is the union of the New York in-creative disclosure, the FTC endorsement-specific overlay, and the EU AI Act watermarking obligation. The operating posture is to (a) apply an in-creative disclosure to every AI-assisted ad creative globally, (b) add the endorsement-specific framing where the creative is endorsement-class, and (c) apply EU AI Act watermarking to creatives reaching EU consumers. The EU AI Act detail is covered in the EU AI Act Article 50 advertiser implications guide, and the FTC endorsement framework in the FTC AI endorsement rule analysis.

Three-Week Creative Audit

Three weeks is the window between today and the June 9 effective date for any brand reading this guide on publication. The audit below is the deployable workflow to complete the cleanup inside that window. The sequence is designed so the highest-volume surfaces are addressed first and the longer-cycle changes run in parallel.

Week 1, Days 1–3: Inventory. List every active and recently-launched ad creative across paid social, programmatic, OOH, and broadcast. For each, determine whether the creative uses any AI-generated human likeness in image, voice, or video — referring to the synthetic-performer scope table from this guide.
Week 1, Days 4–7: Triage. Sort the in-scope creatives by spend volume and by New York-audience exposure. Highest-spend, highest-NY-exposure creatives get the disclosure update first. Borderline creatives where AI assistance is unclear get disclosure by default.
Week 2: Disclosure deployment. Add the in-creative disclosure to each in-scope creative in priority order. Apply the platform-side AI label in parallel. Update the creative tracker with the disclosure state per platform.
Week 3: Creator content, brief updates, archival. Audit live creator content that the brand commissioned for AI-assisted creative; request disclosure additions or takedown where the underlying creative is non-compliant. Update creator briefs to require disclosure on AI-assisted deliverables going forward. Archive the audit log with the per-creative determination so a later enforcement inquiry has a contemporaneous record.

The longer-cycle item to start in Week 1 in parallel with the inventory is the creative-pipeline change: future AI-assisted creatives should carry the disclosure as a production-step output, not a post-production add. Update the brief template, the creative-review gate, and the platform-publish checklist so the disclosure cannot be omitted in the new pipeline. Pre-flight new creatives through the AI compliance audit and validate the disclosure language across formats through the disclosure checker.

Synthetic Performer Compliance Checklist

[ ] Active and recently-launched creative inventoried for AI-generated human likeness
[ ] Borderline creatives flagged for disclosure by default
[ ] In-creative disclosure added to every in-scope creative (text overlay, lower-third, or title card)
[ ] Platform-side AI label applied on Meta, TikTok, YouTube where available
[ ] Disclosure language consistent across creatives and platforms
[ ] Disclosure duration adequate for video formats (no two-frame overlays)
[ ] Programmatic and OOH inventory serving New York audiences disclosed in the rendered creative
[ ] Creator content audited and disclosure additions or takedowns requested
[ ] Creator briefs updated to require disclosure on AI-assisted deliverables
[ ] Creative-pipeline brief template, review gate, and publish checklist updated
[ ] Cross-jurisdiction overlay (FTC endorsement framing, EU AI Act watermarking) applied to applicable creatives
[ ] Audit log archived with per-creative determination and disclosure state

Frequently Asked Questions

My brand is based outside New York. Does this law actually apply to me?

Yes, if any of your advertising reaches consumers physically located in New York, regardless of where the brand is headquartered or where the agency producing the creative is based. The reach test under the statute is the consumer location, not the brand location, and that is the standard pattern for state-level advertising and consumer-protection laws — California's privacy regime, for example, applies on the same logic. The practical effect is that nationally-distributed paid social, programmatic, OOH, and broadcast campaigns are in scope by default because they reach New York consumers as part of normal national delivery. A geographically-targeted campaign that explicitly excludes New York from delivery is out of scope, but operational geo-exclusion at the campaign level is fragile in practice because re-targeting pools, lookalike audiences, and uncontrolled programmatic supply can deliver impressions to New York consumers even where the campaign was set to exclude New York. The defensible posture is to assume any nationally-reaching campaign will deliver impressions in New York and to comply with the in-creative disclosure obligation for any AI-assisted creative in that distribution pool. The administrative cost of complying is small — adding a text disclosure to in-scope creatives — and the cost of being out of scope is the platform creative pulls plus state enforcement exposure plus the multi-quarter platform ad-account standing tail that follows from a public enforcement action. The geographic-exclusion route is only defensible where the campaign is genuinely scoped to a non-NY footprint and where the delivery infrastructure makes accidental NY impressions unlikely, neither of which describes most national paid-social or programmatic distribution. For agencies running multi-client campaigns the defensible internal posture is to treat the New York disclosure as a baseline operating standard across all US-distribution campaigns rather than maintaining differential creative by state. The cost difference is small, the operational simplicity is large, and the convergence between New York and other US state laws expected through 2026–2027 means the New York standard is the most likely common floor across the US market within the next 12–18 months anyway. The cross-state framework and the broader US convergence pattern are covered in the United States compliance reference, and ongoing US state-level developments should be tracked through the policy tracker.

We use a stock-image platform with AI-generated images. Do those count as synthetic performers?

Likely yes for any image that depicts a human likeness, regardless of where the image was sourced or how it was generated, because the statute's definition focuses on the output (an AI-generated human likeness) rather than the production pathway (in-house production versus stock platform sourcing). The fact that the AI-generated image came from a stock library rather than being generated specifically for the brand does not change its classification under the statute. The output is the same, the consumer cannot distinguish the source, and the disclosure obligation attaches because the consumer is being shown an AI-generated human likeness that does not depict an actual person. The practical implication for stock-image use is significant because many stock platforms now offer AI-generated human imagery alongside traditional photographed stock, and many of these images have been used in brand creative without explicit AI labelling in the brand's internal records. The audit task is harder than for in-house-produced AI creative because the AI provenance of stock images may not be obvious from the file metadata or the licensing record. The operational workflow to address this exposure is to audit current stock-image use across the creative library, identify which images carry AI provenance from the stock platform's labelling, and either apply the disclosure to ads using those images or substitute with non-AI alternatives. The substitution path is often the operationally simpler answer for stock-image use, because the additional in-creative disclosure narrows the creative's flexibility and the marginal cost of substituting a non-AI stock image is typically small. Going forward, the creative-review gate should include an AI-provenance check at the stock-image selection stage so the disclosure decision is made upstream of campaign creation rather than discovered through audit. There is a parallel consideration that catches brands using stock platforms with mixed AI and non-AI inventory. Stock platforms increasingly mix AI-generated and traditionally-photographed human imagery in the same search results, and the AI label is sometimes faint, sometimes inconsistent across platforms, and occasionally absent in older library entries that pre-date current labelling conventions. Relying on the platform label alone is therefore not defensible — a creative-team-facing check of the source image against AI-detection or platform-provided provenance metadata is the practical baseline. Brands that source heavily from stock will benefit from establishing an approved-list of providers and image categories where AI provenance can be verified reliably, rather than treating every image as case-by-case. For the practical operational guidance on stock-image AI provenance and the disclosure workflow that follows from it, pre-flight ad creative through the disclosure checker and the AI compliance audit so the AI-provenance state of every image is graded before submission rather than after the campaign goes live.

What about UGC-style creator content where the creator used AI tools — am I liable as the brand?

Yes, the brand is liable for the disclosure obligation on AI-assisted creator content that the brand commissioned as paid creative, on the theory that the creator is acting as a commercial communicator on the brand's behalf and the synthetic-performer disclosure obligation attaches to the brand's commercial communication regardless of who produced the underlying asset. The mechanism is the same one that attaches FTC endorsement disclosure obligations to brands for influencer content, and the same one that the converging US state-level synthetic media laws will apply. The practical exposure pattern is that creator briefs through 2025 and into 2026 increasingly direct creators to use AI tools — AI-generated B-roll, AI-voiceover, AI face-swap effects, AI avatars — without explicit instruction to disclose, because the disclosure obligation was not a routine creative concern until the New York statute crystallised it. Live creator content commissioned by the brand and distributed to New York audiences from June 9 onward attaches liability regardless of when the content was originally produced. The remediation workflow has three components. First, audit current creator content commissioned by the brand for AI-assisted elements; identify posts that contain AI-generated human likeness in image, voice, or video. Second, for posts that will continue running past June 9, request that the creator add the disclosure or take the post down. The takedown path is often operationally cleaner because adding disclosure to existing creator content can be inconsistent across platforms and reviewer-by-reviewer. Third, update creator briefs going forward to require disclosure on any AI-assisted creative element, with the disclosure language specified in the brief itself so the creator does not have to interpret what conspicuous means. The cross-jurisdiction overlay on creator liability — FTC, EU, multiple state regimes converging — makes a globally-applied disclosure standard the operationally simplest approach rather than per-jurisdiction variation. A creator brief that specifies AI-element disclosure language and placement that satisfies the strictest applicable regime can be applied across all the creator's content reaching the brand's distribution footprint, simplifying the brief library and reducing the per-deliverable review effort. The marginal cost of the broader disclosure is small, and the operational simplicity is substantial relative to maintaining differential brief language by jurisdiction. For the broader creator-compliance framework that interacts with the synthetic performers law on disclosure and liability axes the FTC AI endorsement rule analysis covers the federal endorsement-specific framing, and the live creator-content audit should run through the disclosure checker as the primary verification surface.

Will a platform-level AI label (like Meta's AI content label) satisfy the New York statute on its own?

No, on the current reading of the statute, because the statute requires the disclosure to be in the advertisement itself in a placement and presentation a reasonable consumer would notice, and the platform-level AI label is typically rendered outside the creative — as a tag in the post header, in a metadata pane, or in an info-button overlay — which a reasonable consumer may not notice during normal viewing. The platform label and the in-creative disclosure serve different functions and the New York statute requires the in-creative version. The platform label remains useful and should be applied: it satisfies the platform's own AI-content disclosure obligation under each platform's policy, it provides a redundant signal to the consumer, and it interacts with future platform-side enforcement that may treat the label state as evidence of brand-level compliance posture. But it does not substitute for the in-creative disclosure under the New York statute, and an enforcement action that read only the platform label as the brand's compliance would treat it as a contributing signal rather than a substitute for the statutory requirement. The defensible operating posture is to apply both — the platform label inside Ads Manager or the platform-specific AI-disclosure setting, and the in-creative text or audio disclosure inside the creative itself — for every AI-assisted creative in any campaign that reaches New York consumers. The marginal cost of applying both is small, the protection against enforcement ambiguity is meaningful, and the convergent pattern across the FTC endorsement framework, the EU AI Act watermarking obligation, and the developing US state-level regimes all point to in-creative disclosure as the legal baseline with platform labels as the operational overlay. There is a more subtle reason to apply both rather than treat the platform label as a substitute even where a reading might permit it. Platform AI-label settings have changed materially over 2025 and 2026 — Meta, TikTok, YouTube, and Google have each iterated their label conventions, label placement, label visibility, and label coverage criteria multiple times. A compliance posture that depends on the platform label state being adequate as of today is fragile to platform-side product changes that may move the label to less-conspicuous placement, narrow the criteria for the label to apply, or modify the visibility threshold without notice. The in-creative disclosure is by contrast under the brand's direct control and travels with the creative across platform delivery, programmatic distribution, and offline reach. Building the in-creative disclosure once and applying it everywhere is therefore more durable to platform-side label changes than building a compliance posture that depends on the current state of platform AI-labelling. The per-platform deployment for combining the platform label and the in-creative disclosure is covered in the platform comparison reference, and the Meta-specific label policy that defines the platform-side obligation is in the Meta AI-generated content label policy guide.

What are the penalties under the New York statute, and how do they compare to FTC enforcement?

The New York statute provides for civil penalties enforceable by the state attorney general's office plus a private right of action allowing affected consumers to bring claims under the state's general consumer-protection framework, with penalty calculations that scale by violation count and that interact with the broader unfair-and-deceptive-practices regime under the New York Executive Law. The exact per-violation penalty figures depend on the specific enforcement action and on whether the violation is treated as a first-instance or repeat infringement, but the practical exposure scales with the number of affected creatives and the duration of non-compliant distribution. The comparison to FTC enforcement is structural rather than identical. The FTC framework applies a different theory of liability — the underlying creative may be deceptive or misleading under the FTC Act regardless of whether it is AI-generated, and the FTC's AI endorsement framework applies specifically when AI-generated content is used in an endorsement or testimonial context. A creative that complies with the New York statute by adding the in-creative disclosure may still face FTC scrutiny if the underlying claim, endorsement, or material connection is itself deceptive, and the FTC's enforcement remedies include injunctive relief, civil penalties, and consent-decree remediation that operate independently of state-level remedies. The practical implication is that the disclosure required by New York is necessary but not sufficient for federal compliance. The defensible posture is to design AI-creative production to satisfy the union of regimes — New York's in-creative disclosure, the FTC's endorsement-specific framing where applicable, and the EU AI Act's watermarking and labelling obligations for EU-reaching distribution — and apply them uniformly. The penalty calculus for non-compliance is the sum of state civil penalties, FTC civil penalties and remediation costs, EU enforcement penalties under the AI Act, and the platform-level consequences that flow from a public enforcement action affecting ad-account standing on Meta, Google, and TikTok. The platform consequence is the part operators consistently under-model, because public enforcement attaches as a brand-safety signal that platforms incorporate into subsequent campaign review, and accounts with public AI-disclosure enforcement actions in their history are reviewed more conservatively on later campaigns. The financial cost of that secondary effect is hard to model precisely but consistently larger than operators predict, and is the single strongest argument for pre-emptive compliance rather than reactive remediation. For the cross-jurisdiction overlay specifically and the live enforcement-tracking that monitors how state and federal regimes evolve relative to each other the policy tracker aggregates ongoing developments, and the legal compliance scan consolidates the cross-regime obligations for any brand operating in more than one of the three jurisdictions.

How should our creative pipeline change so this is solved at the source rather than as a post-hoc audit?

The durable change is to embed AI provenance and disclosure decisions into the creative brief, the creative-review gate, and the platform-publish checklist so that every creative carries a determined disclosure state by the time it enters campaign distribution rather than being audited retroactively. The audit-driven workflow is appropriate for the three-week catch-up window before the June 9 deadline; the pipeline-driven workflow is what protects the brand from re-incurring the same exposure on every future campaign. The brief change is the upstream-most lever. The creative brief should include a structured field for AI provenance — fully AI-generated, AI-assisted, no AI elements — at the time the brief is issued, with the disclosure decision recorded for AI-generated and AI-assisted creatives. The brief should also specify the disclosure language and placement that the creative team must implement, so the production-side ambiguity that produces inconsistent disclosure across creatives is eliminated. For agencies operating across many brand clients the brief template should be standardised across the client roster so the disclosure language is consistent across the agency's creative library, simplifying both the production-side gate and the downstream platform-side label deployment. The creative-review gate is the second lever. The review gate should include an AI-provenance verification step that confirms the creative's actual AI assistance state matches the brief's declared state, and a disclosure-state verification step that confirms the required disclosure language and placement is present. Reviews that find drift between brief and creative — a creative declared as no-AI in the brief but containing AI-generated elements, or a creative with declared AI-assistance but missing the disclosure — get bounced back to the production team for correction before publication. The platform-publish checklist is the third lever. The publish checklist should require both the platform-side AI label (where the platform offers one) and the in-creative disclosure (always), with the publisher confirming both states before the campaign goes live. For agencies and brands running many campaigns, a shared publishing tool that enforces both checks programmatically reduces operator error and produces an audit log per campaign that supports defense of the compliance posture if a later enforcement inquiry requires it. The combined effect of the three levers is that AI-assisted creative carries the disclosure as a production-step output rather than a post-production add, and the brand's audit log demonstrates contemporaneous compliance rather than retrospective remediation. The cost of the pipeline change is one-time and small relative to the recurring cost of audit-driven remediation, and the durability is meaningful because the cross-jurisdiction overlay is expected to tighten further through 2026–2027 as additional US states and EU enforcement matures. For the production-side disclosure-language standardisation use the disclosure checker with the brief library, and validate the creative-review-gate AI provenance verification through the AI compliance audit so the production pipeline is graded continuously rather than per-campaign.

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AI Avatars in Your Ads: The June 9 New York Law That Could Pull Your Creative Overnight