New York AI Disclosure Law. Everything A Brand Needs To Know
Most fashion brands heard about New York's new AI disclosure law and called their lawyers.
The smart ones called their marketing teams.
There's a fine. There's a deadline. There are compliance steps. All real. But buried inside this regulation is something brands have been quietly looking for - a legitimate reason to talk openly about what they're doing with AI and get credit for it.
This is not a burden. It's a door.
What the Law Actually Says
On December 11, 2025, Governor Kathy Hochul signed the New York AI disclosure bill into law. It kicks in June 9, 2026.
The requirement is simple. If your advertisement features a synthetic performer - an AI-generated human figure that looks real but was never a real person - you have to say so. Clearly. Not buried at the bottom in tiny text.
Think: the AI-generated model wearing your swimwear in a paid Meta ad. That counts.
Who has to follow this: brands, agencies, production studios - anyone involved in making the ad. If your agency uses an AI model without telling you, you're still on the hook. This applies even if your business is based outside New York.
What's not covered: audio-only ads, AI used for language translation, and trailers for movies or games where the same AI character appears in the actual work.
The fines: $1,000 for a first violation. $5,000 for each one after that.
What the law doesn't spell out: the exact wording, size, or placement of your disclosure. That's left to you. Which is actually good news - it means you get to make it sound like your brand.
The Federal Situation
Image Source - https://www.cooley.com/news/insight/2026/2026-01-29-new-york-enacts-synthetic-performer-disclosure-law-for-advertisements-including-those-using-generative-ai
The same day the law was signed, the White House issued an executive order pushing to pause state AI laws in favour of a unified federal standard. So there's some uncertainty in the air.
But most advertising lawyers agree: prepare for compliance anyway. The New York law passed unanimously. SAG-AFTRA backed it. The executive order faces court challenges. Cooley's legal analysis of the statute is a useful starting point for understanding exactly what you're dealing with. Other states are watching - California usually follows New York on legislation like this.
Build disclosure into your workflow now. You will not regret it.
The Number That Changes Everything
Here's the part legal teams don't mention.
A Yahoo and Publicis Media study tested what happens when AI-generated ads include a disclosure label. When consumers saw one, it produced a 96% lift in overall trust for the company.
96%. From a label. Not from a rebrand. Not from a new campaign. A simple tag that says: we used AI here.
Meanwhile, 72% of consumers say AI makes it hard to know what's real anymore. And 61% already assume brands are using AI in their ads - they just can't tell where. People aren't surprised by AI. They're waiting to see who's honest about it.
Source - https://www.adweek.com/brand-marketing/aerie-rejects-ai-in-ads-vowing-to-stay-100-real/
Aerie figured this out before any law required it. In October 2025, they publicly pledged to keep their ads free of AI-generated bodies. That single post became their most-liked Instagram post of the year. Non-reel engagement jumped 75% in the two weeks that followed.
The lesson isn't "avoid AI." The lesson is: when you're clear about your creative choices, people respond. Silence doesn't build trust. Honesty does.
What This Means If You're Already Using AI Models
If you're already running AI-generated fashion models on paid channels, here's the honest breakdown.
Product pages sit in a grey area. The law targets advertisements. Standard e-commerce product pages aren't straightforwardly classified as ads under the statute. But that distinction deserves a proper legal review - enforcement interpretation will develop over time.
Paid social is clearly in scope. Instagram, Meta, TikTok, Pinterest - if you're running paid placements with AI-generated models targeting New York, you need a disclosure. Full stop.
Your agency relationship needs updating. The law applies to whoever produces or creates the ad. If your production partner makes choices you're unaware of, that's still your problem. Update vendor contracts before June.
The disclosure format is yours to design. "Conspicuous" is the legal standard - prominent, not buried. The exact language is up to you. That's an opportunity to write something that sounds like your brand, not like a legal footnote.
Why This Is Actually Good for Business
Here's a thing worth saying out loud: AI fashion photography works. The business case is strong enough to defend publicly. Which means disclosure doesn't have to be defensive. It can be confident.
A Stylitics survey of real shoppers found 71% of consumers can't tell the difference between real and AI-generated fashion images when shown side-by-side. Those same shoppers - 59% of them - say they want clear labelling when AI is used.
Strong results. Honest shoppers. That combination is your argument for disclosure as a brand asset, not a liability.
On the economics: traditional on-model photography runs $2,000–$10,000 per session minimum. AI platforms deliver comparable quality at 80–90% lower cost with unlimited variations. Levi's was one of the first major brands to use AI-generated models to show their jeans across diverse body types. They talked about it openly. Their loyalty program reached 5 million members. Disclosing that approach didn't undermine the results - it contextualised them honestly.
ASOS has been deploying AI-driven visual search across its product pages for years, improving product discovery without hiding the technology.
Stitch Fix built its entire personalisation model on AI-driven product matching and named the technology publicly as a brand feature.
The North Face used an IBM Watson-powered personal shopper that drove meaningful conversion lifts - and they talked about it.
Gucci went further with AR-powered virtual try-ons for footwear, cutting return rates while making the AI the story.
None of these companies suffered for being transparent. They built a reputation on it.
The AI in fashion market is growing at a 40.4% compound annual growth rate. McKinsey projects that generative AI will add $150–275 billion to apparel and luxury operating profits over the next three to five years.
This isn't experimental anymore. It's infrastructure.
Zara uses AI-driven predictive analytics and RFID tagging to forecast trends and reduce overstock before it happens. H&M's analytics team runs demand forecasting models that cross-reference sales data, weather forecasts, and social trends simultaneously. Burberry uses AI across supply chain management and real-time inventory redistribution. These aren't pilot programmes. They're how the business runs.
Brands that disclose AI use confidently are building on the same foundation. They're not catching up - they're ahead.
How to Make Disclosure Sound Like You
The law says "conspicuous." It doesn't say corporate.
Write something specific. "AI-assisted imagery" or "Created with AI-generated models" tells consumers something real. Vague fine print does the opposite. It looks like you have something to hide.
Connect it to something you actually stand for. If your AI strategy includes showing diverse body types - different sizes, ethnicities, ages that traditional photoshoots often miss - say that. "We use AI models to represent every body type in our community" is a disclosure and a mission statement at the same time.
76% of consumers say they'd switch to a brand that demonstrated genuine AI transparency. That's not a compliance number. That's a market opportunity.
Tommy Hilfiger made AI involvement the story during Metaverse Fashion Week - inviting customers to participate in the generative design process rather than hiding it in the credits. Moncler did the same with their Verone AI Jacket, developed with AI studio Maison Meta. The AI process was the press story, not something they hoped nobody noticed. Norma Kamali trained a custom AI model on 57 years of her design archives and talked about what the technology actually produced - including the mistakes that became inspiration. She got covered everywhere.
The pattern is the same across all of them: transparency became the interesting part.
Be consistent. One disclosure on one campaign doesn't build trust. Doing it across every AI-generated piece of content, every time, does. Consistency is what turns a label into a brand signal.
Test the language. You have until June 2026. A/B test how different phrasings land with your audience. Some respond to matter-of-fact labels; some appreciate a one-line explanation of why. Use the runway.
Take the ethics seriously. SAG-AFTRA's support for this law reflects real concerns from real performers. Brands that engage with that honestly build a different kind of reputation. Stella McCartney uses AI for sustainable textile recycling and talks about it as part of their values. Patagonia built AI into their Worn Wear resale platform to improve circular fashion - openly, as a brand commitment. When AI use connects to something you actually stand for, disclosure isn't a burden. It's a proof point.
New York Is First. It Won't Be Last.
The EU AI Act's transparency rules for synthetic media take effect in August 2026. The UK Advertising Standards Authority issued guidance in May 2025 requiring disclosure when AI use could mislead consumers. The FTC has already confirmed AI-generated content falls under existing consumer-protection rules.
Everyone is moving in the same direction. The only question is whether you get ahead of it or get caught scrambling.
73% of fashion executives now prioritise generative AI. 62% of fashion businesses already use it in their workflow, according to McKinsey and Business of Fashion research. Which means AI photography workflows are rapidly becoming standard practice - not an edge case.
Brands building these workflows today have one advantage: they can bake disclosure in from the start. That's much easier than retrofitting it later when you have 500 existing ads and no policy.
Six Things to Do Before June 2026
Audit your active creative. Find every ad running in New York - or nationally - that includes an AI-generated human figure. Know what you have before June.
Update agency and vendor contracts. Add clauses requiring notification when synthetic models are used, and confirming who holds disclosure responsibility. If your agency creates the ad, clarify in writing who is accountable.
Draft your disclosure language now. Don't leave this for May. Get the exact wording, placement, and format decided - and reviewed by legal counsel familiar with the statute.
Brief your full marketing team. Disclosure doesn't live only in legal. Everyone creating or approving ad creative - internal and external - needs to understand when and how the rule applies.
Build or update your AI content policy. If you don't have documented internal guidance on when and how AI imagery is used across your brand, build it now. Our trust and safety standards are a useful reference for how a responsible platform thinks about this.
Watch federal developments. The Commerce Department is expected to publish an evaluation of state AI laws. Plan for compliance either way - the direction of travel is clear.
The Bottom Line
The label isn't the risk. Hiding is.
New York's law sets a floor. The brands that will actually benefit from this moment aren't the ones just meeting the minimum - they're the ones using it as a reason to communicate clearly with their customers.
AI fashion photography isn't going anywhere. The cost savings, the speed, the ability to show diverse representation at scale - these are real and they're growing. The brands that combine those advantages with honest, confident disclosure will build something that generic image generation never could: actual trust.
The label isn't a warning. In the hands of a smart brand, it's a statement.
Caimera is an AI-powered product photography platform built for fashion brands, e-commerce retailers, and agencies. See what AI fashion photography looks like at brand quality in our image showcases, or read what consumers actually think about brands using AI images.
