Can I use AI-generated images in my ads?
Yes, but some places require you to say so. What New York, the European Union and other markets require as of 5 November 2026, with label examples.

Yes, but some places require you to say so. What New York, the European Union and other markets require as of 5 November 2026, with label examples.

Yes, you can use AI-generated images in your ads. What changed in 2026 is that some places now require you to say so, especially when the image shows a person who does not exist.
This article reflects what we found in official sources and legal analyses as of 5 November 2026. The topic moves quickly, so check the current rule in each market before launching a campaign. This is general information and does not replace advice from a lawyer.
As of 5 November 2026, these are the cases most likely to affect an advertiser. It is not a list of every country in the world.

This is the one advertisers talk about most. It was signed on 11 December 2025, amended section 396-b of the General Business Law and took effect on 9 June 2026.
Two points remain open. The law does not define exactly what “conspicuous” means or set required wording. Nor does it fully settle whether it reaches an ad created elsewhere that is seen by someone in New York. The firm Croke Fairchild considers the question open and recommends a cautious approach: treat creative targeting New York or distributed across the United States as in scope.
An AI product photo with no people does not trigger this law. It may trigger other rules, such as those in the European Union.
Article 50 of the AI Act has applied since 2 August 2026. The part that matters most to advertisers covers deepfakes: AI-generated or manipulated image, audio or video that resembles real people, objects, places or events and that someone could believe is authentic.
There is a lot of confusion here. The California AI Transparency Act has applied since 2 August 2026, with a new part added on 1 January 2027. But the duties we read in the official text fall on other parties: AI providers with more than one million monthly users and, from 2027, large platforms, which will have to detect and display content provenance data.
In practice it still reaches you: if your image carries that data, the platform may show it was made with AI. And Google already lists California among the places where it shows the label on the ad when you mark it as made with AI.
As of 5 November 2026, we found no Argentine law in force requiring labels on ads made with AI. According to the firm Marval O’Farrell Mairal, a bill in the lower house would require a visible label on content generated or modified with AI, but it is not yet law.
That does not mean anything goes. The Consumer Protection Law requires accurate and truthful information, and misleading advertising is already banned. If an image shows a result the product does not deliver, the problem exists with or without AI.
There is no universal formula. These examples show the logic and are not legal wording:

A testimonial is a different problem. In the United States, the FTC bans creating or selling reviews and testimonials from people who do not exist, including AI-generated ones. A label does not solve that.
Google notes that using its label does not guarantee compliance with any rule. The platform gives you the tool, but the responsibility remains yours.
A lawyer tells you what the rule means. The day-to-day problem sits in the account: which campaign goes to which country, which asset used AI, which setting must be on and what changed this month on each platform. An agency managing those accounts sees the whole journey, can stop an asset before it goes out and can follow changes market by market.
That said, working with an agency does not transfer the risk. According to Croke Fairchild’s analysis of New York, primary responsibility points to the brand, and the split with agencies and suppliers is largely set by contract. So it is worth putting in writing who reviews what.
Generally, yes. What varies by place is whether you must disclose it. The image also cannot mislead about the product or use someone’s identity without permission.
It depends on how much changed. Meta and India exclude minor edits such as colour. Google asks you to mark meaningfully enhanced assets but sets no exact threshold. If the edit changes what users believe about the product, treat it as AI content.
Not without permission. That goes beyond labelling, because the person’s rights over their likeness come into play.
You may be. In New York, the legal analysis we cite points mainly to the brand, although each case depends on who created the ad and what the contract says.
We did not find solid, general data to answer that. If it worries you, test it in your campaigns and look at cost per sale or lead, not just clicks.
When we build or review a campaign, we look at which assets use AI, which markets they reach and what needs to be switched on in each platform. We do not give legal advice, so for questions of interpretation it is worth involving your lawyer. We also use AI in our campaign work, and explain how in AI for digital advertising campaigns. If you advertise in more than one country and want your ads reviewed, ask us for an audit.

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