Google is introducing a feature that flags advertisements created or edited using generative artificial intelligence. The label, which appears in the “My Ad Center” panel accessible via the three-dot menu or info icon on ads, informs users whether an ad was generated or significantly altered by AI tools. This covers ads across Google Search, YouTube, and Google Discover, and is available globally. The company’s rationale is straightforward: AI makes it cheap and easy to produce slick product imagery, which can mislead shoppers into believing they are seeing a real photograph rather than a synthetic one.
How the Label Works
The disclosure appears in the existing “My Ad Center” panel, which already allows users to block or report ads and learn why a particular ad was shown to them. Now, it adds an option labeled “how this ad was made,” which surfaces any AI involvement. The feature is designed to increase transparency in digital advertising, where generative AI tools can create realistic images, videos, and text that may be indistinguishable from human-made content. According to Google, the label applies to ads that have been created or edited using generative AI technologies, including image generation, video synthesis, and text-based personalization.
However, the reach of the feature depends heavily on how the ad was built. When advertisers use Google’s own generative AI ad tools, such as those integrated into Google Ads, the disclosure is switched on automatically. For ads created using third-party tools, the advertiser must actively flag that AI was involved. Google says it will not run its own checks to verify the claim, so the label rests entirely on advertisers being honest. This honor-system approach raises questions about effectiveness, as advertisers hoping to pass off synthetic scenes as genuine photographs have little incentive to voluntarily disclose AI use.
Regulatory Context and the EU AI Act
The timing of Google’s announcement is not accidental. The move front-runs tougher rules coming from the European Union. The EU AI Act, which begins to bite in August, includes transparency obligations for AI-generated content. Under the Act, providers and deployers of certain AI systems must label AI-generated or manipulated content, including advertisements. Industry groups, particularly retailers, have already started lobbying to exempt AI-made ads from these mandatory disclosure rules. A voluntary, self-declared label is a far lighter touch than what Brussels has in mind, and the debate over the AI Act’s scope continues.
Google itself is not consistent across its own products. On YouTube, the company will auto-label AI-generated videos, whether or not creators disclose them. This stricter stance contrasts with the advertiser honesty it relies on for commercial ads. The discrepancy highlights the challenges of implementing transparency across different types of content and platforms. Why should a product ad enjoy a more lenient labeling regime than a YouTube video? Critics argue that the inconsistency undermines the credibility of the entire transparency initiative.
Implications for Deceptive Advertising
The feature is still a step toward transparency in a market drowning in synthetic media. Generative AI has made it trivial to produce high-quality fake images and videos, and advertisers are leveraging these tools to create persuasive advertisements without the cost of professional photography or videography. While many uses are legitimate—such as creating product mockups or A/B testing different designs—the technology also enables deceptive practices. For instance, a synthetic image of a product may misrepresent its actual appearance, leading to customer disappointment or even fraud.
Google has previously required AI disclosure only on election ads, a narrow policy aimed at political misinformation. Extending the requirement to commercial ads is a meaningful widening, but it may not go far enough. According to a 2023 study by the University of Amsterdam, consumers often overlook or ignore AI labels, especially when they are not prominently displayed. The “My Ad Center” panel is already a relatively obscure feature; many users may never click through to see the AI disclosure. Moreover, the voluntary nature of the label for externally made ads means that the most deceptive advertisers are unlikely to self-report.
The broader ecosystem of ad tech also complicates enforcement. Advertisers often use complex supply chains involving demand-side platforms, supply-side platforms, and ad exchanges. An ad created with AI might pass through multiple intermediaries before being served on Google’s properties, making it difficult to track whether AI was used. Google’s policy places the burden on the advertisers, but without automated detection, it’s unclear how the company will prevent abuse. The company has not announced any plans to use AI to detect AI-generated ads, despite having advanced AI detection tools for other purposes, such as combating misinformation in search results.
Historical Background: Google’s Approach to AI in Advertising
Google has been a major player in incorporating AI into its advertising products. In 2023, the company launched several generative AI tools for advertisers, including the ability to create ad copy and images using natural language prompts. These tools are designed to help small businesses quickly produce professional-looking ads. However, the same technology can be used to create misleading advertisements. Google’s advertising policies already prohibit deceptive claims and misrepresentation, but the new label aims to make the use of AI transparent.
The feature is part of a broader industry trend toward labeling AI-generated content. Social media platforms like TikTok and Meta have introduced similar labels for AI-generated videos and images, though enforcement varies. In the advertising world, self-regulation bodies like the Advertising Standards Authority in the UK have issued guidance on AI use, but binding rules are still scarce. Google’s move may pressure other platforms to adopt similar labeling, especially as consumers become more aware of the prevalence of synthetic media.
The company also faces legal and reputational risks. In the United States, the Federal Trade Commission has warned about the use of AI in advertising, suggesting that deceptive AI-generated ads could violate consumer protection laws. Google’s labeling may serve as a defense against future enforcement actions, showing that the company is taking steps to inform consumers. However, the voluntary nature of the label for third-party ads weakens that defense, as it relies on the honesty of advertisers who may have no other incentive to comply.
From a technical perspective, implementing automated detection of AI-generated ads is challenging. Generative models are constantly evolving, and detecting synthetic content often requires access to the original generation process, which advertisers may not share. Watermarking techniques, such as those promoted by the Coalition for Content Provenance and Authenticity, could help, but adoption is voluntary. Google itself has developed its own watermarking system for AI images, SynthID, but it is not yet widely integrated into advertising workflows.
The EU AI Act’s transparency requirements are expected to push platforms toward more proactive detection. The Act mandates that AI systems used to generate or manipulate content must include technical means to mark the output. If Google’s automatic labeling for its own tools meets that standard, it may set a benchmark for others. But for ads created outside Google’s ecosystem, the burden falls on advertisers to self-certify, which is unlikely to satisfy regulators.
The stakes are high. Advertising is the lifeblood of Google’s business, accounting for over 80% of its revenue. Any transparency measure that could reduce ad effectiveness or increase advertiser friction must be balanced against the need for trust. If consumers come to distrust ads because they cannot tell whether an image is real or AI-generated, the entire ad ecosystem could suffer. Google’s label is a step toward rebuilding that trust, but it is a small step in a long journey.
As generative AI continues to improve, the line between real and synthetic will blur further. Advertisers will have even more tools to create personalized, dynamic ads that adapt to individual users. This promises better user experiences but also greater potential for deception. Google’s feature gives users a way to ask how an ad was made, but whether they will take the time to look—and whether the answer will be truthful—remains an open question. For now, Google has built the disclosure and handed advertisers the switch. The honest ones will flip it, and the rest are exactly the reason such a label was needed.