Google to Label AI-Made Ads with New Disclosure Tool

Google announced on Thursday that it will begin labeling ads that were created or edited using AI, expanding a disclosure practice that until now applied only to political advertising.

What's changing

The new label — described as 'created or edited with AI' — will appear across Search, Discover, and YouTube. Users can view it inside Google's My Ad Center panel by tapping the three dots or info button on an ad and navigating to a 'how this ad was made' tab. In some regions, the label may appear directly on the ad itself rather than requiring users to dig into the panel.

Sources differ slightly on terminology: TechCrunch describes the disclosure as an option called 'How this ad was made' that indicates AI use, while The Verge frames 'created or edited with AI' as the actual label, appearing under a separate navigation tab of the same name. It's unclear from available reporting whether this is a naming discrepancy or a description of two different UI elements.

Ads made with Google's own generative AI tools will be labeled automatically. Ads made with external AI tools require advertisers to manually apply the label — and Google has confirmed it does not verify these manual disclosures.

Context: this builds on existing efforts

Google isn't starting from zero on AI transparency:

In 2024, Google introduced a 'synthetic or digitally altered content' disclosure requirement specifically for political ads.
Earlier this year, the company expanded access to SynthID and C2PA content labels, tools designed to help detect deepfake content.
Meta already has a comparable feature — an 'AI info' label inside its 'About this ad' panel — suggesting the two largest ad platforms may be converging on similar disclosure norms.

The gaps and risks

Several open questions remain around enforcement and scope:

No verification for external tools. Because Google doesn't check manually applied disclosures, advertisers using AI tools outside Google's ecosystem could skip labeling without detection.
No stated penalties. There's no public detail on what happens to advertisers who fail to disclose AI use.
Unclear thresholds. It isn't clear how Google distinguishes a fully AI-generated ad from one with minor AI-assisted touch-ups.
Rollout timeline is vague. No specific date has been given for global availability, and it's unclear which regions will get on-ad labels versus panel-only disclosure.

There's also a consumer-facing risk: AI-generated ad imagery could mislead people who assume they're looking at a real product photo, particularly in regions where the label isn't shown directly on the ad.

Why founders should care

For early-stage companies running paid ads on Google, this shift is likely to matter in a few concrete ways:

If your team uses AI-generated or AI-edited imagery in ad creative, you may need to review whether manual disclosure is required — especially since Google's own tools apply labels automatically, but external tools do not.
AI-generated imagery could plausibly reduce production costs by letting founders place products in varied settings without traditional photography — but a disclosure label could influence how consumers perceive that ad, which is worth testing rather than assuming is neutral.
Because Google does not verify externally sourced AI disclosures, startups have some near-term flexibility in how strictly they self-report. That flexibility, however, carries reputational risk if inconsistent labeling is later scrutinized by users or press.
With Meta already running a similar 'AI info' label, there's a reasonable chance that AI ad disclosure becomes a broader cross-platform expectation rather than a Google-specific requirement — founders who get ahead of internal disclosure practices now may face less friction if regulation or platform policy tightens later.

Given the missing details on enforcement and global rollout timing, founders should treat this as an early-stage transparency measure rather than a fully settled compliance regime — but one worth monitoring closely if AI-assisted creative is part of the ad strategy.