Google has started labelling ads across Search, YouTube and Discover to indicate whether they were created or edited using AI. The primary home for this notation is the My Ad Center panel, under a section called "How this ad was made". In some regions, where local law requires it, the label may also appear directly on the ad itself. This is not a soft rollout buried in a changelog - it is a structural shift in how Google surfaces creative provenance to the public.
For advertisers running Performance Max, AI Max, or Demand Gen campaigns, where Google's systems routinely generate or adjust ad copy and creative assets, this change deserves close attention. The question is not just whether your ads carry a label. It is whether your account is set up to give you meaningful control over what that label is applied to.
Why This Is Happening Now
The move reflects a broader regulatory direction, particularly in the EU and UK, where there is growing pressure on platforms to be transparent about automated content. Google's decision to make AI labelling visible through My Ad Center as a baseline - and then surface it directly on the ad in regions where law requires it - suggests the company is building infrastructure that can flex to meet different compliance standards simultaneously.
That distinction matters. If you are running campaigns targeting the UK, Europe, or other regions likely to adopt disclosure requirements, you may find that your AI-generated ad copy or creative carries a visible label directly in the ad unit itself. This is no longer a policy consideration. It becomes a conversion consideration.
Which Campaigns Are Actually Affected
Performance Max is the obvious candidate here. PMax relies heavily on Google's AI to generate headlines, descriptions, and in some cases image crops from assets you provide. If Google is attributing creative generation to AI, then a significant portion of what PMax serves will likely carry this notation. Demand Gen campaigns, which also lean on automated creative assembly across YouTube and the display-adjacent inventory, sit in the same category.
AI Max for Search campaigns, which can rewrite your ad copy at query time to better match user intent, introduces another layer. Even if you wrote your original headlines yourself, AI Max's rewrites may constitute "edited with AI" in Google's classification. That is a meaningful distinction - and one that advertisers using AI Max should be thinking about in terms of what they are comfortable having labelled and how they structure their asset inputs accordingly.
Standard search campaigns with manually written ads, where no automated copy generation is involved, should be unaffected - provided no AI-assisted editing tools within the Google Ads interface were used during ad creation. If your team uses Google's built-in AI suggestions and applies them directly, that may change the picture.
The Creative Accountability Gap This Exposes
Many advertisers running PMax or Demand Gen have little visibility into what Google is actually serving. The asset reporting improvements that have rolled out over recent months help, but the reality for a lot of accounts is that the AI is assembling combinations from a pool of assets without much human review at the individual ad level. The AI label changes the stakes for that approach.
If your audience sees a label indicating the ad was AI-created, their response will depend heavily on the context. A B2B buyer reading a generic, clearly templated headline that also carries an AI label may be more likely to disengage. A consumer in a lower-consideration category may not notice or care. The point is that advertisers now have an additional reason to audit the creative output coming out of their automated campaigns - not to eliminate AI, but to ensure the quality threshold justifies the label it will carry.
This is where providing strong, differentiated creative inputs into PMax and Demand Gen asset groups becomes more important, not less. Google's AI can only work with what you give it. If your asset library is thin or generic, the generated combinations will reflect that - and they will now be identifiable as AI output.
What This Means for Conversion Performance
The honest answer is that no one yet knows how AI labels will affect click-through rates or conversion rates at scale. Consumer responses to AI disclosure labels in advertising are untested in this specific context. Some audiences may be indifferent. Others, particularly in professional services, financial products, or healthcare - categories where trust and credibility are central to the buying decision - may respond negatively.
For lead generation advertisers, this is worth building into your testing approach. If you can segment performance by campaign type and cross-reference it against the regions where visible labels are being applied, you have the basis for understanding whether the label is affecting behaviour. GA4, with properly configured conversion events and campaign-level segmentation, gives you the data structure to do this - even if attribution across PMax remains imperfect.
The campaigns least exposed to this risk are those where human-written, brand-specific creative is clearly the primary input - where the AI is optimising bids and placements rather than generating the words and images a prospect actually reads. That is a useful frame for deciding where to invest your creative resources.
Practical Steps for Advertisers
Start by auditing what your AI-led campaigns are actually serving. Use the asset reporting available in PMax to review which headline and description combinations are getting impressions, and assess whether you would be comfortable with those carrying an AI label. If the output is weak or off-brand, that is a creative input problem - fix the asset library rather than pulling back from the campaign type.
For AI Max, review your ad copy customisation settings. AI Max gives you the ability to set parameters around how much the system can rewrite your copy. Tightening those settings reduces the AI's footprint on your final ads - which may reduce the likelihood of an AI-edited classification, and more importantly ensures the message served is closer to what your team actually signed off on.
Finally, keep a close eye on how this develops across different markets. Google's approach - My Ad Center as the default, direct ad labels where law requires - means the user-facing impact will vary by geography. If a significant portion of your paid traffic comes from regions likely to implement stronger AI disclosure rules, this is worth raising with your legal and compliance team now rather than when the label is already live on your ads.