Use-case guide

AI in Marketing & Advertising

AI has rewired the advertising stack — from algorithmic targeting and creative generation to dynamic optimisation and influencer-style synthetic personalities. Regulators have been catching up, fast. The biggest exposure today is in three buckets: (1) AI-generated content that's not labelled, (2) automated decisioning that determines who sees what (and at what price), and (3) the political-advertising and election-integrity overlay where the rules are tightest and the penalties are highest. None of this is hypothetical — the Italian Garante, FTC, and ASA have all opened cases against advertisers using generative AI without disclosure.

For: CMOs, performance marketers, creative directors, brand teams, ad-tech founders, advertising counsel

What's at stake

Generative AI ads need a label

EU AI Act Article 50 requires AI-generated images, audio, and video to be labelled as artificially generated, with limited exceptions. In the UK, the ASA has been enforcing similar transparency principles under existing CAP/BCAP rules.

Deepfakes in political ads are increasingly illegal

California (AB 2655 / AB 2839), Texas (SB 751), New York, and a growing number of US states criminalise or restrict AI-generated political content within defined windows around elections. The EU's AI Act treats election-relevant deepfakes as a special transparency case.

Targeted advertising data is regulated data

Profile-based targeting using ML almost always touches personal data subject to GDPR, CCPA/CPRA, and the EU's Digital Services Act. The DSA prohibits ad targeting based on special-category data and any profiling of minors.

Synthetic endorsers create FTC liability

The FTC's Endorsement Guides explicitly cover AI-generated reviews, testimonials, and synthetic influencers. Failure to disclose AI origin or material connection is treated as a deceptive practice.

Regulations that apply

Do

  • ✓Label all AI-generated creative — image, video, audio — visibly in the ad surface AND in the underlying metadata where the platform supports it (C2PA, SynthID, OpenAI manifest).
  • ✓Run political-content rules per jurisdiction with a calendar: pre-/post-election windows, candidate likeness, voter manipulation language all carry different triggers.
  • ✓Get your DPIA done before launching any new targeting model that uses personal data — EU and UK supervisors expect this.
  • ✓Update your endorser/influencer contracts so the AI-disclosure obligation flows down to anyone you pay or trade with.
  • ✓Maintain an audit trail of which model generated which asset, with timestamps, prompts (or paraphrase), and approval sign-off.

Don't

  • ✗Don't use a real person's likeness or voice in generative AI ads without explicit, recorded consent — increasingly the basis for civil suits even outside dedicated AI laws.
  • ✗Don't use 'lookalike audiences' built from sensitive inferred categories (health, sexual orientation, religion, political view) — flat banned by GDPR + DSA.
  • ✗Don't target minors with AI-driven personalised ads in the EU. Period.
  • ✗Don't deploy generative-AI customer-service bots that pretend to be human — the EU AI Act, FTC, and several state laws now all require disclosure.
  • ✗Don't run political deepfakes within the statutory windows of any US state where the candidate has been the subject of the content — even satire is in scope under many of these laws.

Also worth knowing

If you operate at any scale in the EU: the DSA categorises platforms with >45M EU users as VLOPs (Very Large Online Platforms) which face systemic-risk audits including over generative-AI advertising surfaces. Advertisers on those platforms inherit some compliance via contract. NYC's Local Law 174 (proposed) would add audit duties for AI-driven personalisation; track it.

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Educational guide. Not legal advice. For specific compliance decisions, consult qualified counsel in the relevant jurisdiction.

Note: this guide was drafted with AI assistance — Anthropic Claude.