Artificial intelligence has made it possible for marketers to create ads, product descriptions, images, testimonials and social media content faster than ever.
It has not made the old advertising rules disappear.
As AI becomes embedded in marketing departments, the Federal Trade Commission is increasingly applying longstanding consumer-protection principles to new forms of synthetic content and AI-powered products. The central standard remains Section 5 of the FTC Act, which prohibits unfair or deceptive acts or practices in commerce. In a 2026 proposed AI policy statement, the Commission reiterated that this prohibition applies to representations and omissions involving artificial intelligence just as it does elsewhere in the marketplace.
For marketers, that means the important question often isn’t simply, “Was AI used?” It is, “Could consumers be misled?”
There Is No Universal “Made With AI” Rule
Despite growing discussion about AI transparency, the FTC does not currently require businesses to attach an AI-generated label to every advertisement, image, article or marketing asset created with generative AI. But that should not be interpreted as permission to conceal AI use when doing so creates a materially false impression.
FTC advertising law focuses on what consumers reasonably take away from an advertisement. A technically accurate statement can still be deceptive if important information is omitted or if the overall presentation creates a misleading impression.
That becomes particularly relevant when AI is used to simulate people, experiences, endorsements or evidence that consumers might reasonably assume is genuine.
Fake AI Reviews Are Explicitly Off Limits
Reviews are one of the clearest areas where AI-generated marketing crosses a regulatory line.
The FTC’s final rule on consumer reviews and testimonials prohibits fake or false reviews, including reviews purporting to come from people who do not exist or people who never had the represented experience. The Commission specifically identified AI-generated fake reviews as conduct covered by the rule.
That matters because generative AI can create thousands of convincing product reviews almost instantly. A marketer cannot generate fictitious customers, ask an LLM to write enthusiastic reviews in their voices and publish those reviews as genuine consumer experiences.
The rule also prohibits businesses from buying fake reviews when they knew or should have known the reviews were false, as well as certain practices involving review suppression and incentives conditioned on positive or negative sentiment.
AI Doesn’t Change Endorsement Disclosure Rules
Marketers also need to remember that AI sits on top of the FTC’s existing endorsement framework.
If an influencer, employee or other endorser has a material relationship with a company, that relationship generally needs to be clearly disclosed.
The FTC’s guidance says disclosures should be difficult to miss and placed with the endorsement itself rather than buried on a profile page or hidden behind a “more” button.
AI complicates that principle when marketers create virtual influencers, synthetic spokespeople or AI-generated testimonials. The regulatory question becomes whether the presentation causes consumers to believe they are seeing an authentic person’s independent experience when no such experience occurred. A disclosure saying that an image is AI-generated will not necessarily cure a false underlying claim.
Be Careful What You Claim AI Can Do
Marketers selling AI products face another risk: exaggerating the technology itself.
The FTC has repeatedly warned businesses that claims about artificial intelligence need substantiation. Existing advertising standards require companies to have a reasonable basis for objective claims about what a product can accomplish.
The Commission has backed that position with enforcement. Its AI enforcement docket includes cases involving companies accused of overstating the effectiveness or profitability of AI-powered products and business opportunities. In March 2026, for example, the FTC announced a settlement with Air AI over allegations that the company misled entrepreneurs and small businesses about the earning potential and effectiveness of its conversational-AI business opportunity.
Calling software “AI-powered” does not lower the evidentiary standard behind claims such as “increases revenue,” “eliminates errors” or “performs better than humans.”
Synthetic People Create Another Transparency Problem
Generative AI can now produce realistic human faces, voices and video performances. That capability makes it possible to create a spokesperson who never existed or make a real person appear to say something they never said.
The FTC’s existing Impersonation Rule prohibits certain forms of government and business impersonation, while the agency has separately examined how generative AI can accelerate impersonation fraud.
For marketers, the safer principle is straightforward: don’t use synthetic media in a way that falsely communicates identity, endorsement or personal experience.
AI Chatbots Are Marketing Surfaces Too
Transparency issues extend beyond traditional advertising.
In 2025, the FTC opened an inquiry into consumer-facing AI chatbots, asking companies about how they disclose their products’ features, capabilities, audiences, risks and data practices. The inquiry also examined how companies monetize engagement and communicate with users about how personal information is collected and handled.
That should matter to marketers deploying branded conversational agents. A chatbot that looks and communicates like a human sales representative may raise different consumer expectations than a clearly identified automated assistant. Businesses also need to be careful about claims the bot makes autonomously. Automating the sales conversation does not eliminate responsibility for deceptive representations.
The Practical Rule: Don’t Use AI to Manufacture Trust
The FTC’s emerging AI framework is less about requiring a special disclosure every time artificial intelligence touches a campaign and more about preserving an old principle: consumers should not be deceived.
For marketing teams, that means reviewing AI output through the same lens they would apply to conventional advertising:
- Can you prove the claims?
- Is a testimonial real?
- Is a paid relationship disclosed?
- Does the person depicted actually exist?
- Would consumers misunderstand who (or what) they are interacting with?
- Is important information being omitted?
AI may have transformed how marketing content is produced, but it has not changed the marketer’s responsibility for what that content communicates.
AI Regulation Is Becoming a State-by-State Compliance Nightmare
Besides FTC rules, there is also a mix of state-specific rules that are emerging, covering everything from marketing to transparency to decision-making, security, and compliance.
Read: AI Regulation Is Becoming a State-by-State Compliance Nightmare