AI Ads: What Works, What's Legal, and How to Test Them

AI ads are ads where artificial intelligence makes the creative, runs the targeting and delivery, or both. On Meta, Google, Microsoft and TikTok, machine learning already decides who sees which ad, so AI-made creative pays off mainly as a cheap way to test more angles. The angle, the offer and the proof still come from people who know the buyer, and the landing page decides whether any of it makes money.

Most pages on this topic blur those two meanings, then argue about whether AI ads "work." That question has no answer until you say which kind you mean and what you measure. If you sell a high-ticket offer, the measure is cost per booked call. Not clicks, not likes, not comments.

What are AI ads? Two different things

"AI ads" covers two layers of the same campaign. Separate them, because they fail in different ways.

If you buy traffic on Meta or Google, you already run the second kind. Meta Advantage+ automates audience, placement and budget. Google Performance Max buys YouTube, Display, Search, Discover, Gmail and Maps inventory from a single campaign, and AI Max for Search adds broader query matching, generated ad text and automatic landing page selection. Microsoft Advertising has now opened its own AI Max to every advertiser. TikTok Smart+ automates targeting, budget, placements and creative, and lets you switch each module off, which is why we say to test Smart+ like a performance stack. OpenAI sells ads inside ChatGPT too, a channel worth piloting before you move budget.

The machine picks the audience. Your job moved upstream, into the ad itself.

Why creative became your targeting

When the platform chooses who sees the ad, the ad is the brief. Meta's Andromeda system narrows the pool of eligible ads for each person before the auction runs, and Meta built it for a world where generative AI multiplies the number of ads in the system. We broke down the mechanics in our Meta Andromeda guide. The short version: each genuinely different ad gives the system another route to a buyer.

That is the real case for AI-made creative. Not that a model writes better than your best closer. It does not. The case is that a model can turn five human angles into twenty executions in an afternoon, and AI-run delivery has more to work with when the ads say different things.

Variety means angles, not colors. Ten recolors of one hook are one ad to a buyer. These are the angles worth separating:

• Pain: what the problem costs them today.
• Outcome: the specific result they want, in their words.
• Mechanism: why your method works where the last one failed.
• Proof: a real client, a real number, a real screenshot.
• Objection: the reason they have not bought yet, such as price, time or "I tried this before."
• Identity: who the offer is for, and who it is not for.

AI can draft executions of every one of these. It cannot tell you which pains your buyers say out loud. Pull those from sales call recordings, applications and closed-lost notes, then hand the model the exact words.

Do AI-generated ads actually work?

On clicks, the best evidence says yes, with one condition. On booked calls and revenue, nobody has published proof either way. Here is what the two most cited studies found.

The Columbia, Harvard and TUM display ad study

Researchers from Columbia Business School, Harvard Business School and the Technical University of Munich analyzed display campaigns on Taboola covering more than 16 billion impressions and 116 million clicks from over 7,000 advertisers ("AI in Disguise" by Exner, Hartmann, Netzer and Zhang). For a fair comparison, they matched ads made by the same advertiser on the same day, in the same campaign, pointing at the same landing page, where some used AI-generated images and some did not.

• Before controls, the AI-image ads averaged a 0.76% click-through rate against 0.65% for the human-made ones.
• Within the matched tests, AI and human ads performed about the same on average.
• AI images beat human images only when they did not look AI-made. AI ads that read as AI lost the edge.
• Large faces and polished aesthetics read as human to viewers. Intense color saturation read as AI.
• In purchase campaigns, the AI images showed no significant effect on conversions, and the authors note their data did not cover landing pages, so conversion effects could not be cleanly pinned on the images.

One caution before this goes into a pitch deck: the data comes from native display placements on Taboola, not Meta or TikTok feeds.

The MIT IDE personalized video experiment

Madhav Kumar, a fellow at the MIT Initiative on the Digital Economy, and Anuj Kapoor of the University of Missouri ran a WhatsApp field experiment with more than 21,000 consumers of an Indian retailer of eco-friendly products (MIT IDE summary). Personalized videos with an AI avatar beat personalized image ads on click-through rate by 9.4 percentage points and generic videos by 6.5 points. The authors flag two limits. It was a single exposure, so novelty may explain part of the lift. And the marketing team kept full control of the message, using AI as a production tool rather than the creative engine.

What the research means for a high-ticket funnel

Both studies stop at the click. Your business does not. A click that books nothing is a cost, so read the research as permission to test, not proof of profit:

• AI creative can match human creative on attention when it does not look synthetic.
• Faces carry trust. Use real ones for anything that implies a real person or a real result.
• The page after the click still decides the economics.

That last point is where most of the money hides. Dillon Kivo sells a high-ticket offer through a book-a-call funnel fed by Meta ads. With the funnel we built and the ads we ran, his booked calls went from 44 to 94 in 30 days while unique visitors rose only 10%, because landing page conversion went from 5.3% to 10.3%. The traffic barely moved. The page did the work. If your ads already get clicks, fix the landing page your paid traffic hits before you fund more creative.

Is AI advertising legal?

Using AI to make an ad is not illegal in itself in the US or the EU. The rules attach to deception, disclosure and political content. This is a practical summary, not legal advice, so run anything borderline past counsel.

United States: the FTC

The FTC's Rule on the Use of Consumer Reviews and Testimonials took effect on October 21, 2024 (FTC questions and answers). It bans fake reviews and testimonials, including AI-generated ones, attributed to people who do not exist or never used the product. The FTC's guidance adds the part most ad buyers miss: the rule has no blanket ban on AI avatars. An avatar delivering a testimonial breaks the rule only if the underlying testimonial is fake or false, though an avatar can still be deceptive under the FTC Act. Using a celebrity avatar to praise a product without permission breaks the rule when people would believe the celebrity endorsed it.

Coaches, consultants and course sellers should also know Operation AI Comply, the FTC sweep against business-opportunity schemes that promised AI-powered income from online stores. The agency's line was blunt: there is no AI exemption from the laws on the books. If your ad says AI will make the buyer money, treat it like any income claim. If you cannot back it up, it does not run.

Platform rules: Meta, Google and TikTok

• Meta requires a disclosure when a social issue, electoral or political ad uses a photorealistic image or video, or realistic audio, that was digitally created or altered to show a real person saying or doing something they did not, a realistic person or event that does not exist, or altered footage of a real event. Undisclosed ads get rejected, and repeat failures bring penalties.
• Meta also labels ads created or materially edited with its own generative AI features with "AI info." When the tool generates a photorealistic person, the label sits next to "Sponsored."
• Google requires election advertisers to tick the "Altered or synthetic content" box when an ad depicts realistic synthetic people or events, and generates the disclosure automatically on some formats.
• TikTok labels content from its Symphony Creative Studio as "AI-generated" when its ad policy requires disclosure.

European Union: the AI Act

The transparency rules in Article 50 of the EU AI Act apply from August 2, 2026 (European Commission timeline). Two parts touch advertisers:

• If you publish a deepfake, meaning AI-made or altered image, audio or video that resembles real people, places or events and would pass as authentic, you must disclose that it is artificial. Evidently creative, satirical or fictional work carries a lighter duty.
• Companies that build generative tools must mark the output in a machine-readable way. Certain tools already on the market before August 2, 2026 have until December 2, 2026 to comply.

The rules worth running every account by:

1. If a testimonial did not come from a real customer with real experience, it does not run. AI or not.
2. If an ad shows a real person saying something they did not say, it does not run.
3. If an avatar speaks, it speaks as the brand, never as a client.
4. If the ad touches politics or a social issue, use the platform's disclosure every time.
5. If you sell into the EU, label anything that would pass as real footage.

Is Coca-Cola using AI ads?

Yes. Coca-Cola remade its 1995 "Holidays Are Coming" commercial with generative AI in 2024, then released new AI-made versions in 2025 with the AI studios Secret Level and Silverside AI. Both rounds drew backlash. Critics called the 2024 film "soulless," and after the 2025 launch, the media intelligence firm CARMA measured positive conversation falling from 23.8% to 10.2%, while negative conversation held near a third, 31.4% before and 32% after (Marketing-Interactive).

Coca-Cola's own position is that human creativity stays at the heart of its advertising while AI handles production. That split is right. The lesson is about where the AI showed. A soda brand can absorb a rough week of sentiment. A consultant or expert brand sells trust, and synthetic-looking creative spends exactly that. Use AI where the buyer does not need to believe a human was there. Keep it away from anything that stands in for proof.

How to test AI ads on cost per booked call

Here is the test to run when AI creative goes into a high-ticket account. It works on Meta, TikTok and Google video, and it keeps the platform from grading its own homework.

1. Write the angles by hand. Pull four to six distinct angles from sales calls, applications and closed-lost notes. Each one names a different pain, outcome, mechanism, proof point or objection.
2. Produce two or three executions per angle. One human-shot (founder to camera or a real client), one AI-assisted (a generated scene, a motion static or AI b-roll under a human voice), and optionally a hybrid. Every angle gets a human control.
3. Freeze everything else. Same offer, same landing page, same form, same calendar for the whole test window. Change the page mid-test and you learn nothing.
4. Send the right signal. Fire the standard Lead event only on a submitted application, and pass booked and showed calls back to the platform. Optimize on a cheap action and the algorithm finds you cheap people.
5. Give each angle a fair budget. Let an angle spend about three times your target cost per booked call before you judge it. Less than that is noise.
6. Judge on cost per booked call first, then show rate and close rate. Use click-through rate only to diagnose a hook.
7. Promote the angle, not the asset. When an AI execution wins, keep the angle and reshoot it with real proof before you scale spend behind it.

Show rate is a funnel problem as much as an ad problem. Confirmation pages, reminders and pre-call content carry most of it, which our booking funnel guide walks through step by step. When Meta is the channel, our Meta ads management for high-ticket offers is built around this loop.

What percent of ads are AI now?

No reliable figure exists for the share of all ads made with AI. Platforms do not publish one, and surveys measure intent, not output. The closest verified data points:

• In the IAB's 2025 Digital Video Ad Spend and Strategy report, 86% of video ad buyers said they use or plan to use generative AI to build video creative, and buyers projected that gen AI creative would reach 40% of all ads by 2026. That is a forecast from buyers, not a count.
• In the Columbia-led study above, by the end of a 73-day window that spanned the July 2023 launch of Taboola's free generative ad tool, 6.25% of advertisers had used it at least once, and it produced 3.04% of ad images after launch.

Treat any "percent of ads" figure quoted without a source as marketing. The number that matters is whether your AI-assisted ads win on booked calls.

Where AI belongs in your ads, and where it does not

That split is how we approach ad creative production: people own the angle and the proof, AI scales the executions, and the numbers pick the winners. When the founder is the face of the offer, real video still does work no generator can, which is why VSLs and testimonial shoots stay in the plan.

Getting clicks but not booked calls? Run a free landing page audit and check whether the page is the leak before you blame the creative.