AI Commercial Examples: 14 AI-Made Spots and How Each One Was Produced (2026)

What counts as an AI commercial?

An AI commercial is a TV, online video or social ad where generative AI produced a meaningful part of what you see or hear: the footage, the characters, the voice, the music or the script. That is a wide range, so it helps to sort the examples into three levels before comparing them.

• 1. AI-written: What AI does: Writes the script or concept; What humans still do: Shoots, casts, directs, edits; Examples in this list: Lexus "Driven by Intuition", Mint Mobile
• 2. Hybrid: What AI does: Generates some shots, backgrounds, characters or music; What humans still do: Supplies real footage, product shots, edit and grade; Examples in this list: Under Armour, Motorola, Starburst, BodyArmor
• 3. Fully generated: What AI does: Generates almost every frame, often voice and music too; What humans still do: Concept, prompts, selection, fixes, sound, edit; Examples in this list: Toys"R"Us, Coca-Cola, Kalshi, Popeyes

The level matters more than the tool. A fully generated spot is fast to iterate, but every face, hand and logo is a risk. A hybrid spot keeps the product and people real and uses AI where a shoot would be slow or impossible. In our work, hybrid is where most brand commercials should start.

Why "made with AI" is a production label, not a style

Viewers rarely know which tool made a spot. What they notice is whether faces look alive, whether the product looks right and whether the story feels like it had a reason to exist. Keep that in mind as you read the examples. The tool is the least interesting part of each one.

14 AI commercial examples at a glance

Here is the full list in one table. Timelines and generation counts are the figures the brands, studios or creators reported publicly at the time; where nothing was reported we say so.

• 1: Commercial: Toys"R"Us "Origin Story"; Year: 2024; Level: Fully generated; Reported tools: Sora, plus corrective VFX; Reported timeline or volume: A few weeks; dozens of shots instead of hundreds; Reception: Mixed to negative
• 2: Commercial: Coca-Cola "Holidays Are Coming"; Year: 2024; Level: Fully generated; Reported tools: Several models, including Runway and Kling; Reported timeline or volume: Three versions by three AI studios; Reception: Heavy criticism
• 3: Commercial: Coca-Cola "Holidays Are Coming"; Year: 2025; Level: Fully generated; Reported tools: Newer video models; Reported timeline or volume: 70,000+ clips generated in under a month; Reception: Still criticized
• 4: Commercial: Kalshi NBA Finals spot; Year: 2025; Level: Fully generated; Reported tools: Veo 3; Reported timeline or volume: About 2-3 days; roughly 300-400 generations for about 15 usable clips; Reception: Widely shared
• 5: Commercial: Popeyes "Wrap Battle"; Year: 2025; Level: Fully generated; Reported tools: Veo 3 plus AI music; Reported timeline or volume: Under 3 days; Reception: Viral, mostly positive
• 6: Commercial: Svedka "Shake Your Bots Off"; Year: 2026; Level: Mostly generated; Reported tools: Not disclosed in detail; Reported timeline or volume: 30-second Super Bowl spot; Reception: Debated
• 7: Commercial: Under Armour "Forever Is Made Now"; Year: 2024; Level: Hybrid; Reported tools: AI images, archive footage, CG; Reported timeline or volume: 5,256 images generated, 52 used; Reception: Praised and questioned
• 8: Commercial: Coca-Cola "Masterpiece"; Year: 2023; Level: Hybrid; Reported tools: Live action, 3D and AI image tools; Reported timeline or volume: Not reported; Reception: Positive
• 9: Commercial: Motorola "Styled by Moto"; Year: 2024; Level: Hybrid; Reported tools: Several image and video models; Reported timeline or volume: Thousands of images, animated and composited; Reception: Positive
• 10: Commercial: Starburst "Different Every Time"; Year: 2024; Level: Hybrid, modular; Reported tools: Generative image and video tools; Reported timeline or volume: 20+ AI worlds, 300+ assets; Reception: Award recognition
• 11: Commercial: BodyArmor "Field of Fake"; Year: 2024; Level: Hybrid, anti-AI; Reported tools: AI opening, real athletes; Reported timeline or volume: Super Bowl spot; Reception: Positive
• 12: Commercial: Zevia "Break From Artificial"; Year: 2024; Level: Hybrid, anti-AI; Reported tools: AI opening, live action; Reported timeline or volume: Holiday response ad; Reception: Positive
• 13: Commercial: Lexus "Driven by Intuition"; Year: 2018; Level: AI-written; Reported tools: AI script, human director; Reported timeline or volume: Not reported; Reception: Curiosity, mixed reviews
• 14: Commercial: Spec ads: "Pepperoni Hug Spot" and Veo 3 spec spots; Year: 2023-2025; Level: Fully generated; Reported tools: Runway, Veo 3; Reported timeline or volume: One creator, days not weeks; Reception: Viral

Two things jump out of this table. One: almost every fully generated spot was made by a very small team in days or weeks. Two: the generation volume behind each one is huge. That second point is the one most brands underestimate, and we come back to it in the production section.

Fully generated AI commercials: 6 examples

These are the spots where AI produced nearly every frame. They get the headlines, and they carry the most risk.

1. Toys"R"Us "Origin Story" (2024)

What it is: A roughly one-minute brand film that premiered at the Cannes Lions festival in June 2024. It tells the story of founder Charles Lazarus as a boy, dreaming up a toy store and meeting Geoffrey the Giraffe, the brand's mascot.

How it was made: The brand's in-house studio worked with a creative agency that had early access to Sora. Reports at launch said the film went from concept to finished cut in a few weeks, using dozens of generated shots where a traditional animation pipeline would have needed hundreds of iterations. Human artists added corrective VFX on top of the Sora footage, and the film used an original score.

What happened: Industry press covered it as a milestone. Many viewers called the young Charles "uncanny" because his face shifted slightly from shot to shot.

What to copy: The speed. What to avoid: Building a nostalgic, emotional story around a human face that the model can't hold steady. If your story depends on one child's face across a minute of film, early video models are the wrong tool.

2. Coca-Cola "Holidays Are Coming" (2024)

What it is: An AI remake of Coca-Cola's 1995 holiday spot with the red trucks driving through snowy towns. It ran on TV in the UK and the US in November 2024.

How it was made: Three AI studios each produced a version. Reported tools included Runway and Kling among several other image and video models. The trucks, snow, lights and townspeople were all generated.

What happened: The backlash was fast. Viewers pointed out wheels that didn't turn, faces with odd expressions and a general "cold" feel. Much of the criticism was less about quality and more about the idea of replacing a beloved, human-made ad with a synthetic one.

What to copy: Testing several studios on one brief is smart. It is the AI version of a pitch, and it shows you quickly which team can hold your brand's look. What to avoid: Remaking an ad people love. You are competing with a memory, and AI artifacts read as a downgrade.

3. Coca-Cola "Holidays Are Coming" (2025)

What it is: The second AI version, released in November 2025. It leaned on animals and the trucks, and showed far fewer human faces than the 2024 cut.

How it was made: Reports said the team generated more than 70,000 video clips and assembled the film in under a month. The brand's own AI lead said the craftsmanship was much better than the year before.

What happened: Critics still found inconsistent animation, shifting light and objects that bent. Some argued the sheer volume became part of the problem: so many generated clips, cut together quickly, that no single shot felt designed.

What to copy: Cutting human faces when the model can't hold them. That was a sensible production choice. What to avoid: Treating volume as quality. Seventy thousand clips doesn't mean seventy thousand options; it means a selection job that needs a clear visual rulebook before anyone generates anything.

4. Kalshi NBA Finals spot (2025)

What it is: A chaotic, comedic 30-second commercial for a prediction market that aired during the NBA Finals in June 2025. It shows a string of strange characters (a man in a pool of eggs, a farmer, a retiree in Florida) each betting on something.

How it was made: One AI filmmaker made it with Veo 3. He shared his process publicly: write the script, turn each line into a detailed prompt with an AI chat assistant, generate shots in Veo 3, then edit. He reported roughly 300 to 400 generations to get about 15 usable clips, and a turnaround of about two to three days.

What happened: The spot was widely shared, partly because of the "made in days" story and partly because its weirdness was the point.

What to copy: The format. Fast, absurd, one-gag-per-shot comedy hides AI's weak spots, because nobody expects a man sitting in eggs to look normal. What to avoid: Copying the format for a premium brand that needs polish. Weird works for a challenger; it can cheapen a luxury name.

5. Popeyes "Wrap Battle" (2025)

What it is: A rap "diss track" video aimed at a rival burger chain, released in July 2025 after that rival brought back its snack wrap one day after Popeyes launched its chicken wraps.

How it was made: An AI filmmaker scripted and produced it with Veo 3 for video and an AI music tool for the track. The team reportedly started with image-to-video, found it too slow, and switched entirely to Veo 3. The whole spot (music, visuals and edit) was finished in under three days.

What happened: It spread across TikTok, Instagram and X, helped by the real-world rivalry behind it.

What to copy: Reactive speed. A traditional shoot can't answer a competitor's move in the same news cycle. AI can, if your approvals can keep up. What to avoid: Building a reactive spot without a pre-agreed sign-off path. If legal needs a week, the moment is gone.

6. Svedka "Shake Your Bots Off" (2026)

What it is: A 30-second spot that ran during the Super Bowl in February 2026, starring robot characters dancing. It was billed as the debut of a primarily AI-generated national Super Bowl ad.

How it was made: The brand has not published a detailed breakdown, so we won't guess at tools or team size.

What happened: It started a debate about whether AI belonged in the most expensive ad slot on US TV.

What to copy: The character choice. Robots are a smart subject for an AI spot, for the same reason Coca-Cola dropped faces in 2025: stylized, non-human characters hide the tells viewers look for. What to avoid: Assuming the "AI Super Bowl ad" novelty angle will carry the work. Novelty fades after one airing; the idea has to stand up on its own.

Hybrid AI commercials: real footage plus AI

Hybrid spots keep something real at the center (a product, an athlete, a filmed actor) and use AI around it. This is the level we recommend to most brands, and the examples show why.

7. Under Armour "Forever Is Made Now" (2024)

What it is: A commercial marking the renewal of Under Armour's partnership with heavyweight boxer Anthony Joshua, released in March 2024 before his fight with Francis Ngannou.

How it was made: Joshua was in fight camp and couldn't do a shoot. Director Wes Walker built the film from licensed archive footage, CG and AI-generated imagery. Reports said the team generated 5,256 AI images and used 52 of them in the final edit, about 1 in 100.

What happened: Many in the industry praised the craft. Some filmmakers questioned how much existing footage was reworked, which is a reminder that "AI-made" claims attract scrutiny.

What to copy: The concept came from the constraint. The film exists because the athlete was unavailable, and that gives the AI a reason to be there. What to avoid: Overstating how much AI did. If your spot is mostly archive footage, say so.

8. Coca-Cola "Masterpiece" (2023)

What it is: A spot where a bottle of Coke travels through famous paintings in a gallery, passing from one artwork to the next until it reaches a tired student.

How it was made: It blended live action, 3D animation and AI image tools that helped bring the paintings to life in each artist's style. Human animators and a live-action shoot carried the story; AI handled part of the art transfer.

What happened: It was received far better than the later holiday remakes. Viewers mostly talked about the idea, not the technology.

What to copy: Using AI for a style job (making a still painting move in its own style) where it is strong, and keeping the product and the human moment filmed. What to avoid: Expecting AI alone to deliver this. The finish came from a full animation team.

9. Motorola "Styled by Moto" (2024)

What it is: A fashion-led film for the razr 50 phones, with virtual models wearing outfits inspired by the brand's logo and the phones' colorways.

How it was made: The team generated thousands of images with several AI image and video tools, then animated, upscaled and composited them into one film. The soundtrack was an AI-remixed version of the familiar "Hello Moto" jingle.

What happened: It was covered as a strong example of AI used for a look that would have been costly to build on set.

What to copy: Treating AI output as raw material for compositing, not as finished shots. The polish came from the post-production stage. What to avoid: Generating virtual models for a category where buyers need to see real fit, skin or texture. Fashion moodfilms are fine; product-detail ads need real product.

10. Starburst "Different Every Time" (2024)

What it is: A campaign where two people eat a Starburst and get pulled into strange, shifting AI-generated worlds.

How it was made: The production was modular. The team built more than 20 distinct AI worlds and over 300 bespoke assets that can be mixed and reordered, so the ad can change by placement and rotation. It earned recognition at the Clio Awards.

What happened: The format matched the brand promise (every chew is different), so the AI felt like part of the idea.

What to copy: Building a library of AI assets, not a single film. For performance media on Meta and TikTok, modular assets give you dozens of variants to test. We cover how that testing works in our guide to AI video ads for Meta and TikTok. What to avoid: Building modules without a rule for which combinations are allowed. Random mixing produces random quality.

Anti-AI commercials: when AI is the villain

Two brands used AI imagery to make a point about being real. They are worth studying because they show what audiences dislike about synthetic ads.

11. BodyArmor "Field of Fake" (2024)

What it is: A Super Bowl spot that opens on a bizarre AI-generated sports world with distorted athletes and strange product shots, then cuts to real athletes and real footage.

How it was made: The opening was deliberately generated to look wrong. The second half was filmed with real athletes.

What happened: It was well received, because it turned the flaws of AI video into the joke and the message: artificial versus real, which mirrors the brand's ingredient story.

What to copy: Using AI's tells on purpose. If the uncanny look is the message, the flaws stop being a risk.

12. Zevia "Break From Artificial" (2024)

What it is: A holiday ad released after the 2024 Coca-Cola remake. It opens with uncanny AI holiday scenes (a drone-flying Santa, odd polar bears, warped people drinking soda), then switches to real people opening cans.

How it was made: AI-generated opening, live-action payoff.

What happened: Social media loved the timing, and many commenters read it as a direct response to the bigger brand's AI ad.

What to copy: Reactive positioning. A small brand used a big brand's AI backlash to say something about its own product, and it needed AI to do it.

AI-written commercials and spec ads

Not every AI commercial uses generated footage. Some of the earliest examples used AI only for the script, and some of the most influential ones were made by independent creators for brands that never asked for them.

13. Lexus "Driven by Intuition" (2018)

What it is: A 60-second commercial for the Lexus ES, promoted as an ad scripted by AI, a novelty at the time.

How it was made: An AI system was trained on about 15 years of award-winning car and luxury ads and produced the storyline. An Oscar-winning human director, Kevin Macdonald, then shot it with real actors and real cars.

What happened: It got attention for the "AI wrote this" angle. Reviews of the story itself were mixed, which is a useful lesson: AI trained on past winners tends to write an average of past winners.

What to copy: Using AI for script exploration, then letting a human director make the final calls. What to avoid: Expecting a model trained on old ads to produce a fresh idea.

Mint Mobile and the AI-written script

In January 2023, Ryan Reynolds asked ChatGPT to write a Mint Mobile commercial in his own voice, with a joke and a mention of the brand's holiday promotion. He then filmed and released the script, joking about how uncomfortably good it was. It was a cheap, fast stunt that got coverage because a famous face was reacting to the AI, not because the script was great.

14. Spec ads: "Pepperoni Hug Spot" and the Veo 3 wave

What it is: "Pepperoni Hug Spot" was a 2023 spec commercial for a pizza place that doesn't exist, made by one creator mainly with Runway's text-to-video model plus AI voice and music. Its melting faces and surreal pizza shots went viral. In 2025, a new wave of spec ads made with Veo 3 (including unofficial spots for well-known drink and snack brands) showed how much the tools had improved in two years.

How it was made: One creator, consumer tools, days of work.

What happened: These spec ads did something the brand campaigns couldn't: they showed agencies and clients what was possible, and set expectations for speed.

What to copy: Spec work as a way to test a concept before you commit a budget. What to avoid: Mistaking a spec ad for a campaign. A spec ad has no legal review, no brand guidelines, no media plan and no product accuracy check. A real commercial has all four.

How AI commercials are actually produced

Across all 14 examples, the production pipeline looks surprisingly similar. Here it is as a step-by-step process, based on what the teams above reported and on how we run AI commercials for brands.

1. Find the constraint. The strongest spots start with a reason AI is needed: the athlete is unavailable (Under Armour), the moment will pass in days (Popeyes), the brand promise is "different every time" (Starburst). If you can't name the constraint, a shoot may be the better choice.
2. Write the script and shot list. Keep shots short (usually 2 to 6 seconds) because current models hold quality best in short bursts. Note which shots need a real product, real people or real text.
3. Build a style bible. Lock the look before generating: color palette, lens feel, lighting, character sheets and product references. This is what stops a 70,000-clip pile from turning into chaos.
4. Generate at volume. Expect to throw most of it away. Generate several takes per shot and several variations of each prompt.
5. Select ruthlessly. One editor or creative director decides, against the style bible, which takes survive.
6. Fix and composite. Replace product shots with real renders or photography, fix hands, logos and on-screen text, and stabilize faces across cuts.
7. Sound. Voiceover, music and sound design. Many fully generated spots still used a human composer or sound designer.
8. Edit, grade and cut down. Make the hero cut, then 15-second, 6-second and vertical versions for social.
9. Review and label. Legal review for likeness, music and claims, then apply the AI disclosure each platform asks for.

The selection ratio nobody talks about

The most useful number in this whole article is the selection ratio: how many generations it takes to get one usable shot. The reported figures are striking.

• Under Armour "Forever Is Made Now": Generated: 5,256 images; Used: 52; Rough ratio: About 100 to 1
• Kalshi NBA Finals spot: Generated: About 300-400 video generations; Used: About 15 clips; Rough ratio: About 20-25 to 1
• Coca-Cola "Holidays Are Coming" 2025: Generated: 70,000+ clips; Used: One hero film plus cutdowns; Rough ratio: Not comparable, but very high

These are reported figures from different kinds of work (still images versus video clips), so treat the ratios as rough. The lesson holds anyway. When someone tells you an AI commercial was "made in two days", the two days were spent generating and rejecting, not typing one prompt. Plan your timeline and your review time around selection, not generation.

Where the human team still did the work

Look closely at each example and you find people in the same places: concept, art direction, selection, compositing, sound and final edit. AI replaced the camera, the set and some of the animation. It did not replace taste. That is why we pair every AI production with a human creative team, and why the tools we tested on paid campaigns matter less than who is choosing the shots.

What separates the AI commercials that worked from the ones that backfired

Put the successes and the failures side by side and a clear pattern appears.

• Tone: Worked: Comedy and absurdity (Kalshi, Popeyes, spec ads); Backfired or divided opinion: Nostalgia and warmth (Coca-Cola remakes, Toys"R"Us)
• Characters: Worked: Stylized or non-human characters (robots, animals, virtual models); Backfired or divided opinion: Realistic human faces held across many shots
• Reason for AI: Worked: A real constraint behind the choice (Under Armour); Backfired or divided opinion: AI used mainly because it was new
• What stays real: Worked: Real product and real people at the center (Masterpiece, BodyArmor); Backfired or divided opinion: Fully synthetic versions of something people already loved
• Fit with the brand: Worked: AI's look matched the brand promise (Starburst); Backfired or divided opinion: AI's look clashed with the brand's emotional promise

The 2025 McDonald's Netherlands Christmas ad, which was pulled after a backlash, fits the backfired pattern too: festive, human, nostalgic, and fully generated.

A five-question test before you commission an AI commercial

1. Is there a real reason this needs AI (speed, access, a look that can't be shot)?
2. Will viewers forgive visible AI here, or will it feel like a cheap substitute?
3. Can we keep the product, logo and key text real?
4. Do any shots depend on one realistic human face staying consistent?
5. Are approvals fast enough to use AI's speed?

If you answer "no" to question 1 or "yes" to the fourth, rethink the format before you generate anything.

How to brief your own AI commercial

You don't need a Super Bowl slot to use what these brands learned. Here is how we take an AI commercial from brief to launch, typically in about 7 days for a 15 to 30-second spot with social cutdowns.

1. Day 1: brief and constraint. Agree the goal (awareness, launch, sales), the platforms, the one message, and the reason for using AI. Collect product photos, brand guidelines and any must-have claims.
2. Day 1-2: concept and script. Two or three short concepts, one chosen, then a shot-by-shot script with timings.
3. Day 2: style frames. Still frames for key shots so you approve the look before any video is made.
4. Day 3-4: generation and selection. The team generates and selects shots against the style bible.
5. Day 5: composite and sound. Real product shots go in, text and logos are fixed, voice and music are added.
6. Day 6: rough cut and one revision round. You review the hero cut.
7. Day 7: final cuts and delivery. Hero, 15-second, 6-second and vertical versions, with captions in each language.

You can see what this produces in our AI video portfolio, from CGI-style product spots to realism ads.

What to put in the brief

• The single message the viewer must remember
• Who is watching and where (TV, YouTube, Meta, TikTok, Snapchat, in-store screens)
• The level of AI you are comfortable with (written, hybrid or fully generated)
• Real assets you can supply: product photos, 3D files, logo files, talent footage
• Faces: real talent with consent, stylized characters, or no faces at all
• Languages and markets
• Must-have and must-not-have claims, for legal review
• How many cutdowns and aspect ratios you need

What drives the effort and the budget

We don't publish prices, because the honest answer depends on the brief. These are the factors that move the effort up or down:

• Length and number of shots. A 15-second spot with 6 shots is a different job from a 60-second film with 30.
• Character consistency. One realistic person across many shots takes far more generation and fixing than stylized characters.
• Product accuracy. Packaging, labels and fine text usually need real renders or photography composited in.
• Languages. Each extra language means new voiceover, new captions and sometimes new on-screen text.
• Cutdowns and formats. Every extra aspect ratio and duration adds edit time.
• Rights. Licensed music and real talent likeness add contracts and review.

Compared with a traditional shoot, AI wins on speed and on the number of variants you can test. A shoot still wins when you need real people delivering real emotion. For a price on your own spot, get a quote from our AI video production team.

AI commercials for Dubai and GCC brands

Almost every famous AI commercial so far was made for the US or European market. Brands in the UAE and the wider Gulf can use the same techniques, with a few local adjustments that we build into every brief.

Arabic and English from the start

Plan both languages in the script, not as an afterthought. Arabic voiceover, right-to-left captions and on-screen text that reads correctly need checking by a native speaker. AI tools still make mistakes with Arabic lettering inside generated scenes, so we add Arabic text in post-production rather than generating it.

Timing around the regional calendar

Ramadan, Eid al-Fitr, Eid al-Adha, UAE National Day and the Dubai Shopping Festival are the moments when brand commercials matter most in the region. AI's speed is useful here: you can produce a seasonal spot and its cutdowns in days, and react to what is working early in the season.

Representation and cultural review

Generated people default to the look of their training data. If your audience is Emirati, Saudi, South Asian or a mix, direct the casting of generated characters as carefully as you would a real casting, and review dress, gestures and settings for cultural fit. When in doubt, stylized characters or product-led storytelling avoid the problem.

Likeness and consent

Never generate a recognizable real person, including a local celebrity or influencer, without a written agreement covering AI use. The same goes for cloned voices. If you work with influencers in the UAE, check the current rules from the UAE Media Council as well. Our guide to AI video production in Dubai covers how to choose a production partner who handles this properly.

Do you need to label an AI commercial?

On most major platforms, yes, when the content looks realistic. Rules are changing, so check each platform's current policy before launch.

• YouTube asks creators to disclose content that is meaningfully altered or synthetic and looks realistic, and adds a label to the video. See YouTube's guidance on disclosing altered or synthetic content.
• TikTok asks you to label realistic AI-generated content and can add an "AI-generated" label automatically. See TikTok's rules on AI-generated content.
• Meta (Facebook and Instagram) shows "AI info" labels on content it detects as AI-generated or edited, and its ad tools disclose when Meta's own generative features were used.

For TV and out-of-home, rules depend on the broadcaster and the market. Our view is simple: if a viewer could mistake a generated person or event for a real one, label it. Honest labeling costs you very little, and getting caught hiding AI costs a lot.

Frequently Asked Questions

What are some good AI commercial examples?

Well-known AI commercial examples include Toys"R"Us "Origin Story", made with Sora in 2024; Coca-Cola's AI remakes of "Holidays Are Coming" in 2024 and 2025; Kalshi's NBA Finals spot and Popeyes' "Wrap Battle", both made with Veo 3 in 2025; and Under Armour's "Forever Is Made Now", which mixed archive footage with AI imagery. Starburst, Motorola and BodyArmor are strong hybrid examples.

How are AI commercials made?

Most follow the same pipeline: a concept with a clear reason to use AI, a script and shot list, a style bible, generation of many takes per shot, strict selection, compositing of real product shots and text, then sound, edit and cutdowns. Teams often generate dozens or hundreds of takes for each shot they keep. Human creatives still handle concept, selection, sound and the final edit.

How long does it take to make an AI commercial?

Reported timelines range from under three days (Popeyes) and two to three days (Kalshi) to a few weeks (Toys"R"Us) and about a month (Coca-Cola 2025). For a typical 15 to 30-second brand spot with social cutdowns, we usually go from brief to launch in about 7 days. Extra languages, consistent realistic characters and complex product shots add time.

Why did some AI commercials get a backlash?

The commercials that drew criticism usually replaced human warmth in nostalgic or festive moments, like Coca-Cola's holiday remakes, or relied on realistic faces that the model could not keep consistent, like the young founder in the Toys"R"Us film. Viewers noticed artifacts and read the AI as a cheaper substitute. Comedic, stylized and hybrid spots have been received much better.

Can a small brand make an AI commercial?

Yes. Several of the most shared AI commercials were made by one creator or a very small team in a few days. The catch is that a brand commercial still needs brand guidelines, accurate product shots, legal review and cutdowns for each platform. A small brand gets the best results from a hybrid approach that keeps its real product at the center.

Do AI commercials need to be labeled?

On YouTube and TikTok you are asked to disclose realistic AI-generated or altered content, and the platforms add labels. Meta shows "AI info" labels on content it identifies as AI-made. Rules for TV and other media depend on the market. As a rule of thumb, label anything a viewer could mistake for a real person or event, and get written consent for any real likeness or cloned voice.

Make your own AI commercial with XMA

The AI commercial examples above show that the tool is never the hard part. The hard part is the idea, the selection and the finish: choosing the right level of AI, keeping your product real, and knowing when a shoot is still the better call.

That is the work we do every day for brands in Dubai, the wider GCC and global markets, with AI speed and a human creative team, from brief to launch in about 7 days. If you have a launch, a season or a competitor move coming up, book a strategy call and we'll tell you honestly which level of AI fits your commercial.