The Best AI Commercials of 2026 and What Brands Can Learn

The best AI commercials of 2026 are not the ones that fooled you into thinking they were shot on a RED. They are the ones that used generative tools to do something a traditional production simply could not: personalise at a scale no agency roster could crew, visit worlds no location scout could book, or iterate at a cadence no edit suite could match. That is the lens Absolutely AI uses when we judge the work, and it is the lens this ranking uses too. The spots below are ranked by the strategic lesson a brand team can walk into Monday with, not by how glossy the hero frame looks on a conference screen.

The short list:

• Heinz A.I. Ketchup: best for proving brand equity is its own training data
• Toys R Us Origins: best for stories you physically cannot shoot
• Carvana 1.3M personalised ads: best for scale as the creative idea
• Mango Sunset Dream: best for anchoring synthetic imagery in real product
• Coca-Cola Create Real Magic: best for audience co-creation
• Nescafé localised video: best for market-by-market speed
• Virgin Voyages x Jennifer Lopez: best for licensed likeness done right
• Under Armour x Anthony Joshua: best for AI-restored archive footage

How we ranked them

Every spot on this list was judged against four criteria rather than visual fidelity alone. A beautifully rendered film that could have been shot practically for the same money does not earn a place; the point of the medium is to do something the medium changes. The production reality behind modern AI commercials is that the tool is only interesting when the brief needs what the tool uniquely provides.

• Brand fit: does the AI execution serve the brand's existing world, or does it look like a tech demo wearing a logo?
• Earned-media impact: did the work travel outside paid media on its own merits?
• AI as idea, not tool: is the generative layer the concept, or just the render path?
• Operational outcome: did it deliver something a traditional shoot could not, in volume, speed or scope?

The 8 best AI commercials of 2026

1. Heinz A.I. Ketchup (Rethink)

Rethink's campaign for Heinz asked a range of AI image models to generate pictures of "ketchup" with no brand name in the prompt. The models kept returning the Heinz silhouette: the glass neck, the red label shape, the keystone. The spot was essentially a receipt. Heinz did not need to assert that it owned the category, the training data did it for them.

The lesson for a brand team is the one most listicles miss. If your visual equities are strong enough to survive a blind generative prompt, you have a defensible asset in a world where image models are now part of the audience's visual diet. If they are not, that is a brief for your design system, not your next TVC. Best for proving the point that brand equity work compounds into the AI era, not against it.

2. Toys R Us Origins (Native Foreign)

The first commercial film produced largely with OpenAI's Sora screened at Cannes Lions and told the childhood founding story of Charles Lazarus. The spot's defenders and detractors argued about the texture of the imagery. The more interesting fact is that the film exists at all. You cannot cast a 1930s child, cannot build a period toy store on a shoot budget, and cannot direct a dream sequence as a one-day gather.

The lesson: use AI where live action physically cannot go. Period, dream, memory, speculative future, impossible scale. If the brief could be shot in a studio for the same money, shoot it in a studio. Best for stories a camera could not reach.

3. Carvana 1.3M personalised video ads

Carvana generated more than one million personalised video ads celebrating customers' car-purchase anniversaries, each cut to the specific vehicle, the specific city and the specific date. No agency roster, however large, produces 1.3 million bespoke films by hand. The creative idea was not the aesthetic. The creative idea was the number.

This is the lesson most brand teams underweight. Personalisation at genuine scale is a different product from a hero film, and it is the unlock that generative pipelines deliver more reliably than any single beautiful rendered shot. The parallel in still imagery is the shift to ad creative produced in every variant a channel needs, rather than one master cut-down a dozen ways. Best for proving that scale itself can be the idea.

4. Mango Sunset Dream

Mango's Sunset Dream collection used generative imagery for the campaign's models and backdrops while the garments on screen were the real, physically produced product. The composite was the point. The clothes were anchored in the real world; the styling studio around them was synthetic.

The lesson is a quiet but critical one for retailers moving into AI-led campaigns: anchor synthetic imagery in a real brand asset. The product, the pack, the logo, a real face used with permission. The failure mode on the other side of this line is a campaign that reads as entirely fabricated, which audiences discount. Best for retail and fashion teams wanting the look without surrendering trust.

5. Coca-Cola Create Real Magic

Create Real Magic invited the public to generate their own Coca-Cola art using a curated set of brand assets inside a sanctioned tool, with the best work surfaced on billboards in Times Square and Piccadilly Circus. The AI was not replacing the agency, it was handing the audience a controlled sandbox.

The lesson is that co-creation structured around brand guardrails is a legitimate second track alongside your hero film. It generates earned media, community, and a volume of surprising executions no in-house team would brief. Best for brands with strong visual equities and an existing fan culture.

6. Nescafé market-by-market video

Nestlé's Nescafé work used generative video to localise a single campaign core into dozens of market-specific variants with locally resonant settings, talent types and cultural cues, in a timeline that would previously have required separate shoots in each region. The spot you saw in Jakarta was not the spot that ran in São Paulo.

The lesson is that localisation, which has historically been treated as a post-production and reshoot problem, is now a prompt-and-review problem. Multinational brand teams who still budget for a hero shoot plus a hero cut-down are leaving the real efficiency on the table. Best for brands running coordinated global pushes.

7. Virgin Voyages with Jennifer Lopez

Virgin Voyages ran a campaign built on a licensed, consent-based deepfake of Jennifer Lopez, who recorded a base performance that was then adapted into personalised videos for individual recipients and travel-agent partners. The licensing was explicit, the talent was paid for the derivative use, and the disclosure was clean.

The lesson is the one the industry is still catching up to. Licensed likeness, with contracts that cover derivative generations and clear disclosure, is a usable tool. Unlicensed likeness is a lawsuit and a crisis. If your brief involves a face that is not a cast model, the legal pass is not optional. Best for teams negotiating 2026-era talent deals.

8. Under Armour with Anthony Joshua

Under Armour used AI to restore and extend archival training footage of Anthony Joshua, cutting it against new material to compress a career-length narrative into a sixty-second spot. The archive became usable in a way grainy VHS could not previously be.

The lesson is practical and often overlooked. Many brands sit on decades of under-exploited archive that modern restoration and extension models can bring back to a broadcast standard. Before you brief a new shoot, audit what you already own. Best for heritage brands and sports marketers.

The cautionary tale: Coca-Cola Holidays Are Coming 2024

The 2024 generative remake of Coca-Cola's beloved Holidays Are Coming spot was reportedly built by around one hundred people stitching some seventy thousand generated clips. It is on the losers' bench of every honest review of the era, and the reason is not the technical craft. The reason is that it was a nostalgia asset, and nostalgia assets are a specific trap.

The original worked because audiences had a relationship with the handmade warmth of the 1995 execution. Re-rendering that memory in a different medium does not update the memory. It replaces a loved artefact with an uncanny copy. The principle a brand team should take away is simple: do not remake a beloved human-made asset with AI. Make something new with AI instead, and let the handmade original keep its equity intact.

Comparison: what each spot teaches a brand team

Spot	Strategic lesson	Best for	Watch-out
Heinz A.I. Ketchup	Brand equity is its own training data	Category leaders with strong visual IP	Only works if equities are genuinely distinctive
Toys R Us Origins	Shoot what cameras cannot reach	Period, dream, speculative narrative	Texture debate still real on long-form shots
Carvana personalised ads	Scale is the idea	CRM-heavy categories, auto, retail, finance	Needs clean data pipelines, not just models
Mango Sunset Dream	Anchor synthetic imagery in real product	Fashion, beauty, lifestyle retail	Garment fidelity has to survive the composite
Coca-Cola Create Real Magic	Co-create inside guardrails	Fan-culture brands	Moderation and rights framework required
Nescafé localised video	Localisation is now prompt-and-review	Multinational FMCG	Cultural review per market still non-negotiable
Virgin Voyages x J.Lo	Licensed likeness, cleanly disclosed	Celebrity-anchored categories	Contracts must cover derivative generations
Under Armour x Joshua	Restore and extend what you already own	Heritage and sports brands	Archive rights sometimes messier than new IP

Seven lessons brands can steal

Across the ranking, a set of operating principles repeats. These are the ones a brand team can act on without waiting for the next model release.

1. Lead with the idea, not the tool. If the headline of the brief is "we are using Sora," the work is already in trouble. If the headline is "we are telling a 1930s story," the tool follows.
2. Use AI where live action physically cannot go. Period, dream, impossible scale, speculative futures, worlds that cannot be built on a shoot day.
3. Anchor synthetic imagery with real brand assets. A real product, a real face, a real pack. Audiences discount campaigns that read as fully fabricated.
4. Personalisation at scale is the real unlock. One hero film is a solved problem. One point three million bespoke films is not, and that is where generative pipelines genuinely change the economics.
5. Be transparent about AI use. Clean disclosure protects the brand against the backlash a hidden execution eventually invites.
6. Never remake a beloved human-made asset. Make something new instead. Nostalgia assets are the single most reliable way to lose a culture fight you did not need to pick.
7. Keep a human in the final cut. A senior creative director reviewing hands, eyes, type and continuity is still the difference between a usable deliverable and a meme.

What this means for your next brief

If you are briefing an AI-led commercial in the back half of 2026, the practical changes are small but non-negotiable. Add a line to the brief template that names what AI uniquely enables for this specific idea. Route likeness and talent clauses through legal before the shortlist, not after approval. Build a QC pass into the schedule specifically for hands, eyes, type and brand mark fidelity. And decide upfront whether the deliverable is one hero film, a scaled personalisation set, or a co-creation activation, because those three briefs look nothing alike in practice. Teams that want a reference for how this plays out across stills can read our breakdown of AI versus traditional product photography, where the same principles land in a shorter cycle.

Frequently asked questions

What was the first major AI commercial shown at a global festival?

Toys R Us Origins is widely credited as the first commercial film produced largely with OpenAI's Sora to screen at Cannes Lions. Earlier generative work existed, but Origins was the moment the industry treated AI commercials as a mainstream craft discipline rather than a test.

Which AI tools are agencies actually using in production?

OpenAI's Sora, Runway Gen-3 and Gen-4, Google Veo, Midjourney and DALL-E are the names that appear most often in credits for 2025 and 2026 work, usually in combination rather than alone. The pipeline, not the single model, is the craft.

Are AI commercials cheaper than traditional TVCs?

Sometimes, but cost is the wrong lead question. The honest answer is that AI commercials unlock briefs traditional production cannot deliver at all, such as scaled personalisation or impossible locations, and in those cases the comparison is capability, not budget. Where capability overlaps, costs vary by scope and are quoted per project.

Do audiences dislike AI commercials?

Audiences dislike bad AI commercials, especially remakes of beloved handmade originals. Original work that uses AI to tell a story cameras could not tell, with clear disclosure and a confident craft bar, performs well in both earned media and sentiment tracking.

Is it legal to use a celebrity's likeness in an AI commercial?

Only with an explicit licence that covers derivative generations and a disclosure plan reviewed by legal counsel. The 2026 regulatory environment has tightened considerably on unlicensed likeness, and the Virgin Voyages model with Jennifer Lopez is a useful reference for how a clean deal is structured.

How do we stop AI commercials looking generic?

Treat the generative layer the same way you treat a DOP: as a craft discipline with a point of view. The spots on this list succeed because a senior creative director held the taste bar on every frame. Generic AI output is a direction problem, not a tool problem.

Should a mid-market brand build an in-house AI studio or hire an agency?

Most mid-market brands are better served by an AI-first creative partner than by building a studio from scratch, at least for the first year of serious output. The capability stack moves monthly, and a partner absorbs that cost of change on your behalf while your team focuses on brand strategy.

What is the single biggest mistake brands make with AI commercials?

Leading with the tool instead of the idea. The second biggest is skipping the human review pass at the end. Both are fixable in a brief template.

The verdict

The commercials on this list succeed because each one used generative tools to deliver something a traditional production genuinely could not, and because a human creative director held the standard on the final cut. The failures of the same era, Coca-Cola's 2024 remake chief among them, failed for the opposite reason: they used AI to redo work that was already great the first time. If you are briefing in 2026, read the ranking as a decision tree rather than a highlight reel, and talk to Absolutely AI about your next commercial before the tool choice gets ahead of the idea.