Cannes Lions 2026: When the Product Becomes the Creative Idea
SOS POS, Uber Eats and UVA show how a service, an app and a cultural moment can become creative material. What must a team build around an idea to make it work?
If your phone has just been stolen, a banking app is a rather inconvenient place to put the emergency exit.
BCP’s SOS POS addressed that problem in Peru by letting customers block their cards through payment terminals at its banking agents, participating local businesses. The creative idea changed how a service could be reached at the moment it was needed. A better message about security would have left the original problem intact.
That is the part of Cannes Lions 2026 I find most useful for thinking about AI in marketing. Several recognised campaigns made a product, a service or an existing behaviour do something new. Their value depended on what happened after someone encountered the work.
AI can help a team notice, develop and produce such ideas. It also makes it easier to fill a calendar without having one. The question is what connects an interesting observation to an experience worth delivering, and how the organisation knows whether it delivered it.
Follow the change the work makes
Three cases give us different answers. SOS POS added a route to financial protection. Uber Eats made its app a place to construct a Super Bowl commercial. UVA connected a live lyric to a short-lived offer inside its delivery app.
Cannes awarded them the Creative Data, Media and Direct Grands Prix respectively. The festival’s day-three announcement explains the jury’s interpretation; the brand and agency accounts below describe the mechanisms and reported results.
The useful comparison is therefore how each idea worked: the problem or opportunity it addressed, the part of the business it used, the action it invited, and the outcome that would justify repeating it. That gives us a way to learn from the work without treating an award as a complete account of effectiveness.
It also keeps the AI question in its proper place. These cases are not evidence that every winning campaign used generative AI. They are examples against which to ask where assistance would help, which decisions remain unresolved, and what has to work beyond asset production.
SOS POS: protection when the phone is gone
Mobile banking concentrates convenience in one device. Losing that device can also mean losing access to the channel normally used to protect the account. SOS POS found an alternative in infrastructure already present in local businesses.
BCP’s description of the service explains emergency blocking through its banking agents’ POS terminals, without a phone. Customers use their identification and enter their banking PIN directly on the terminal; the service blocks their BCP debit and credit cards. Circus Grey developed the work with the bank. The protection applies to BCP cards through that network.
The existing network mattered because the person needed a nearby route to action. The information passing through that network mattered because the bank had to identify the customer and apply the right block. Here, data was part of the service itself. It was doing a different job from the campaign dashboard.
That is the transferable creative move: inspect the condition under which an ordinary customer process fails, then ask whether another part of the business can meet the need. A brand’s promise becomes more credible when its operations make the promise usable.
The work also shows why a simple public idea may require substantial coordination. In a service of this kind, the bank must control authentication, confirmation and failure handling. The local operator needs a process they can explain. The customer needs to know whether protection has actually taken effect. Those are operating requirements implied by the service, not details established by watching its case film.
Grey’s case page reports more than US$7.8 million protected in four months and a 48% fall in monthly reports of money theft. Those figures are agency-reported. The page does not provide enough method to treat the first as money that would certainly have been stolen, or the second as a controlled estimate of the service’s effect. The distinction leaves the useful idea intact while giving a future evaluator something more precise to investigate.
An AI assistant might help a team find inaccessible service paths or review proposed customer instructions. A live decision to block cards belongs in the bank’s authorised transaction system. Creative usefulness does not remove that boundary.
Uber Eats: participation inside the product
Uber Eats approached a different problem: how could a Super Bowl audience participate in the brand’s joke rather than only watch it?
Special’s Build Your Own Super Bowl case describes an in-app experience with more than 1,000 possible versions of the commercial. Fans could combine material around the campaign’s proposition that football exists to sell food, including celebrity appearances. Participation had a recognisable story to play with.
The app therefore carried two roles. It remained the service through which people could order, while also becoming a place to encounter and assemble campaign material. The usual sequence, watch an ad and then visit the product, gained another route: enter the product and take part in the communication.
That does not make every checkout screen a media opportunity. The idea worked at the level of a particular product and occasion: a food-delivery app, a food-centred joke, and a sporting event around which people already organise eating. Moving the same mechanic into an unrelated service could produce little more than an obstacle before the task someone came to complete.
A team borrowing the approach should examine that fit before commissioning a large content library. Does participation give the person something enjoyable or useful? Can they reach the normal service without being forced through the promotion? Do the combinations make sense, and do the rights cover how the material will be assembled and shared?
Those questions connect creative development to product design, talent agreements, engineering and commerce. They also explain why a thousand combinations are not a thousand independent ideas. Variety can extend a strong premise; it cannot supply the missing premise.
The Cannes announcement credits the work with record-breaking sales, but supplies no baseline or comparison sufficient to isolate the campaign’s contribution. A better evaluation would connect participation to completed, fulfilled orders and subsequent behaviour, accounting for offers and the unusual demand of the event. High sales during a Super Bowl still leave the question of what the campaign added.
Generative AI could assist with story exploration, adaptation or quality checks. The documented experience does not establish that these versions required a generative model. Combining approved filmed material is a distinct production method, with its own creative craft and controls.
UVA: prepare the operation before the moment
UVA’s opportunity depended on a much narrower window. During Bad Bunny’s Super Bowl halftime performance, the lyric “Uva Uva Bombón” gave the Puerto Rican delivery app a connection between its name and a moment people were watching together.
According to de la Cruz Ogilvy’s campaign account, the app unlocked selected products priced at $1 when the lyric was sung. The offer lasted during the performance or until stock ran out. The agency reports that the available products sold out before the performance ended.
The timing was part of what the offer meant. The lyric gave people a reason to recognise the brand; the app gave that recognition somewhere to go. A generic discount released after the conversation had moved on would have been a different idea.
Yet an immediate response can depend on considerable preparation. To make a comparable activation work, a team would need to settle the eligible products, stock, discount funding, customer terms and launch decision before the event. It would need a response if the expected cue never arrived, the app failed, or demand exceeded what fulfilment could handle. These are requirements for adapting the mechanism, rather than a claim to know UVA’s internal process.
For years, brands have talked about cultural relevance as if culture waited for approval. It does not. The remedy is to prepare the decisions that can be made in advance and identify who can make the remaining call. An endless approval chain and unrestricted automatic posting are both poor answers to a short-lived opportunity.
AI could help monitor candidate signals, collect context and prepare options. A system detecting a phrase should not acquire permission to discount inventory or publish a cultural claim merely because it detected it confidently. Confidence concerns whether the signal was recognised; authority concerns who may commit the business.
The sell-out is useful evidence of response under the reported offer. Without the quantity available, the cost of the subsidy and later customer behaviour, it cannot tell us the size or durability of the commercial gain. Copying the discount may reproduce the expense while missing the cultural recognition that made the activation interesting.
Useful work takes more than one form
These cases do not imply that every campaign should become an app feature. Other work from the original Cannes discussion changes the relationship in different ways:
| Work | What changed | What a team should examine before borrowing it |
|---|---|---|
| AXA France, Three Words | The insurer extended support under its home-insurance offer to domestic violence, including emergency relocation. | Whether the promise is backed by eligible cover, trained support and a workable route to help. |
| Škoda, DuoBell | A mechanical bicycle-bell prototype was designed to be more audible through active noise-cancelling headphones. | Which headphones and conditions were tested, and what would be needed to establish wider safety benefits. |
| KitKat, The KitKat Heist | A response to a stolen shipment invited people to check batch codes through a tracker. | Whether participation serves the real incident and remains appropriate to the people affected. |
| Heineken, Could Have Been a Heineken | A WhatsApp promotion exchanged qualifying long voice notes for an invitation to meet over a beer. | The handling of forwarded messages, age eligibility and whether an offer leads to the claimed social experience. |
| Columbia, Expedition Impossible | A challenge to find the Earth’s edge turned a subculture’s belief into an outdoor-brand provocation. | The fit between humour, product identity, audience and the actual terms of the challenge. |
The sources matter to how we read that table. AXA added domestic-violence cover in 2025, and its current guarantee page describes the eligibility and assistance conditions. The work received the 2026 Creative Effectiveness Grand Prix. The idea entered the product promise, where it also created an obligation to deliver.
Škoda’s DuoBell account explains the acoustic design, prototype trials and plans to share the research. The brand’s Slovak account identifies it as a prototype unavailable for purchase. The creative contribution is a product response to changed listening habits; the trials’ conditions still matter when assessing any wider safety benefit.
Burson’s KitKat case describes public statements followed by the batch-code tracker, working with VML. There is a lesson in coordinating factual communication and participation. There is no general rule that a crisis improves when it becomes entertainment. A chocolate theft and an incident involving injury would demand very different judgments.
Heineken’s launch account describes an initial Brazilian test for adults, with qualifying messages longer than three minutes and vouchers linked to bars. An invitation to reconnect is a defensible description of the mechanism. Evidence that it improved relationships would require a different study.
Columbia’s challenge page makes the outdoor provocation visible, including carefully bounded prize terms. It shows another purpose for creative work: amusement, identity and a reason to talk. Marketing does not have to become a public utility to justify its existence. Enjoyment is a human use too. The task is to understand the value the idea offers, then examine whether the experience supports it.
Creators can shape what the brand makes
Vaseline Originals adds something the product and service examples alone could miss: the source of the idea may sit outside the organisation.
Ogilvy’s case identifies Jen Chae’s brow-taming use and Lauren Luke’s primer use of Vaseline among the early creator practices that informed the products. Unilever’s later account connects the range to the earlier Vaseline Verified work, in which scientists tested community uses. Originals launched on TikTok Shop in Thailand with creator involvement, and the featured creators earned from sales.
That sequence matters. Observing a popular hack, testing whether it is supportable, developing a product and compensating collaborators are different jobs. Calling the whole process “social listening” hides most of the work. Treating a widely shared suggestion as automatically safe skips an essential step.
It also gives brand memory a richer meaning. Memory includes what people have done with the product over time, alongside approved assets and campaign histories. A community can reveal a use the brand’s own calendar has overlooked. That does not give the brand automatic ownership of every contribution it finds.
Creators carry knowledge of formats and audience expectations, and their relationships may make a collaboration credible. They remain people with their own work, judgment and right to disagree. Describing them as infrastructure can obscure that fact just when the organisation needs to respect it.
A useful brief therefore identifies what is fixed, such as supported product claims and required disclosures, and where the creator can shape the concept and expression. Rights, credit, compensation and reuse should be settled alongside production. Rewriting every contribution into the same brand voice can remove the reason for working with that person.
AI can help find and organise relevant material. It cannot turn access to a creator’s public work into consent to reuse it. Nor does an automated popularity score establish who originated an idea, whether the use is safe, or whether a partnership is fair.
Build the conditions for another good idea
The cases raise an organisational question. Can the team repeatedly connect an observation to a product change, a cultural response or a credible collaboration, or did one campaign succeed despite the way the business operates?
The new Creative Brand Lion makes that question explicit. Cannes’ November 2025 announcement set out an award launching in 2026 for the systems, cultures and capabilities behind creative work. The entry guidance separates internal capability development from the resulting campaigns. That is an institutional signal of interest in the conditions for creativity, rather than proof that any one management model makes excellence inevitable.
I use creative operating system for those conditions: the shared knowledge, habits, tools, relationships and decision rights through which an organisation develops and delivers work. It is a practical metaphor. Buying a dashboard does not install it.
The original Anti-Slop Marketing Stack develops the argument about judgment, memory and distinctiveness. These cases show the different capabilities that argument asks an organisation to build.
Vaseline needs memory that connects community practices, testing and creator agreements to the brand’s history. That memory should keep supported claims, prior failures, sources and dates available for questioning. UVA needs prepared offer terms and someone authorised to act when the cultural cue arrives. SOS POS needs a service people can reach when the familiar channel fails. Uber Eats needs product design and storytelling to support the same invitation to participate.
A useful brief connects each observation to a behavioural hypothesis: what is someone invited to do, and why would they want to do it? Review then asks whether the work is distinctive and comprehensible, and whether the business can deliver it. Approval belongs to the actual claim, offer or product change, with a way to pause it. The outcomes and their limits return to the next brief; a successful subsidised event does not become a general instruction to discount.
These stages interact. Testing may change the premise. A creator may reveal that the proposed joke does not travel. An operating limit may suggest a better idea. The process should help a team make those discoveries before a large production budget makes reconsideration awkward.
For a practical companion, the public Creative Operating System playbook curates skills for auditing the workflow, mapping product surfaces, developing useful concepts, assessing timing, briefing creators and evaluating outputs. The pack is documentation; its README points separately to a plugin. Its presence provides material to inspect and adapt, rather than evidence of a tested deployment or of these campaigns using it. The broader AI Skills Guide repository remains available as source material.
Where AI earns its place
The engineering brief follows from those dependencies. A system can retrieve approved campaign examples, structure a brief, propose several genuinely different routes and flag unsupported claims. It can help assemble versions and bring review material together. Each capability should remove work that obstructs judgment or reveal something the team would otherwise miss.
The records around production are as important as the generation call. Keep the brief, evidence references, asset rights, model and skill versions where relevant, changes made in review, approved release and eventual outcomes connected. Otherwise the team may know that an asset performed while losing the conditions that made it possible or permissible.
Three kinds of checking serve different purposes:
- Creative evaluation asks whether the concept and execution are useful, comprehensible, distinctive and appropriate to the situation. Experienced reviewers and audience work can disagree; that disagreement can reveal a weakness worth investigating. A model score is assistance, not an established measure of taste.
- Validation before release checks concrete conditions: supported claims, current rights, eligible products, correct links, offer dates, stock rules and approved destinations. A strong creative score cannot compensate for a failed mandatory condition.
- Evaluation after release examines what the work changed for the business and for participants. It should also record failures, complaints, fulfilment problems and costs that an engagement chart can miss.
Guardrails make some of those boundaries enforceable. A drafting assistant can be given approved material without a credential to publish. An offer system can require an approved product set, budget ceiling and expiry. A final review should refer to the actual version that will go live. Changing the offer after approval should reopen the decision that the change affects.
Deployment also belongs to the idea when the idea lives in a service. Test app combinations and offer rules in a separate environment, keep live customer records and credentials out of exploratory work, and define who owns support when the experience fails. The Agent Architect’s Playbook develops the agent-system design behind those operating responsibilities.
The important boundary is between producing a proposal and making a real commitment. Publishing an unsupported claim, spending a promotion budget and changing a bank service are effects with different owners. “The AI approved it” supplies none of those owners.
Measure the promise as well as the response
A campaign can attract attention, create a useful experience and produce commercial value. Those are related questions with different evidence.
For a service like SOS POS, examine successful protection attempts, time to confirmation and failures to complete the task. A value attached to blocked assets is different from a measured reduction in fraud losses. For an app experience like Uber Eats’, distinguish starting or sharing a commercial from ordering, receiving the order and returning later. For a promotion like UVA’s, record the stock offered, fulfilled demand, subsidy cost and customer behaviour after the offer ends.
Use observation to find what happened, and comparisons where possible to investigate what caused it. An experiment, phased release or suitable comparison group can help estimate additional effects; the design has to fit the service and respect the people using it. No campaign needs an elaborate causal claim just to describe its mechanism honestly.
Keep the participant’s interest visible as well. A heavily used feature may be confusing to leave. A successful discount may attract orders the business cannot fulfil. A promise of assistance may reach people who are not eligible for it. Commercial measures alone will not reveal every failure. The Empowerment Imperative asks what evidence of human benefit would add to the picture; Distribution Alone Is Not a Moat follows the separate question of whether response becomes lasting business value.
My reading of this work is that the interesting creative decision often happens before production: recognise a failure worth repairing, a product surface worth opening, or a cultural connection worth acting on. The organisation then has to carry that decision all the way to the person.
Cannes cannot settle what AI will never replace. It can give us work concrete enough to question. Before asking a system for another hundred assets, a team can ask what those assets are meant to make possible, whether the business can deliver it, and what it would accept as evidence that the idea was worth making.
Publication history
Originally published by Performics Labs.