Coca-Cola’s 200-Market AI Brand Bet: Marketing’s New Job Is Control

Most companies do not have a brand problem. They have a permission problem: anyone with Canva can now wreck the thing you spent years building.

Coca-Cola’s 200-Market AI Brand Bet: Marketing’s New Job Is Control

Most companies do not have a brand problem. They have a permission problem: anyone with Canva, a content calendar and an AI prompt can now wreck the thing you spent years building.

Coca-Cola is spending billions on advertising, operates across more than 200 countries and has roughly 2.2 billion servings consumed each day. Its response to the AI content flood is not to make more ads. It is to build a machine that stops its own people, agencies and local markets from slowly turning one of the world’s most valuable brands into visual porridge.

That is the real marketing story worth paying attention to.

Coca-Cola has turned its brand rules into software

Coca-Cola and Adobe have developed Project Fizzion, an AI-powered design system built around something called a StyleID. In plain English, it takes the choices a good designer makes — layout, typography, colour, hierarchy, how the iconic assets are used — and turns that judgment into machine-readable instructions.

The result is not merely a digital brand book. Brand books are where good intentions go to die. They sit in a shared drive, get ignored by the agency on a Friday afternoon, and get interpreted differently by every new hire with a deadline.

Fizzion is intended to work inside the design process. A designer creates, refines and makes decisions in Adobe tools; the system captures that intent. Once trained, those StyleIDs can guide campaign adaptations across formats, platforms and markets while enforcing the rules in real time.

Coca-Cola has also rolled out a refreshed global visual identity across more than 200 markets. The underlying assets remain familiar: Coke red, Spencerian script and the Dynamic Ribbon. The changes include vertical wordmarks on cans, new multipack imagery and a redesigned Coca-Cola Zero Sugar look.

That restraint is exactly the point. A mature brand does not need to reinvent itself every time a marketing team gets bored. It needs to become more recognisable as the number of places it appears explodes.

Coca-Cola reported $5.4 billion in advertising costs for 2025, up from $5.1 billion in 2024. That is an enormous cheque to write if the work emerging from the other end looks vaguely on-brand rather than unmistakably Coca-Cola.

The old brand model is finished

For years, companies treated brand governance as an admin function. Marketing created a campaign. The brand team made a PDF. Agencies did their thing. Local markets adapted the work. Then somebody senior complained when the logo was too small or the shade of blue was wrong.

That was inefficient, but survivable, when production was scarce.

It is not survivable when content is cheap.

AI has turned production into the easy bit. One competent operator can now create 50 landing-page variants, 100 social assets, a dozen product images, translated ads and personalised email flows before lunch. Good on them. But volume is not brand building. Volume is just volume.

The danger is not that AI will make every company sound robotic. The more likely danger is worse: it will make every company sound slightly generic while everyone congratulates themselves on efficiency.

A brand is not your logo. It is the shortcut in somebody’s head that tells them what to expect from you. It is earned through repetition, proof and consistency over time. If your business says one thing on LinkedIn, another thing in sales calls, a third thing in paid ads and something completely different in its AI-generated product pages, you do not have a positioning strategy. You have a collection of accidents.

Coca-Cola understands the scale of the problem. Its business has more than 200 brands spanning more than 200 countries. A global company cannot manually inspect every campaign variation, every product image, every retailer asset and every local adaptation forever. The review layer eventually becomes the bottleneck.

So the clever move is not replacing designers. It is encoding the decisions of the best designers so the rest of the system has guardrails.

Why this matters beyond a soft-drink giant

Most founders will read this and think, “Nice for Coke. I have six staff and a modest paid-social budget.” That is exactly why you should care.

Big companies are usually terrible at moving quickly. Small companies are usually terrible at staying consistent. AI has made both problems more obvious.

The moment you start producing serious volumes of content, your business needs a brand operating system. Not a 72-page document full of adjectives such as “bold,” “innovative” and “authentic.” That sort of corporate wallpaper has never sold anything.

You need a working set of decisions:

- Who exactly is the customer? - What job do they hire you to do? - What do you believe that competitors do not? - Which proof points make that belief credible? - What words do you use repeatedly? - What words are banned because they make you sound like every other bloke in the category? - What does your product, your offer and your content look like when they are unmistakably yours?

If those answers live only in the founder’s head, your brand is fragile. The first freelancer, new salesperson or AI tool will pull it apart.

That is why I find Coca-Cola’s approach more useful than the usual AI marketing chatter. The interesting part is not generation. Every tool can generate. The interesting part is governance: who sets the standard, how the standard gets embedded in everyday work, and how fast the business can move without diluting its own memory.

The contrarian bit: consistency should not mean boring

Here is where plenty of companies will get it wrong. They will hear “brand governance” and build a suffocating approval process that kills good ideas before they leave the building.

That is not what Coca-Cola is trying to do.

The system is designed around designer input. The machine follows creative intent; it does not invent a brand from a spreadsheet. That distinction matters enormously.

Your brand needs fixed assets and flexible expression.

The fixed assets are the things you protect fiercely: your position, your promise, your visual cues, your product truth, your tone, your customer and the proof behind the claims. Those are not up for a committee vote every quarter.

The flexible expression is where you let smart people play: angles, formats, creators, local references, distribution, offers and moments. That is how a brand stays alive.

Put differently: consistency is not publishing the same ad 400 times. It is making 400 different pieces of work feel as if they came from the same confident business.

I see this while building Agave Finder. Spirits is full of brands with great liquid, interesting provenance and absolutely muddled communication. One post is serious heritage. The next is nightclub nonsense. Then there is an overproduced bottle shot with a paragraph of marketing foam beneath it. Customers are left to guess what the brand actually stands for.

The winner will not be the business that produces the most tequila content. It will be the one that makes each touchpoint — product information, discovery, education, retail presence and community — reinforce the same useful reason to care.

That applies to a tequila brand, a SaaS business, a dentist or a bloody plumbing company.

AI makes brand discipline more valuable, not less

The lazy take is that AI democratises marketing. It does, to a point. It lowers the cost of output. That is brilliant for founders who could never afford a huge creative department.

But when every competitor has access to the same tools, the tool stops being the advantage.

Your advantage becomes the quality of the inputs: sharper customer insight, a more distinct point of view, better product proof and clearer rules about what your company will and will not say.

AI can multiply a weak message just as efficiently as a strong one. In fact, it is much better at multiplying weak messages because weak messages are generic, predictable and easy to produce at scale.

This is why marketing leaders should stop asking, “How do we get more content from AI?” The adult question is, “Which decisions can AI safely execute, and which decisions must remain human because they define the business?”

Let AI resize the ad, localise the asset, create versions, organise the library and check whether a campaign breaks rules. Do not let it decide what your company believes, which customer is worth serving or why somebody should pay you instead of the cheaper alternative.

That is founder work. It remains founder work.

What this means for you

You do not need Coca-Cola’s $5.4 billion advertising budget or a bespoke Adobe system to act on this tomorrow. You need discipline.

First, write a one-page message architecture. Name your ideal customer, their expensive problem, your distinct promise, three proof points and three phrases you want the market to associate with you. If you cannot fit it on one page, you have not made the hard decisions yet.

Second, make a “never say, never show” list. Ban the lazy language, the empty claims, the visual clichés and the offers that attract customers you do not want. A brand gets stronger as much through refusal as through expression.

Third, build templates that do real work. Your sales deck, product pages, email sequences, social posts and ad formats should begin with approved building blocks. Do not make every staff member reinvent the business every Monday.

Fourth, assign one person the final call on brand. Not a committee. Not an agency. One accountable operator who knows the customer, understands the commercial goal and can say no.

Finally, audit 20 pieces of customer-facing work this week. Put them on a table and ask a brutally simple question: if I removed the logo, would a customer know this came from us?

If the answer is no, do not solve it with more content. Solve it with more clarity.

Coca-Cola’s Project Fizzion is not really an AI story. It is a reminder that scale exposes whatever is sloppy in your business. The companies that win this next phase will not be the ones that generate the most marketing. They will be the ones whose customers can recognise the message before they see the name.

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