ChatGPT Image Jun 23, 2026, 06_18_21 PM

The World’s Most Used AI Tool Just Made Its First Ad – And It Deliberately Avoided Everything You Would Expect

700 million weekly users. Zero brand campaigns. Until 2025. And when ChatGPT finally showed up in an ad, it showed up on 35mm film, with real people, real moments, and not a single robot in sight.

The Brand That Did Not Need to Advertise – Until It Did

By September 2025, ChatGPT had 700 million weekly active users worldwide. That number had quadrupled in a single year. In the UK alone, the user base had grown fourfold in twelve months, with seven out of ten users under 45 saying the product helped them succeed in life. In India, college students, working professionals, and small business owners were integrating it into their daily workflows in numbers that made every major tech company’s growth metrics look modest by comparison.

And yet, for most of its existence, OpenAI spent almost nothing on brand advertising. ChatGPT grew almost entirely through word of mouth, media coverage, and the organic momentum of a product so novel that people could not stop talking about it. It did not need ads because the product was the marketing.

So when OpenAI launched what it called its first large-scale brand campaign in late September 2025, the marketing world paid close attention. Not just because a major brand was advertising. But because of what the campaign chose to say, how it chose to say it, and what it deliberately, almost provocatively, chose to leave out.

This blog is a full teardown of that campaign, what it was, why it worked, what it signals about the future of AI brand marketing, and what every marketer can take from the strategic decisions OpenAI made when they finally decided to show the world what ChatGPT actually is.

What the Campaign Actually Looked Like

The campaign, developed by OpenAI’s in-house creative team in collaboration with agency Isle of Any and director Miles Jay, consisted of three short films and a series of outdoor photographs. The films were shot on 35mm film stock using custom-made lenses, a deliberately analogue choice for a campaign representing the world’s most prominent digital AI product. The soundtrack choices leaned on classic, timeless music rather than anything that felt contemporary or tech-forward.

Each film followed a different person using ChatGPT in an ordinary moment of their life. A man working toward being able to do a pull-up, following a plan ChatGPT helped him build. Someone cooking a meal for a date using a recipe the product helped them find. A group of siblings planning a road trip together. The prompts they typed and the answers they received were rendered on screen like rolling credits at the end of a film, giving each spot the visual grammar of a closing scene rather than a product demonstration.

The campaign ran across NFL Primetime in the US, outdoor placements at Piccadilly Lights and Manchester Arndale in the UK, ITV, Sky, Channel 4, streaming platforms, and paid social. It was the broadest, most expensive marketing effort OpenAI had ever undertaken. And it looked like nothing any technology company had produced in recent memory.

The Strategic Decisions That Made This Campaign Different

They Chose Human Craft Over AI Spectacle

Every frame of this campaign was shot on film. Real locations. Real people. Directors, photographers, producers, and craftspeople. OpenAI was explicit about this: human craft was central to the campaign’s creation. ChatGPT played a supporting role behind the scenes, helping to organise shot lists and brainstorm character ideas, but the finished work is entirely the product of human hands.

This is a decision that deserves close examination. OpenAI could have made an AI-generated campaign. They have the technology. They could have demonstrated the product’s capabilities by using those capabilities to create the advertisement itself. Instead, they went the opposite direction entirely, using analogue film and deeply human storytelling to make a product about artificial intelligence feel warm, tactile, and real.

The irony is intentional and it is brilliant. By choosing not to show off AI’s creative capabilities in an ad about AI, OpenAI communicated something far more important: that ChatGPT is not a replacement for human experience. It is a tool that supports it.

They Avoided Every Technology Ad Cliche

Think about what a tech company’s first major brand campaign usually looks like. Futuristic visuals. Abstract animations. Bold typography over sweeping music. Shots of people looking at screens with expressions of wonder. A voice-over about changing the world. The implicit message is always some version of: we are the future, and the future is here.

The ChatGPT campaign did none of this. There was no futurism. No rhetoric about changing the world. No abstract visual metaphors for intelligence or connectivity. A man doing pull-ups in a park at sunset. Someone nervously cooking for a date. Or the quiet, ordinary satisfaction of accomplishing something small that mattered personally.

OpenAI’s international marketing director Elke Karskens called it everyday magic. That phrase captures the strategic intent precisely. ChatGPT is not positioned as extraordinary technology. It is positioned as a quiet, reliable presence in the background of an ordinary day that helps you do the things you were already trying to do.

They Started From Real Use Cases, Not Brand Ideals

Every scenario in the campaign was drawn from actual ways real people use ChatGPT. The fitness plan. The recipe for a date. The trip planning with siblings. These were not invented by a creative team in a conference room imagining how people might use the product. They were identified from genuine user behaviour and then given cinematic form.

This approach has a name in brand strategy: product-led storytelling. Rather than starting with the brand’s desired positioning and working backwards to find stories that support it, you start with real product experiences and work forwards to find the emotional truth within them. It is harder than traditional campaign development. But it produces work that feels genuinely authentic rather than constructed, and audiences can feel the difference.

Why This Timing Mattered More Than Most People Realised

The ChatGPT campaign did not arrive in a vacuum. It launched at a moment when the AI industry was becoming significantly more crowded and significantly more competitive for user loyalty.

Google’s Gemini. Meta’s AI. Anthropic’s Claude. Microsoft’s Copilot. The roster of serious AI assistants competing for daily usage had grown dramatically through 2024 and 2025. What had once been ChatGPT’s essentially uncontested dominance of the AI assistant space was becoming a genuine competitive market where brand preference, not just product availability, would determine which tool people reached for first.

Karskens acknowledged this directly, noting that the competitive environment was warming up and that this campaign was about going deeper into preference. The product was already well-known. The job now was to build the kind of emotional connection that makes someone choose ChatGPT over an equally capable alternative simply because it feels more like theirs.

This is exactly what great brand advertising does. It does not create awareness. It creates belonging. And the campaign’s focus on personal, human, everyday moments is a direct expression of that goal.

The Honest Challenges Worth Examining

The Familiarity Problem

OpenAI’s marketing team acknowledged they were starting from a position of significant brand awareness. Almost everyone in their target markets knew what ChatGPT was. The challenge of moving from awareness to genuine preference is not a communications problem. It is a relationship problem. And single campaigns, however well-crafted, can only do so much to build relationships. The campaign is clearly intended as a long-term platform rather than a one-off launch, but the sustained execution required to deepen brand love at the scale ChatGPT operates is a different challenge from making a great initial campaign.

The Authenticity Tension

There is an inherent tension in a campaign about AI that is deliberately made by humans. OpenAI was transparent about this, explicitly stating that human craft was central to the work. But as AI creative tools become more capable and more widely used in advertising production, the question of how much AI involvement is appropriate in a campaign for an AI product becomes increasingly complex. OpenAI’s answer for this campaign was a clear line: AI as creative partner in the background, humans as authors of the work the public sees. That line will be an interesting one to watch as the creative AI landscape evolves.

What Every Brand Can Learn From OpenAI’s First Campaign

The Most Powerful Position Is Useful, Not Amazing

ChatGPT could have positioned itself as extraordinary technology that transforms everything. Instead it positioned itself as something that helps you do the ordinary things you already care about, a little better. For most brands, this principle applies directly. People do not need your product to be amazing. They need it to be genuinely useful at the moment when they need it. Build your brand story around that usefulness and you build something that lasts much longer than a campaign built around spectacle.

Start With Real Stories, Not Ideal Ones

Every business has customers who love what they do and use it in ways that are genuinely moving if you take the time to find them. The most effective brand campaigns are not invented. They are discovered, in the real experiences of real people, and then given creative form. The ChatGPT campaign’s authenticity came directly from the fact that it was rooted in actual user behaviour rather than aspirational brand fiction.

Going Against Category Convention Is a Strategic Advantage

Technology companies advertise in a very specific way. OpenAI chose not to. That deliberate departure from category convention is not just a creative decision. It is a brand differentiation strategy. In any crowded market, the brand that communicates differently from its competitors creates instant distinction. Look at your own category. Notice how everyone is showing up. Then ask what it would look like to show up completely differently, and whether that difference maps onto something true about what you actually offer.

Final Thoughts: The Smartest AI Ad Was the Most Human One

OpenAI spent years growing ChatGPT without advertising. When they finally chose to invest in brand building, they made a decision that most technology companies would have found deeply counterintuitive: they made an ad that felt as far from artificial intelligence as an ad possibly could.

Shot on film. Grounded in ordinary human moments. Built on real stories. Scored with classic music. It looked like a campaign for a brand that had been around for decades and knew exactly who it was, not a technology product that had existed for less than three years and had never run a major brand campaign.

That confidence, that clarity about what the product actually means to the people who use it every day, is what made the campaign land. And it is the single most transferable lesson for any brand thinking about how to tell their story.

Know what you actually are to the people who love you. Then show that. Nothing else.

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Mega Influencers Are Overrated: Why Micro Creators Are Winning the Trust Economy

A million followers does not mean a million people are listening. It means a million people clicked a button at some point in the past.

The Celebrity Endorsement Dream That Is Costing Brands a Fortune

There is a moment that happens in a lot of marketing planning meetings when someone says the words that sound like a guaranteed strategy: “What if we got a big influencer?” The room gets a little more excited. Someone opens Instagram and starts looking at profiles with seven-figure follower counts. Numbers are thrown around. A budget is identified. And then, months later, the campaign analytics come back and the results are… underwhelming.

This is one of the most common and most expensive disappointments in digital marketing right now. Brands spend significant portions of their marketing budget on macro and mega influencers, primarily because the follower count feels like a proxy for reach and influence. But follower count and actual influence stopped being the same thing a long time ago.

This blog is about why the influencer marketing landscape has shifted so dramatically, what the data actually says about micro creators, and how businesses of every size can build more effective partnerships with the people who are genuinely trusted by their communities.

Understanding the Influencer Tiers First

The influencer ecosystem is typically divided into four broad tiers based on follower count. Nano influencers have between one thousand and ten thousand followers. Micro influencers sit between ten thousand and one hundred thousand. Macro influencers have between one hundred thousand and one million. And mega or celebrity influencers have over a million followers.

The conventional wisdom, for most of the last decade, was that bigger was better. The logic was straightforward: more followers means more people see the content, more people see the content means more conversions. This logic is not entirely wrong. It is just incomplete, and the parts it misses are exactly the parts that determine whether a campaign actually works.

The Numbers That Changed the Conversation

Engagement Rates Tell a Different Story

Multiple industry studies on influencer marketing performance over the past three years have consistently found the same pattern: engagement rates decline as follower counts increase. Micro influencers in the ten thousand to one hundred thousand range typically generate engagement rates between three and eight percent. Mega influencers with over a million followers frequently see engagement rates below one percent. This is not a marginal difference. It is the difference between a community that genuinely listens and an audience that passively follows.

Trust Is the Currency That Matters Most

Nielsen’s annual global trust report consistently shows that people trust recommendations from people they feel are like them far more than they trust celebrity endorsements or traditional advertising. A micro influencer who built their following by sharing honest reviews of restaurants in Bengaluru, or documenting their journey through fertility treatment, or teaching small business accounting in Tamil, has something a mega influencer almost never has: perceived peer status. Their followers feel like they know them. And people act on recommendations from people they feel like they know.

Cost Per Genuine Engagement Is Dramatically Lower

When you divide the cost of a mega influencer partnership by the number of people who actually engaged with the branded content rather than just scrolled past it, the math rarely looks good. Micro influencer partnerships, even when you run five or ten of them simultaneously to match the raw reach of a single macro deal, often deliver a significantly lower cost per genuine engagement and a meaningfully higher conversion rate. The economics of micro influencer marketing have become impossible to ignore.

The Real Challenges of Working With Micro Creators

It would be misleading to suggest that micro influencer marketing is without friction. It has specific challenges that brands need to plan for.

Scale Requires Volume and Volume Requires Systems

Running one mega influencer campaign requires one contract, one brief, one set of approvals, and one round of content review. Running fifteen micro influencer campaigns requires fifteen of everything. The operational overhead is real and without proper management systems, influencer marketing software, or a dedicated team, it can become chaotic quickly. Brands that try to scale micro influencer programmes without the right infrastructure often end up with inconsistent messaging and patchy execution.

Quality Control Across Multiple Creators

Every micro influencer has their own voice, their own aesthetic, and their own relationship with their audience. This is exactly what makes them effective, but it also means that maintaining brand consistency across multiple creator partnerships is genuinely difficult. Too strict a brief kills authenticity. Too loose a brief produces content that does not feel like your brand. Finding the right balance requires experience and often a lot of trial and error.

Vetting Is More Work but More Important

With mega influencers, vetting is relatively straightforward. The profile is public, the history is documented, and the audience demographics are usually available through media kits. With micro influencers, especially in emerging niches or regional markets, vetting requires more effort. Fake followers, artificially inflated engagement through pods, and audiences that do not match the claimed demographics are real problems in the micro influencer space.

How to Build a Micro Influencer Strategy That Actually Works

Start With Niche Alignment, Not Numbers

The most important criterion for choosing a micro influencer partner is not their follower count. It is the specificity of their niche and the depth of their authority within it. A nutritionist with eight thousand followers in your city who speaks directly to the demographic you are trying to reach will consistently outperform a lifestyle blogger with eighty thousand followers whose audience is scattered across multiple interests and geographies.

Build Relationships, Not Transactions

The micro influencer partnerships that produce the best long-term results are the ones that feel like genuine relationships rather than paid transactions. Engage with their content before you approach them. Offer product experiences rather than scripted endorsements. Give them creative latitude. Check in on campaign performance together and treat their feedback as valuable insight. Micro influencers who genuinely believe in what they are promoting produce content that their audiences can feel is authentic. And authenticity is the only thing that drives real purchasing decisions.

Measure the Right Things

Stop measuring micro influencer campaigns by impressions. Measure them by link clicks, promo code redemptions, direct messages mentioning the creator, and actual conversions. These are the numbers that tell you whether the partnership created genuine action. Impressions tell you how many times your content appeared on a screen. They say nothing about whether anyone cared.

Final Thoughts: Trust Has Always Been the Product

Influencer marketing, at its best, has always been a trust transfer. A person your potential customer already trusts tells them about your brand, and some of that trust flows in your direction. The mechanics have changed dramatically since the early days of Instagram sponsorships, but this core dynamic has not.

The question every brand should be asking is not “how many people will see this?” but “how many people who see this will actually trust the person showing it to them?” That question almost always points toward the micro creator with a deeply connected, highly engaged community of ten thousand people rather than the celebrity with a million passive followers.

In the trust economy, smaller and more specific has become more powerful than big and broad.