The Hot-Pink Boots Problem With AI

Discover why AI makes brands look and sound alike, and how original insights, real customer data and human judgement protect your competitive difference.

Headshot of Ryan Rintala, CMO and Creative Director at Wandering Lion.
Ryan Rintala
September 5, 2026
2-minute read
Six bright pink football boots from Nike, Adidas, Puma, New Balance and Skechers arranged on a pink background, all looking near identical.

The Hot-Pink Boots Problem With AI

Watch the 2026 FIFA World Cup, and you will notice a clear pattern on the pitch. Nike, Adidas, New Balance, and Puma all released bright pink boots.

Each brand spent serious money trying to stand out. But because they all looked at the same trend forecasts and followed the same visibility logic, they arrived at the same answer. They walked onto the biggest stage in football looking completely identical.

This is exactly the problem we are about to see with AI.

The Convergence Trap

Diagram titled The Convergence Trap: shared inputs such as generic prompts, the open internet, best practice and trend signals feed one AI engine, producing similar campaign ideas, website outlines, content drafts and positioning statements, which end in lost distinction, background noise and forgettable output.

AI is built to recognise patterns and deliver a safe, plausible answer quickly.

When you ask a tool to write a campaign, outline a professional website, or map a trend, it pulls from the same open internet and the same accepted marketing practices available to everyone else in your industry. The output will likely be sensible and polished. It just will not belong to you.

If every business feeds the same AI tools the same prompts to chase the same idea of “best practice”, we end up with a massive volume of content and zero distinction. Acceptable becomes the new background noise.

Feed It What It Cannot Search For

Five-step diagram titled Feed It What It Cannot Search For: proprietary inputs like real customer conversations, internal project data, commercial lessons and original case studies pass through human direction, then an AI production engine, creating distinctive output such as differentiated messaging and clearer positioning, and finally commercial advantage through stronger distinction, better-fit enquiries and more trusted brand perception.

The solution is not to ignore the technology. The efficiency is real, and running a business without it leaves you at a structural disadvantage.

But AI cannot protect a difference you have never defined.

To get a competitive outcome, you have to give it raw materials your competitors do not have. That means handing over your own unpolished project data, real customer conversations, hard commercial lessons, and original case studies. You have to decide what your business actually believes before you ask a machine to express it.

Own the Start and the Finish

Treat AI as a production engine for the middle of the work.

Your team needs to own the beginning: identifying the core problem, gathering the physical proof, and setting the commercial objective. You let AI organise the research, structure the drafts, and reduce the workload. Then, your team owns the final judgement call to ensure the work actually solves the problem and sounds human.

If you skip the foundation and just use the same inputs as everyone else, you might build something designed to stand out, only to realise the entire market is wearing the same shoes.

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AI Brand Differentiation, Brand Strategy, AI Readiness, Competitive Differentiation, Customer Insights, Original Content, Brand Positioning, Human Judgement
Headshot of Ryan Rintala, CMO and Creative Director at Wandering Lion.
Ryan Rintala
CMO - Creative director + Production, Wandering Lion
Key insight

AI Only Creates Competitive Advantage When the Inputs Are Distinct

AI makes production faster, but relying on the same tools, trends, and accepted best practices as everyone else creates brand convergence rather than differentiation. Businesses protect their competitive difference by defining what they believe, using proprietary customer and project insight, and keeping human judgement at the beginning and end of the process.

Use AI to Increase Efficiency, Not Erase What Makes the Brand Different

AI can reduce workload and improve production speed, but it cannot manufacture a distinctive position from generic inputs. The commercial advantage comes from giving the technology stronger foundations, proprietary evidence, and clear human direction.

The Convergence Trap

When every business uses the same AI tools, prompts, trend data, and accepted best practices, polished outputs start to look and sound alike. What appears differentiated in isolation can quickly become indistinguishable across the market.

Best Practice Is Not a Brand Position

AI is designed to recognise patterns and produce plausible answers, which makes it useful for efficiency but risky as the source of strategic differentiation. Following the same visibility logic as competitors creates acceptable work, not a defensible competitive position.

Give AI Inputs Competitors Cannot Access

Real customer conversations, project data, commercial lessons, original case studies, and clearly defined beliefs give AI something distinctive to work with. The stronger and more proprietary the foundation, the more useful the output becomes.

Own the Strategic Start and the Final Judgement

Your team should define the problem, evidence, and commercial objective before AI enters the process, then use AI to organise and accelerate the middle. Human judgement still needs to decide whether the final work is credible, useful, distinctive, and right for the business.

Close-up portrait of a male lion looking directly at the camera in warm golden light.
Build the Foundation Before AI Scales the Noise

If AI is making your marketing faster but not making your business more distinctive, the problem may sit further upstream. Start with a Growth Audit to clarify your positioning, customer insight, proof, website, customer journey, and growth systems before using AI or paid activity to amplify them.

Insights

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Perth Surveying

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Adam Lamond

Mine Services Holdings

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Michael Brown

Ice Arena Adelaide

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