AI is not a replacement for human creativity

For the past few years, the conversation around AI in marketing has revolved around one question: what will it replace? Will it take jobs, shrink agency budgets or fundamentally change creative work?

 

They’re understandable concerns, but they may not be the most important ones. Rather than asking what AI will replace, perhaps we should be asking what it actually improves.

 

So far, AI has proved itself to be an exceptionally effective tool for improving marketing efficiency. Whether it is making marketing more effective is a different question entirely. That distinction matters because efficiency and effectiveness have never been the same thing, even if the industry has increasingly treated them as though they are.

 

Recent analysis of 80 DMA Award entries that explicitly referenced the use of AI, drawn from a databank of almost 2,000 award-winning campaigns from the annual DMA Awards, found that those using AI consistently delivered stronger short-term performance, generating 20% more direct response effects than the average campaign. They were also significantly more likely to improve efficiency through lower acquisition costs, higher conversion rates and other performance measures. For marketing teams under constant pressure to do more with less, that’s a compelling result.

 

Yet the same research revealed an important trade-off. AI-enabled campaigns scored around 12% lower for creativity than the industry average. On its own, that might not sound significant. But viewed alongside another well-established finding, it becomes far more meaningful: highly creative campaigns have been shown to generate four times as many business effects - such as profitability, market share growth and shareholder value – as those with low creativity, making originality one of the strongest predictors of long-term commercial success.

 

 

When efficiency becomes the objective
None of this suggests AI is failing marketers. In many ways, it is doing exactly what it has been asked to do.

 

Over the past decade, marketing has become increasingly accountable for commercial performance. Boards rightly expect investment to deliver measurable returns, whether through lower acquisition costs, improved ROI or higher conversion rates. AI excels at exactly these kinds of tasks, processing vast amounts of data, identifying patterns and optimising campaigns at a speed no human team could match.

 

But improving efficiency and improving effectiveness are not necessarily the same thing.

 

Reducing costs, producing more assets in less time and increasing conversion rates all create value. Yet none of those achievements tells us whether a campaign has strengthened a brand or created something memorable enough to influence future behaviour. The campaigns people still talk about years later are rarely remembered because they were the most efficient. They endure because they made people laugh, challenged expectations, sparked conversations or connected with audiences in genuinely original ways.

 

Perhaps AI is simply exposing a trend that has been developing within marketing for much longer. Organisations optimise for whatever they choose to measure. If success is defined primarily through efficiency metrics, AI will become exceptionally good at delivering efficiency. That doesn’t make creativity less valuable. If anything, it makes it even more valuable because it becomes the increasingly scarce ingredient that technology alone cannot replicate.

 

 

Where AI creates the most value

The distinction becomes clearer when looking at how successful brands are actually using AI.

 

Virgin Media O2’s use of AI to develop campaign assets around its Bubl mascot is frequently highlighted for the efficiencies it achieved. By building a bespoke image generation model, the team reduced the cost of producing campaign assets from around £4,000 to just £70 while cutting production time from four days to four minutes.

 

What AI didn’t do was invent Bubl, develop the campaign strategy or identify the creative opportunity. Those were human decisions. AI simply enabled an existing idea to be produced at a fraction of the cost and deployed at a scale that would previously have been commercially difficult to justify.

 

That’s an important distinction. The evidence increasingly suggests AI delivers its greatest value not by replacing human creativity, but by amplifying it.

 

 

Marketing still has to decide what success looks like

As AI becomes embedded across marketing, access to the technology itself is unlikely to be a lasting competitive advantage. These tools are becoming available to everyone, and their capabilities will continue to evolve rapidly.

 

The bigger challenge is deciding what success should actually look like.

 

If organisations ask AI to maximise efficiency, it will deliver exactly that. But if they want it to help build stronger brands, create more memorable campaigns and improve long-term customer relationships, those ambitions need to be reflected in how success is measured and how creative decisions are made.

 

AI is undoubtedly transforming marketing. The evidence suggests it already has. But technology isn’t deciding what success looks like - marketers are.

 

If we continue to measure efficiency above everything else, AI will become increasingly effective at delivering it. But if the ambition is lasting commercial impact, stronger brands and more memorable ideas, creativity must remain the objective and AI the enabler.

 

The future advantage won’t belong to the organisations with the most powerful AI, but those that know what they’re asking it to achieve.

 

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Ian Gibbs is Director of Insight at the DMA

 

Main image courtesy of iStockPhoto and Tirachard