From Manchester’s cotton mills, to marketing with AI

Manchester became the world’s first industrialised city by turning its craft into a process. Textile production moved from skilled individuals working slowly at home into factories that were built for speed and repeatability. Output ramped up, costs fell and entire markets changed.

Today, much the same theories can be applied to AI in marketing, and many other industries for that matter. For decades we’ve produced content that required skill and time to craft. Writing a decent blog and landing page or designing the perfect brochure wasn’t instant– and the people who could do it well were the differentiator. Production capacity was limited, so visibility itself was the objective. Getting yourself in front of your prospects before your competition was the race. 

AI is industrialising that layer.

With the plethora of AI tools now available, content can be generated quickly and cheaply. Marketing campaign structures can be drafted in minutes and repurposing is almost effortless – turning a blog into a LinkedIn carousel can be measured in hours, not days. But when marketing becomes the factory, the focus shifts to throughput – more of everything – blogs, landing pages, emails, assets, and industrialisation didn’t reward originality or judgement, it was only interested in consistency and costs control. Marketing execution has been industrialised, but the thinking behind it hasn’t. That’s still very human.

We don’t need to worry about creating material, instead it’s our ability to decide what should exist in the first place. Who are you targeting, what commercial problem do you solve, why are you different, what’s your messaging? The answer to these questions is how marketing connects to sales in a way that creates revenue rather than just more noise. AI will faithfully execute whatever brief you give it – but if the input is vague, the output will be efficiently as vague. Likewise, if your positioning is generic, the content will be consistently generic – industrial scale doesn’t improve your weak foundations, it amplifies them.

This, my friends, is where SME marketing teams – and especially marketing agencies, must look at what they’re producing and why. Using AI tools, they’re very busy, but the model underneath is still built for a world where production was scarce and activity equated to visibility. In a market saturated with content, volume is no longer the advantage – CLARITY IS.

So should you reject industrialisation? Of course not. Manchester didn’t succeed by resisting the factory, it mastered and globalised it, and the same arguments apply here too. AI should sit inside your marketing helping you research, draft and deliver consistency, removing any friction and freeing up your time. But the people running the factory must decide what good looks like.

The risk isn’t choosing the wrong AI tool, it’s in becoming a content factory – without meaning to. If you define yourself on output alone, you compete on cost and speed – but if you define yourself by insight and commercial judgement, AI becomes the supporting infrastructure rather than the overall identity. Manchester didn’t start an industrial revolution by confusing the machinery with the strategy and marketing teams and agencies should bear that in mind if they want to be successful. The machinery’s got faster, but the experts still matter.

If you need help with your marketing, contact Umbrella.