AI and Marketing   does it help or hinder? 

73% of UK marketers use AI regularly. 89% of users save four hours a week with it. So why does most of the marketing it produces still feel hollow? Is it because AI isn’t fixing marketing, it’s exposing how weak it was to begin with?

Almost every marketer I've spoken to in the last six months has the same story. They're using AI more than ever, getting through more work than ever, and quietly worrying that the output isn't actually any better than what they were doing before.

The new Canva 2026 EMEA Creative Velocity Report puts numbers on it. 73% of UK marketers now use AI regularly, the highest take-up in EMEA. 89% of all users save at least four hours a week. One in four save an entire workday. Across Europe, 47% say AI now functions as a "director" in their work, not a tool. The headline conclusion in the report is the one we should have been asking from the start, the question isn't "can we?" anymore, it's "should we?"

That's the right question, and it's been waiting to be asked.

I'll tell you what I think the problem is. AI doesn't make bad marketing good. It just makes bad marketing faster. And most marketing is bad because it never had a strategy in the first place. It had a plan, channels, campaigns, posts, and content. What it never had was the foundation underneath: who you are, who you're for, where you're going, and why anyone should care. Drop AI on top of that, and the foundations don't reappear. You just get more activity at a higher speed.

Most marketing doesn’t fail because of channels, campaigns or content. It fails because no one ever answered the basics of who you are, who you're for and what you're trying to be known for. We’ve learned at Natterjack that AI doesn’t fix that. It just accelerates everything built on top of it.

The cat is out of the bag, and it isn’t going back in. So, where does AI properly earn its keep in marketing, and where does it actually drag you backwards?

Four places we have seen AI help

The first, and probably the biggest, is research. Audience interviews, customer feedback, competitor analysis, market reports. The desk research that used to eat your week is now a couple of hours, and most of the four hours a week the Canva report talks about is being saved here. That's a real and durable gain.

The second is getting unstuck. AI is good at putting twenty headlines on a page when you're staring at one, or even just getting you started. Twelve angles on a campaign idea when your brain has frozen. None of them are finished. They're starting points, and starting points are what most creative work struggles to find. Not because the output is good, but because it gives you something to react to instead of a blank page.

The third is drafting. First versions of emails, social posts, ad copy, FAQ pages. The skill that used to be writing has become editing, which is a different muscle. If you're not comfortable saying "this AI draft is rubbish, let me rewrite it properly," you're going to publish a lot of rubbish.

The fourth is the boring stuff. Personalisation at volume, repurposing one piece of content into ten, tagging, formatting, translating. The kinds of work that used to need a junior or a freelancer and now happen in the background while you’re making your third coffee on a Wednesday morning.

And four places we think AI hinders

Riding in high at first, yep you guessed it the generic output. If your brand doesn't have a distinctive voice for AI to learn from, AI gives you average. And average, in 2026, is invisible. France's marketers, the most quality-conscious in Europe according to Canva, name "AI slop" as their biggest challenge by a margin. 53% of them. That's not a hypothetical worry, that's the actual daily experience and we both know here that you’re sick of seeing the AI generated posters for the village fayre, the pub’s newest draft beer, the charity event happening next weekend.

Then it's the confident lies. AI hallucinates, we learned this with a guy whose job title is Chief Hallucination Officer [yes, really], and it does so in a tone of complete certainty. Statistics it invented. Quotes from people who never said them. Sources that don't exist. Anyone who publishes without checking will get caught, and probably already has.

Lazy thinking is the harder one to spot. AI removes the friction that used to force you to think properly about your customer, your positioning, your real problem. The work of being a strategic marketer has always been hard work. AI doesn't change that. It just makes it easier to skip over it.

And finally, output that isn't an outcome. Twenty social posts a week is not a marketing strategy. Producing more does not mean you're getting more right. It means that nobody actually knows what the strategy is, and why those posts align with the business goals, aims, targets or objectives.

So the big question for you

Here's the question I keep coming back to with clients, and I think it's the only one that matters. Before you prompt AI to do anything, ask yourself what would make this actually successful?

If you can answer that clearly, AI is a tool that will help you get there faster. If you can't, AI will help you do the wrong thing at speed.

The Canva report calls this the tipping point. The competitive advantage no longer sits in what you can create. It sits in what's worth creating. It’s the same idea with different words.

AI is a junior team member, think how you were as an apprentice or graduate. You were fast, helpful, went the extra mile, but needed direction. Sorry to break it to you, but you still have to be the one who knows what the direction is, because you won’t get better marketing, you will just get more of it.