Should You Use AI To Write Your Marketing Emails

Artificial intelligence has made its way into virtually every corner of digital marketing, and email marketing is no exception. Tools like ChatGPT, Jasper, and Copy.ai are being used by businesses of all sizes to generate email copy at speed, and the conversation around whether this is a smart move or a risky shortcut has never been more relevant. If you are sitting there wondering whether you should use AI to write your marketing emails, the honest answer is that it depends entirely on how you use it, and what you expect from it.

AI is not a magic button. It does not know your customers, it has not spoken to your audience, and it has not spent years understanding what makes your particular brand tick. But used thoughtfully, it can absolutely play a role in your email marketing process. The key word there is thoughtfully.

What AI Can Genuinely Do For Your Email Marketing

Before dismissing AI as a gimmick or over-relying on it as a solution to everything, it is worth being clear about where it actually adds value. AI writing tools are exceptionally good at producing first drafts quickly. If you are staring at a blank screen trying to write a promotional email for an upcoming sale, an AI tool can give you a solid starting point in seconds. That alone has genuine practical value, particularly for smaller businesses or solo marketers who do not have a dedicated copywriter on the payroll.

AI is also useful for generating subject line variations. Testing different subject lines is one of the most impactful things you can do in email marketing, and AI can produce a dozen alternatives in moments, giving you a pool of options to work with rather than spending an afternoon brainstorming. Platforms like Mailchimp have even begun building AI-assisted subject line tools directly into their interfaces.

Repurposing content is another area where AI holds its own. If you have a long-form blog post or a detailed guide, AI can help you summarise it into a concise email update, maintaining the core message without the manual effort of rewriting everything from scratch.

Where AI Falls Short In Email Copy

Here is where things get more complicated. Marketing emails are not just about delivering information. They are about creating a connection, building trust, and moving someone towards a decision. That requires a nuanced understanding of tone, timing, and audience psychology that AI simply cannot replicate with any real depth.

Generic AI-generated emails tend to read as exactly that: generic. The kind of language these tools default to can feel polished on the surface but hollow underneath. Phrases like "we are excited to share" or "do not miss this incredible opportunity" appear constantly in AI output because they are common in the training data. Your subscribers have seen these phrases hundreds of times, and they do not move the needle.

There is also the question of brand voice. If you have spent years building a distinctive tone of voice, one that your customers recognise and respond to, AI will struggle to capture it accurately without significant guidance. It will produce something that sounds like a competent marketing email, but not necessarily one that sounds like you. For brands where voice and personality are core to the customer relationship, that distinction matters enormously.

Personalisation at a meaningful level is another limitation. AI can insert a first name or reference a product category, but the kind of deeply relevant, contextually appropriate personalisation that drives real engagement requires human judgement and a thorough understanding of where a customer is in their journey.

The Right Way To Use AI In Your Email Strategy

The most effective approach is to treat AI as a collaborator rather than a replacement. Think of it as a capable assistant that can handle the heavy lifting of a first draft, freeing you up to focus on refining, personalising, and injecting the kind of insight and originality that only you can bring to the table.

Start by giving the AI detailed prompts. The quality of what it produces is directly tied to the quality of what you ask for. Instead of asking it to "write a promotional email", give it the context it needs: the audience, the offer, the tone, the goal, and any key messages you want to land. The more specific you are, the more useful the output will be.

Review everything it produces with a critical eye. Read it as your customer would. Does it sound authentic? Does it match your brand voice? Is the call to action clear and compelling? AI output should always be a starting point, not a finished product that goes straight to your list without human review.

Use AI for the structural and mechanical elements of your emails, and trust your own knowledge and experience for the elements that require real understanding of your audience. Subject lines, preheader text, draft body copy, and content repurposing are all areas where AI earns its place. The final editorial layer, the emotional intelligence, the brand authenticity, and the strategic thinking, those remain firmly in human hands.

Compliance and Accuracy Are Your Responsibility

One area that cannot be overlooked when using AI to write marketing emails is accuracy. AI tools can and do produce content that sounds entirely plausible but is factually incorrect. If your emails reference specific product details, pricing, legal claims, or regulatory information, you cannot rely on AI to get those right without careful verification.

From a compliance perspective, particularly given UK GDPR and PECR regulations around email marketing, the content of your emails remains your responsibility regardless of how they were written. AI does not know whether your list is properly consented, whether your unsubscribe mechanism is functioning correctly, or whether a particular claim in the copy meets the standards set by the Advertising Standards Authority. Those checks sit with you.

Is AI Right For Every Business?

Not necessarily, and being honest about that is important. For businesses with very distinct brand voices, highly niche audiences, or products that require a deep level of specialist knowledge to communicate accurately, AI may cause more problems than it solves if used without sufficient oversight. The time spent correcting, rewriting, and fact-checking can sometimes exceed the time it would have taken to write the email from scratch.

For businesses producing high volumes of email content across multiple campaigns and audiences, the efficiency gains are much more meaningful. The more emails you need to produce, the more value AI can deliver as part of a well-managed workflow.

Making The Decision Work For You

The question of whether you should use AI to write your marketing emails is ultimately a question about your process, your resources, and your standards. AI is a tool, and like any tool, its value depends entirely on how it is applied. Used well, it can accelerate your workflow, broaden your creative options, and reduce the friction that often comes with producing consistent email content over time. Used poorly, it can dilute your brand, frustrate your subscribers, and undermine the trust you have worked hard to build.

The businesses getting the most from AI in their email marketing are not the ones handing everything over to the algorithm. They are the ones using it strategically, staying closely involved in the output, and ensuring that every email that leaves their platform genuinely reflects who they are and what they stand for. That balance, between efficiency and authenticity, is where the real opportunity lies.