Ask AI for a subject line for your next newsletter and, within seconds, you’ll receive ten suggestions. Ask it to create an entire email campaign and it will probably produce one faster than you’re used to. That’s impressive. But it also raises an interesting question.
If AI keeps getting better at writing emails, what is left for the email marketer to do? More than you might think.
While AI can take work off your hands, there are three essential email marketing skills it cannot solve for you:
- Audience knowledge
- Strategic insight
- Customer understanding
And those are often what determine the success of a campaign.
A good prompt is no substitute for audience knowledge
You may recognise this. You ask AI to write a newsletter and, at first glance, everything looks good. The structure is sound, the grammar is correct and the call to action is in the right place. Yet something feels generic.
That is often not because AI has done something wrong. It is because AI works with the information it is given. When the target audience has not been clearly defined, it quickly becomes visible in the output.
AI can write subject lines, structure newsletters and generate different copy variations. What it does not automatically know is what matters to your audience.
- What questions are they asking?
- What challenges are they trying to solve?
- And why should someone open your email instead of one of the many other messages in their inbox?
That is precisely why audience knowledge remains one of the most important aspects of successful email marketing.
The better you understand who you are writing for, the more relevant the information AI has to work with becomes. But that knowledge has to come from you.
A better subject line won’t fix a poor strategy
A good subject line can help increase open rates. A strong CTA can contribute to more clicks. But neither can replace a clear strategy.
AI does not know the role an email plays within your customer journey. It does not know whether your campaign is designed to build brand awareness, nurture a lead further, or encourage a specific enquiry.
That explains why two organisations can use the same AI tool and still achieve very different results. The difference is not the technology. The difference lies in the decisions made beforehand.
This becomes even more important as AI increasingly becomes part of the inbox experience itself. Think of AI-generated summaries or inboxes that help users identify relevant messages more quickly. As a result, consistency is becoming more important than ever.
A strategy determines what an email is meant to achieve: build awareness, nurture a lead or drive conversions. If that choice is unclear, a mismatch often develops between the different elements of a campaign. The subject line promises one thing, but the email content or landing page does not follow through.
AI can increase that risk because it can write attention-grabbing subject lines and strong CTAs. However, it often creates them in isolation. And when those elements have not been developed from a single, coherent strategy, readers can sense that something is off.
Customer understanding is not stored in a language model
AI can work with data. But data is not the same as customer insight. An AI tool can analyse which pages someone has visited or which emails have been opened. What AI does not know is why a prospect is still hesitant. It does not hear the questions asked during sales conversations, nor does it automatically understand which arguments ultimately convince customers.
The best campaign insights are often not found behind a screen. They emerge during a customer conversation, a product demo or a discussion with sales when it suddenly becomes clear which question prospects keep asking time and time again. That is exactly why human expertise remains so important.
The stronger your customer knowledge, the better AI can support you. When you use insights from sales, customer success and previous campaigns as input for AI, the results often become immediately more relevant. AI then becomes not a replacement for marketing expertise, but an accelerator of it.
AI makes good marketers better
Perhaps this is the biggest misconception surrounding AI: that better emails will automatically appear once you start using the right tool. In reality, the opposite is often true.
AI does not automatically make marketers better. What it does is reveal where the fundamentals are already strong and where there is still work to be done.
- How well do you understand your audience?
- How sharp is your message?
- And do you actually know why customers choose you?
Those are questions no AI tool can answer for you.
That is why the organisations that get the most from AI are not necessarily the ones with the largest collection of AI tools. More often, they are the organisations that already have a deep understanding of their audience, strategy and customers. AI accelerates that process. But it does not replace it.
The question, then, is not whether AI will become part of email marketing. It already is. The real question is how you choose to use it: as a replacement for marketing expertise or as a way to enhance it.
Because in the end, tools do not make the difference. The difference is made by marketers who know which questions to ask, which decisions to make and what their audience needs.
AI can help you move faster and work more efficiently. But it still relies on the insight, judgement and expertise that only people can provide.
