Will AI replace email marketing copywriters?

In brief: AI is transforming the daily work of B2B email marketers, but it does not replace the copywriter. It speeds up production, optimises subject lines and personalises at scale. The real value still lies in strategy, brand tone and the empathy that only a human can bring. The winning model is the human-AI duo.

AI is already writing your emails, and you may not know it

The question is no longer whether artificial intelligence will enter marketing departments. It is already there. McKinsey estimates that 65% of organisations regularly used generative AI in at least one business function in 2024, up from 33% a year earlier. Marketing? It is the function where adoption has grown the most, across all categories.

In France, the movement follows the same trajectory. According to INSEE, the French national statistics institute, 10% of companies with more than 10 employees were using AI in 2024. A 67% increase on 2023. And among them, 28% use it for marketing or sales.

What does that mean for you? Your competitors are probably already using an AI tool to write their email subject lines, generate variants or personalise their campaigns. The real question is therefore no longer “will AI replace copywriters?” but rather “how do you integrate it without losing what makes your emails strong: their humanity”.

What AI does better and faster than a writer

Let’s be honest: on certain tasks, AI is formidably effective.

Subject lines. This is its favourite playground. Emailing platforms that build in automatic subject line generation show open rates 15 to 30% higher than manually written subject lines. AI analyses your campaign history, identifies the phrasings that work and proposes several variants in a few seconds. What used to take half an hour of brainstorming is done in one click.

Variants. Testing three versions of the same email with different hooks, reworded CTAs, inverted structures: this is the kind of task where AI excels. It generates dozens of combinations without tiring, where a writer would spend hours on it.

Personalisation at scale. Adapting the content of an email according to the industry, company size or recipient behaviour, when you manage thousands of contacts, is humanly impossible. AI processes these segments and produces targeted versions in real time.

Automated follow-ups. For nurturing sequences or transactional emails, AI generates functional, consistent copy without tying up a writer at every iteration. According to the Litmus 2025 report, the share of teams needing more than two weeks to produce an email has fallen from 62% to 6%. The time saving is massive.

What still escapes AI: tone, empathy, strategy

AI produces correct text. Sometimes convincing at first glance. But when you dig deeper, the limits are real.

Brand tone. Generative AI tends towards a middling, smooth, interchangeable style. If your company has a strong editorial identity, a vocabulary of its own, clearly stated positions, AI will dilute them. It writes like everyone else. And in a saturated inbox, looking like everyone else is precisely the problem.

Empathy in B2B. A hesitant prospect. An unhappy customer. A decision-maker under pressure. These situations call for a fine understanding of the human context. AI reproduces polite formulas; it does not pick up the tension behind a silence or the urgency of a follow-up. Sensitive emails remain ground where the writer’s judgement makes all the difference.

Editorial strategy. Which message to send, at what moment, in what order, to serve which business objective: this design work escapes it. AI generates content; it does not think through strategy. Selim Niederhoffer, author of the Guide du copywriting, sums up the situation well: “AI does not replace the copywriter, it redistributes the work. Strategic design remains irreplaceably human.”

The risk of uniformity. If every B2B marketer uses the same tools, fed by the same models, emails end up looking alike. Differentiation, the crux of prospecting, relies on the ability to stand out from the crowd. And that is a copywriter’s job.

The hybrid model: why the best results come from the human-AI duo

The data converge: neither all-human nor all-AI gives the best results. The hybrid model wins.

Content written by humans generates 5.44 times more traffic than content produced solely by AI, with sessions 41% longer (Grafit Agency study, 2025). On the other hand, in terms of pure search ranking, the difference fades: 57% of AI articles and 58% of human articles appear in Google’s top 10.

What these figures tell us: AI performs well at producing, humans remain superior at engaging. In B2B email marketing, engagement is precisely what counts. A recipient who opens, who reads, who clicks, who replies.

The workflow that works for most marketing teams follows a simple pattern. AI produces the first draft and proposes subject line variants. The marketer takes it all back, adjusts the tone, refines the message, adds that personal touch which turns a generic email into an email that converts. According to several industry studies, around 73% of marketing professionals have already adopted this approach.

Less time spent on raw production. More time devoted to strategic thinking and to the personalisation that makes the difference.

Ediware’s AI assistant: artificial intelligence in the service of the copywriter

At Ediware, AI is not a gadget bolted on at the margins. It is an assistant built directly into the campaign editor, designed to work with the marketer, not in their place.

Ediware’s artificial intelligence features cover the most time-consuming needs of email creation.

Optimised subject line generation. The assistant proposes several subject lines in a few seconds, with settings for tone, length and emotional angle. In A/B testing, the generated subject lines show on average 15% higher open rates.

Content writing and rewriting. You start from raw text, a Word document or even a URL, and the AI adapts the content to your email template. It rewords sentence by sentence while fully preserving the HTML code, the visuals and the responsive design. No need to rebuild your email for every campaign.

Built-in copywriting frameworks. The assistant applies the structures that work in emailing: AIDA, PAS, FAB. Even without advanced writing expertise, your emails follow a proven persuasion logic.

Multilingual translation. More than 25 languages supported, with contextual translation designed for marketing, not word-for-word translation. Styles and images are preserved.

The difference from a generic tool such as ChatGPT is fundamental: the Ediware assistant works directly in the editor, respects your brand guidelines and never breaks the layout. Everything is detailed in the AI assistant user guide.

Tomorrow’s copywriter masters AI, and is not afraid of it

The copywriter’s profession is not disappearing. It is mutating. And those who adapt gain a real competitive advantage.

PwC reports that jobs “augmented” by AI grew by 252% in France between 2019 and 2024. The market is not eliminating writing skills, it is repositioning them. The copywriter becomes a content strategist who steers tools, rather than writing everything line by line.

The skills that count now go beyond the pen. Knowing how to formulate a precise prompt to obtain a usable result. Spotting when the AI goes off track and taking back control. Understanding performance data to iterate on messages. Keeping brand consistency across all communications.

For B2B marketing managers, the conclusion is pragmatic: investing in a copywriter who masters AI is more profitable than a copywriter who refuses the tools or an AI left unsupervised. The former produces faster, better, and with that human touch your recipients recognise, even without being aware of it.

Frequently asked questions

Can AI write a marketing email from A to Z?

Technically, yes. But an email generated entirely by AI will often lack personality and nuance. The result will be functional, rarely memorable. The best emails remain those where AI produces a base that the marketer reworks to inject the brand tone and their knowledge of the recipient.

What are the risks of using AI for your email campaigns?

The first risk is uniformity: if your competitors use the same models, your emails look alike. There are also hallucinations, those plausible but false pieces of information that AI can invent. Always proofread before sending. No such risk with Ediware’s AI assistant, because it works from your content; it never starts from scratch.

How does AI improve email subject lines?

It analyses your campaign history and market trends to propose optimised subject lines. It tests variants of wording, length and tone. The measured gains lie between 15 and 30% additional open rate.

Should you tell your recipients that an email was written by AI?

European regulation (the EU AI Act) imposes transparency obligations for certain synthetic content, but marketing emails are not classified as “high risk”. However, a study presented at the CHI Conference 2024 shows that disclosing the use of AI reduces the reader’s perception of quality, even when the text is identical. It is more a positioning choice than a legal obligation.

What is the best AI + copywriter workflow for B2B emailing?

AI generates the first drafts and subject line variants. The copywriter selects, reworks the tone, adds the personalisation elements and validates the strategic consistency. Platforms such as Ediware build AI directly into the editor to streamline this back-and-forth without pointless copy-pasting.