AI and Email | 3 min read
AI and Email | 3 min read
Consumer trust in AI-driven personalisation is moving in the wrong direction, even as more brands invest in it. Salesforce's State of the AI Connected Customer report, covering more than 16,500 consumers and business buyers, found only 42% now trust businesses to use AI ethically, down from 58% just a couple of years earlier, a 16-point drop that most marketing teams have not yet caught up to in how they design campaigns.
CMSWire's 2026 analysis frames the distinction clearly: customers generally welcome contextual relevance, but become uncomfortable specifically when a brand appears to know more than the customer consciously shared, or uses personal information without clear consent or an obvious benefit in return. The discomfort is not about personalisation itself, it is about the gap between what a customer knowingly gave and what the email seems to know anyway.

A 2026 Adobe Express study found 37% of consumers say they trust brands more when marketing emails feel genuinely human, even if that makes them look slightly less polished, and 18% said they had actually unsubscribed from a list because an email felt AI-written. Roughly 17% of users separately report annoyance specifically from over-personalised or 'creepy' emails, according to SQ Magazine's 2026 personalisation research. Together, these point to the same conclusion: AI personalisation works best as a tool a human is clearly still directing, not as a replacement for a recognisable human voice.
Before sending anything dynamically personalised, ask whether the subscriber would be able to explain, without effort, why you know the detail being referenced. If the honest answer involves inference, third-party data, or anything the subscriber did not knowingly provide, that is the signal to pull back, regardless of how technically impressive the personalisation is.
Is AI personalisation in email losing consumer trust?
Broad trust in businesses using AI ethically has fallen sharply in recent years, though preference for relevant, well-executed personalisation remains high. The issue is less about AI itself and more about transparency in how it is used.
What makes personalisation feel creepy rather than helpful?
Referencing information the subscriber did not knowingly provide, or personalising around sensitive topics without explicit consent, are the two most consistent triggers identified in current research.
Should I stop using AI personalisation in email?
Not necessarily. Personalisation based on a subscriber's own stated preferences or on-site behaviour continues to perform well and build trust. The risk sits specifically with inferred or overly specific dynamic content.
Does a more human tone reduce the benefit of AI personalisation?
No, the two are not in conflict. AI can support segmentation, timing, and drafting while the final voice and judgement still read as genuinely human, which is the combination current research suggests performs best.
Mail Blaze is an email marketing platform specialising in email engagement, with AI tools included on every plan and designed to support a human-directed voice rather than replace it.
Explore Mail Blaze's AI tools, built to support your voice rather than replace it.
P.S. If a recent personalised send got an unusual reaction, good or bad, it is worth a closer look at exactly what triggered it. We are happy to help you dig into it.
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