The pressure to produce more content, faster, with fewer resources is real. And AI has been a clear answer – 74% of marketers are already delivering or testing AI-generated content, and 43% plan to increase investment this year, according to data published today by Validity.
But here’s the paradox of marketers’ rush to scale with AI: when consumers don’t know the content was written by AI, they tend to choose it. If they know, they punish the product for it.
A recent Bynder survey of 2,000 UK and US consumers puts the argument in stark relief. Participants were shown two articles on the same topic – one written by ChatGPT, the other by a professional copywriter. No label was added. Among those who had a preference, 56% chose the AI-generated article as the most attractive. The AI copy won – where it remains anonymous.
But when participants were told that the same content was generated by AI, 52% said they felt less interested. Same topic. Same words. Different reactions.
Validity’s data, drawn from surveys of 500 US marketers and 1,000 US consumers, reveals a widening disconnect between how brands are using AI and how consumers are receiving it. On the usability side, 40% of consumers say they would trust email marketing emails less if they knew they were written by AI. Only 25% said knowing that an email was written by AI would increase their trust. And 55% of consumers now make inbox decisions based solely on AI-generated email summaries – without reading the full message.
However, only 43% of consumers feel confident that they can receive emails written by AI. Some can’t reliably tell the difference, which means that the trustworthiness penalty may be about the perceptions of AI use versus reality.
What does this mean for your email strategy
These findings point to a reality that every email marketer needs to account for: AI digests are now serving as the primary inbox filter for a growing share of your audience. When 55% of consumers make decisions based on summaries alone, your email copy needs to work on two levels – for a human to read the full message and for AI to render a three-line version.
The good news is that writing AI summaries is not fundamentally different from writing quality emails. Both reward clarity, pre-loaded value, and specificity. The bad news is that the attribution model that many teams rely on is broken. Fourteen percent of consumers bought based solely on an AI email summary – revenue came in without opening the email, meaning no opens or clicks were tracked.
Consider taking these steps:
- Check your subject lines and front text using the AI summary lens. Can the reader (or AI) extract the correct value proposition from the first few lines?
- Review your email attribution model. If you’re only counting opens and clicks, you’re probably underreporting the performance from buyers who convert after reading an AI summary.
- Create a light-touch AI disclosure policy. Bynder’s data suggests that consumers respond better to honesty than silence.
Broad confidence is growing rapidly
These findings are consistent with a long-term trend. Capgemini’s global research, which tracks consumer sentiment from 2023 to 2025, found that trust in AI-generated content has dropped from 73% to 55% in just two years – a decline across all age groups, including Gen Z. And YouGov’s 2026 data found that across all markets surveyed, 32% of consumers were less trusting of their brand. 15% they can trust the most.
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The production image adds complexity. A Bynder survey found that 16- to 24-year-olds were the only age group that found a human-written article more engaging than an AI version — bucking the overall trend. While 71% of consumers aged 55 and over want AI-generated content to be exposed, only 45% of those aged 16 to 24 feel the same way. Younger consumers are both more educated about AI and less concerned about its use — but also more likely to punish brands for getting it wrong.
Bynder’s data also showed what consumers think of products that use AI: 26% said the product feels impersonal; 20% say the brand is lazy; and 18% said the product was not creative. Only 17% say the brand is innovative.
Where the middle ground
There is, however, room to navigate this without sacrificing AI efficiency. When Bynder asked consumers if they agreed with the statement “I don’t mind if brands use AI to help write copy, as long as the piece feels like it was written by a human,” 82% agreed — 41% strongly. And Validation’s research found that 35% of consumers said knowing an email was written by AI would make no difference to their trust, suggesting an important component that prioritizes outcome over origin.
For marketers, the way forward involves balancing efficiency and trust. The paradox of AI content means that efficiency and scale come with a trust tax that is unlocked when a consumer suspects AI involvement. Brands that invest in human reviews, transparent disclosures, and content that feels human rather than automated are in the best position to capture AI without paying a trust penalty.
Validation Research can be found here and here. (Registration required)
