There is a paradox we have been observing for months in meetings with clients: the easier it is to produce perfect content using artificial intelligence, the less people trust what they see. Efficiency is no longer a competitive advantage because now anyone can achieve it. And amidst all this noise, what is truly scarce — and therefore most valuable — is authenticity. That is why, at Vandelay, we believe that the authentic marketing with AI It is not a question of hiding the technology, but of using it wisely and explaining it clearly.
This isn’t just an agency’s opinion. The data released this year all points in the same direction: the public has become wary; they know they may be being shown a synthetic image and are starting to reward brands that play fair. Let’s look at the figures and, above all, see what you can do about it.
Generative AI has triggered a crisis of confidence
The most revealing figure is given in the Artlist AI Trend Report 2026: 57 per cent of consumers are no longer able to tell whether an image has been created using artificial intelligence. When people cannot trust their own eyes, they stop trusting by default. And that mistrust has very specific commercial consequences.
A WARC report published in April 2026 made it clear: 68 % of people are unsure whether the content they see is real, and half of consumers in the United States say they prefer to spend their money on brands that no use AI in their advertising. This is an uncomfortable fact for anyone who has rushed to automate everything without considering how it is perceived by the person on the other side. The same source adds a nuance worth highlighting: adverts that appear to be created by humans achieve higher click-through rates and greater acceptance, even though, technically, AI can match the result.
It is worth putting these figures into context. The WARC study measures the US market, whilst Artlist’s is a global sector report; neither is a representative survey of the entire Spanish population. However, the trend they describe — growing scepticism towards synthetic content — is sufficiently widespread that no European brand can afford to ignore it.
What is Authenticity 3.0 and why is it changing the rules?
The concept that best sums up this moment is that of Authenticity 3.0, a term coined in the aforementioned Artlist report. The idea is simple, yet demanding. For years, being authentic meant showing your emotions, being approachable or imperfect. That is no longer enough. In 2026, authenticity demands something more difficult to feign: verifiable transparency regarding the use of AI.
To put it another way, consumers are no longer just asking «Does this excite me?», but «Did this really happen and can I verify it?». According to the same report, 84 % of consumers believe that brands should disclose when they use artificial intelligence. Concealing this is no longer a smart strategic decision but has become a reputational risk. If you’re caught out, you don’t just lose a campaign: you lose credibility, which is far more costly to regain.
Transparency does not detract from value: it humanises
Here’s the interesting twist. Many brands fear that admitting they use AI will make them look lazy or uncreative. The opposite is actually true. Showing the process — which tool you used, what it was used for, what decisions were made by a person, and what was automated — demonstrates good judgement and control. It humanises the result rather than cheapening it.
If you want to put this philosophy into practice without getting too bogged down in theory, this is the starting point we recommend to our clients:
- Indicates which AI tools you have used in a piece where it is relevant to the audience.
- Explain what for You used the following: ideation, editing, translation, and the generation of creative variations.
- Make it clear which decisions were made by humans —the concept, the message, the final review— and which ones were automated.
- Displays the behind the scenes: drafts, discarded versions, the reasoning behind each choice.
- Deal with the imperfections as a sign that there are real people behind it, not as a mistake to cover up.
This ties in with another phenomenon that the Artlist report describes well: the rise of the educational creator. People no longer just want to consume content; they want to understand how it’s made. Brands that explain their workflows — what they do, with what and why — are building authority and a community faster than those that simply publish the polished end result. In this context, teaching carries more weight than selling.
A real-life example: when being a bit odd broadens your reach
The most frequently cited example is that of Nutter Butter, the Mondelēz biscuit brand. Rather than toning down its surreal and quirky identity to fit a mould, it decided to deliberately amplify it. The result, according to the Artlist report? Over 3,300 million organic impressions and more than 15 million interactions, without any investment in paid advertising. It didn’t work because it used more technology, but because it dared to sound unmistakably like itself. That is precisely what AI cannot replicate: your judgement, your story and your voice.
Authenticity and personalisation are not mutually exclusive
Some people interpret all this as a rejection of AI. It isn’t. Artificial intelligence remains extraordinary when it comes to analysing data, anticipating behaviour and personalising messages at scale; in fact, we’ve already touched on this when discussing AI-powered hyper-personalisation in 2026. According to data from Mastercard Dynamic Yield cited by the agency Incubeta, more than 70 % of consumers in Mexico expect brands to understand them and offer them personalised experiences. People want relevance; what they reject is deception.
The winning combination, therefore, is twofold: using AI to better understand and serve each individual, whilst at the same time being honest about how the content is created. The same source highlights another trend along these lines: the public is placing increasing trust in micro- and nano-influencers — who generate up to five times more engagement than big-name celebrities — precisely because they are perceived as more authentic and relatable.
How to get started with authentic AI-driven marketing for your brand
If you’re in charge of marketing for a business and want to put all this into practice, there’s no need for a revolution. Start with an honest assessment: in which areas do you use AI, and are you communicating this? Do your website and social media feature real people, real case studies and verifiable results, or does everything look as though it’s been cut from the same perfect mould? From there, draw up a simple internal policy on when and how to disclose the use of AI, and make it part of your brand identity rather than a hidden legal disclaimer.
Technology has levelled the playing field: nowadays, anyone can produce engaging content quickly and cheaply. What cannot be copied, however, is the intention, the judgement and the true story behind a brand. That’s the conversation worth having with your team this week, and at Vandelay we’d be delighted to have it with you whenever you’re ready to take the plunge.
Sources
- Merca2.0 — «Authenticity 3.0: the revolution that will force brands to reveal how they use AI» (based on the Artlist AI Trend Report 2026), January 2026.
- Roastbrief — «Generative AI is eroding trust in brands, according to a WARC report», April 2026.
- El Economista / Yahoo News — «Digital marketing trends for 2026: AI, authenticity and social commerce are redefining brands» (statements by Incubeta and data from Mastercard Dynamic Yield), January 2026.
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