Why Trust Will Be Marketing’s Biggest Advantage in 2027
Seventy-five percent of marketers say they’ve already adopted AI.¹ Meanwhile, only 32% of U.S. consumers say they trust AI-driven services.³ And when a brand’s marketing visibly leans on AI, only 7% of consumers say it makes them trust that brand more. Thirty-one percent say it makes them trust the brand less.⁶
That’s not a small gap. That’s most of the marketing industry racing in one direction while the very audience it’s trying to reach is backing away in the other.
The brands that will come out on top in the future are the ones who will keep doing the most basic thing that so many have already failed to do in the present: maintain a real relationship with their audience based on two-way communication and trust. For all the hype and philosophical grandstanding there is in the marketing industry today, success still comes down to honoring the most basic tenets of a healthy human relationship. Always has, always will. It’s that simple.
But that doesn’t mean marketers should avoid AI. And that’s where the road ahead becomes anything but simple.
Trust Is the Whole Game Now
We’re living in a moment where it’s genuinely hard to know what’s real. AI can generate a photo, a voice, a testimonial, or a headline in seconds, and it’s getting harder for the average person to tell the difference. Layer on a news environment where misinformation spreads faster than fact checks, and you get an audience that is, understandably, on guard. Not just against AI. Against anything that smells like it might be manipulating them.
That’s the environment your marketing has to operate in now. And it changes what “trust” actually means for a brand. It’s no longer just “will this product work as promised.” It’s trust that the content in front of someone is real. Trust that the intent behind it is honest. Trust that if someone hands over their data or their feedback, it will be used to genuinely benefit them, not just to sell to them more efficiently. And trust that your organization is acting ethically across the board, not only in the moment of the transaction.
That’s a high bar. It’s also, I’d argue, the biggest opportunity in marketing right now.
Most organizations are so focused on AI efficiency that trust is becoming a competitive advantage almost by default. Here’s how to make sure it’s yours.
AI’s Real Strength: Personalization, Research, and Production at Scale
Let’s start with where AI genuinely earns its place in your marketing. It is very good at three things:
- personalizing content at a scale no human team could match
- accelerating market research
- speeding up production.
AI-powered personalization can deliver five to eight times the return on marketing spend and lift sales by 10% or more when it’s built on solid, connected data.⁷ And it’s working: 93% of marketers say personalized experiences drive more leads and purchases.²
Simply put, AI is a legitimate productivity engine. It can help a small nonprofit team research its donor base the way a large corporation would. It can help a healthcare practice segment its patient communications without hiring a data analyst. It can help a small marketing agency (like ours) complete market research in one day that used to take a dedicated market research team a week or more.
Those are real benefits, both for the organization and those that they serve, and so in those contexts, AI is worth embracing.
The Line You Can’t Cross: Data Ethics and Transparency
But (and you knew there would be a “but”), here’s the thing about all that personalization power: it runs entirely on personal data, and your audience knows it.
Ninety-one percent of consumers expect brands to disclose when AI was used in their marketing, and 52% say they’d stop buying from a brand after an experience that felt inauthentic.⁸
At the same time, 40% of consumers already feel like the ads they see are irrelevant to them,⁹ which tells you people aren’t rejecting personalization itself. They’re rejecting personalization that feels like surveillance instead of service.
This is where a lot of organizations get it backwards. They treat data ethics as a compliance checkbox instead of a relationship. Here are three things that matter much more than the privacy policy buried in your website footer:
- Say what you’re collecting and why.
If you’re using someone’s browsing behavior, purchase history, or feedback to shape what they see, tell them, in plain language, before or as it happens.
- Use feedback like it matters – because it couldn’t matter more.
If a client fills out a survey or leaves a review, that data needs to visibly change something for them, not just get filed away to improve your targeting. This isn’t always as easy to execute as it may seem at first; but it’s well worth the time to implement.
- Give people a real way out.
Easy opt-outs and clear data controls aren’t just good compliance; they’re proof you mean what you say about respecting your audience.
Where AI and Humans Do Their Best Work Together
The goal for any business in using AI should not just be to do more. It should be to do better. That means being intentional about where the human belongs in the process. Nearly three-quarters of marketers, 73%, say they see AI working alongside them, assisting rather than replacing, and almost as many, 63%, believe more unique, human-centered content is what it’s actually going to take to stand out.²
I’ve been doing this work long enough to remember when “automated” email blasts were considered cutting-edge personalization. And I’ve been a user of social media long enough to remember when people were first amazed that they’d just been talking about a product one day, only to find and ad for it popping up repeatedly in their feed the next.
It didn’t take audiences long to catch on then, and it isn’t taking them long to catch on now.
The most efficient way to use AI is to let it handle the heavy lifting, drafting, research, first-pass content, data analysis, so your team’s time goes toward the part AI genuinely can’t replicate: your organization’s actual perspective, told in your actual voice, shaped by people who understand your clients and your mission.
AI can write a draft. It cannot tell your story.
Steer Clear of AI-Generated Visuals
This is one place I’d urge caution more than almost anywhere else. When researchers tested consumer reactions to AI-generated ads, using both surveys and brain activity monitoring, people intuitively picked out the AI-made ones and described them as annoying, boring, and confusing compared to traditional ads. Worse, the negative reaction didn’t stay contained to the ad. It bled into how people felt about the brand behind it.¹⁰
The trend holds across formats. Fifty-seven percent of consumers couldn’t correctly identify an AI-generated photo when tested, yet 84% said it’s important for brands to disclose when they use one, and 40% said they’d trust a brand less if they didn’t.¹¹ For video, 83% of consumers say they’ve watched something they suspected was AI-generated, usually tipped off by robotic gestures or an unnatural voice, and 36% say that lowers their opinion of the brand.¹²
So even when people can’t consciously spot AI visuals, something about them still lands wrong. That’s not a reason to panic about AI. It’s a reason to be selective.
Save AI image and video tools for concept work, internal drafts, and situations where everyone understands the content is illustrative, not real. When you’re representing your actual people, your actual clients, or your actual work, use real photos and real footage. It costs a little more time. It buys a lot more trust.
The Human Check That Closes the Gap
If there’s one habit I’d ask every organization to build into their marketing process, it’s this: never publish anything AI produced without a real person reviewing, humanizing, and adjusting it first.
This matters because of a gap that shows up again and again in the research.
AI can produce content and campaigns efficiently. But efficiency and relevance aren’t the same thing,
and audiences can feel it when a brand skips the latter. That’s exactly why 40% of consumers already describe the ads they see as irrelevant despite a decade of ad targeting technology.⁹ AI got faster. It didn’t automatically get more human.
A working human check should ask three questions before anything goes out the door:
- Does this sound like us?
Not like generic marketing copy, but like your organization, in your voice, with your priorities.
- Is this actually true and current?
AI tools can produce confident, well-formatted information that’s outdated or simply wrong. Someone needs to verify it.
- Would this land the way we intend for the person receiving it?
This is the judgment call AI genuinely cannot make. It requires knowing your audience, not just modeling them.
Build that check into your process every time, not just when something feels risky. It’s the difference between AI making your marketing faster and AI making your marketing hollow.
Use The Tool, Don’t Abuse It
AI is a necessary tool in marketing today, and used well, it’s a genuinely positive one. It can free up your team’s time, sharpen your research, and help you personalize communications in ways that used to require a much bigger budget. But it works best as a tool inside a human-driven, human-connected process, not as a replacement for one.
The organizations that will earn real trust going into 2027 aren’t the ones avoiding AI. They’re the ones using it visibly, ethically, and transparently, with real people still doing the thinking, the checking, and the connecting. In a landscape full of noise and uncertainty, that kind of consistency is what audiences are going to remember.
At Dunn Marketing, this is the foundation of our Empathy-Driven Brand Building™ approach: using every tool available, AI included, in service of real human connection, not instead of it. If you’re thinking through how to build (or rebuild) trust with your audience heading into 2027, we’d love to talk about what that could look like for your organization. Let’s connect, inspire, and convert, the right way.
