AI Can Write Your Content. Should It?
AI can write your Instagram caption.
It can draft your email campaign, generate a blog post, brainstorm 30 content ideas, write an ad, create an image, clone a voice, and probably come up with twelve different ways to say “authentic connection” before you finish your coffee.
The question is no longer whether businesses can use AI to create marketing content.
The better question is:
How much should they?
Because while marketers have been busy figuring out how much faster we can create content with AI, consumers have been developing some opinions about all that content showing up in their feeds.
And those opinions should probably matter to us.
Consumers Are Starting to Feel the AI Fatigue
In September 2026, Gartner released research examining how AI-generated content is affecting consumer trust. The findings were pretty hard to ignore. In the survey of 1,006 U.S. consumers conducted in May and June 2026: 65% said they believe brands are producing too much AI-generated marketing content. Even more importantly, 57% said AI-generated content has made them less trusting of brand messaging overall. And 43% said they are relying more on real people for shopping information and recommendations because of the prevalence of AI-generated content.
Read that last one again.
As businesses gain access to more technology for producing content, consumers may actually be placing more value on hearing from real humans. That is a very important distinction. The problem isn't necessarily AI. The problem is what happens when AI replaces the parts of marketing people actually connect with.
Consumers Aren't Saying “Never Use AI”
This is where the conversation needs a little nuance. AI itself isn't automatically destroying consumer trust. In fact, there are plenty of places where people are becoming comfortable with it.
Adobe surveyed 850 U.S. consumers about AI-generated audio in advertising in early 2026. While 77% said they trusted human voices the most, consumers were considerably more accepting of AI voices in certain functional environments, including video games and customer service. Nearly three-quarters also believed brands should disclose when AI-generated voices or music are being used.
Another Gartner survey found that 50% of U.S. consumers would prefer to do business with brands that don't use generative AI in consumer-facing content. That study also found 68% of consumers frequently wonder whether the content and information they encounter is real.
That's not a giant flashing sign telling marketers to throw ChatGPT out the window. It is a flashing sign telling us to be intentional. Consumers seem to care about where AI is being used, why it is being used, and whether its use makes an interaction feel less genuine.
Emotional Content Is Where Things Get Particularly Interesting
There is another piece of research marketers should pay attention to. A study published in the Journal of Business Research examined consumer responses when generative AI, rather than a human, authored marketing communications. Across multiple experiments, researchers found that using AI to create emotionally driven messages reduced positive word of mouth and loyalty. Perceived authenticity helped explain the effect.
But there was an important catch. The negative response diminished when the communication was factual or when AI was simply being used to edit the content. And that is where we think the conversation about AI and marketing gets much more useful.
Because there is a significant difference between:
“Use AI.”
and
“Let AI become your brand.”
Those are not the same marketing strategy.
Where AI Is Really, Really Useful
We use AI. There, we said it. We are a marketing agency in 2026. Of course we use AI.
The technology can be incredibly useful for things like:
Organizing research
Brainstorming angles
Creating first drafts
Repurposing existing content
Summarizing information
Cleaning up copy
Developing outlines
Analyzing patterns
Exploring different approaches to a campaign
Used well, AI can remove a lot of the repetitive work that slows marketing teams down. And that gives humans more time to do the work humans are actually good at: thinking, creating, interviewing, listening, understanding customers, developing opinions, building relationships, making something worth paying attention to.
AI should make your marketing team faster. It shouldn't make your brand forgettable.
Where Brands Start Getting Into Trouble
The trouble starts when efficiency becomes the entire strategy. If your goal suddenly becomes producing five times as much content simply because you can, you're solving the wrong problem.
Consumers already have more content than they could possibly consume. They do not need another 14-slide carousel explaining “5 Tips for Success.” They do not need another perfectly polished LinkedIn post that somehow uses 400 words without expressing a single opinion. And they definitely don't need a heartfelt founder story written entirely by software that has never met the founder. More content isn't automatically better marketing.
Gartner found in another 2026 survey that 49% of U.S. consumers felt generative AI had made the quality of available content worse. Among Gen Z and millennials in that survey, the number rose to 57%.
That's the risk of the AI content race. When everybody can produce more, more stops being the advantage.
Specificity becomes the advantage. Expertise becomes the advantage. Personality becomes the advantage. Experience becomes the advantage. Trust becomes the advantage.
In other words, the things that are hardest to automate become more valuable.
The Content Test We Wish More Brands Would Use
Before you publish your next AI-assisted piece of content, don't just ask:
“Is this good?”
Ask:
“Could this have come from anyone?”
Remove your business name. Remove the logo. Remove the brand colors.
Now read it again.
Could your competitor post the exact same thing tomorrow? Could a completely different company in another state publish it without changing anything? Could you swap your name for theirs and nobody would notice?
If the answer is yes, you probably don't have a content problem. You have a perspective problem. And generating more content isn't going to fix it.
Try It: The Indrix Human Check
Before publishing AI-assisted content, run it through these five questions.
1. Does this actually sound like us?
Not “Does it sound professional?”
Not “Is the grammar correct?”
Does it sound like your business?
Look for phrases your team actually uses, the way you explain things to customers, your sense of humor, your level of formality, and the little verbal quirks that make your communication recognizable.
If the answer is no, rewrite it.
2. Is there something here AI couldn't know without us?
This might be:
A client experience.
An opinion.
A lesson you learned the hard way.
A behind-the-scenes detail.
Something your customers consistently misunderstand.
An observation you've made after years in your industry.
A real example.
AI can help you articulate expertise. It cannot manufacture the experience that created it.
3. Could a competitor publish this word for word?
This one hurts a little. But do it anyway. If the answer is yes, identify one place where you can add your company's actual perspective.
What do you believe about this subject?
What would you do differently?
What have you seen firsthand?
Give people a reason to remember who said it.
4. Are we asking AI to manufacture an emotion we didn't provide?
Be especially careful here. Founder stories, customer appreciation messages, testimonials, vulnerable posts, community messages, apologies, employee stories and other emotionally driven communications deserve human involvement.
Research suggests this is precisely where perceived AI authorship can hurt authenticity and consumer response.
Give AI the real story if you want help organizing it. Don't ask AI to invent the humanity for you.
5. Did a human actually review this?
Yes, actually review it. Not skim the first paragraph and hit publish.
Check the facts.
Check the tone.
Check whether the examples are accurate.
Remove the weird generic phrases nobody at your company would ever say.
Ask whether the content is genuinely useful.
And, most importantly, make sure you still agree with what your own brand is saying.
Your Score
5 yeses: Publish it. AI helped, but your brand is still driving.
3–4 yeses: You're close. Give it another human editing pass.
0–2 yeses: Stay away from the publish button. We need to talk.
So, Should Your Brand Use AI?
Probably. But we don't think the smartest brands are going to be the ones pretending AI doesn't exist.
And we don't think they're going to be the brands handing their entire personality over to it either.
The opportunity is somewhere in the middle.
Use AI to: research faster, organize, brainstorm, edit, help your team get from a blank page to a strong starting point. Then bring in the thing your competitors can't generate with the exact same prompt: YOU. Your experience. Your customers. Your opinions. Your stories. Your expertise. Your weird little brand personality.
Because as AI makes content easier to create, simply creating content becomes less impressive.
Creating something worth trusting is where the work begins.
AI Should Be a Tool. Your Brand Should Still Be the Author.
At Indrix Creative Co., we're not interested in pretending AI isn't changing marketing. It absolutely is. We're much more interested in helping businesses figure out how to use it without sanding off everything that makes their brand worth following in the first place.
Good marketing has never been about producing the most content. It's about knowing what you want to say, who needs to hear it, and why they should care.
AI can help with the production. We'll keep the humanity.
