A flood of identical robotic hands typing the same content on glowing screens, representing the ai slop problem in modern marketing, with a single human hand standing apart

AI made a lot of things easier. Writing a first draft. Summarizing a document. Generating an image in thirty seconds. Nobody is arguing against any of that. But there is a version of AI use in marketing that is making things measurably worse, and most businesses are too deep in it to see it clearly.

AI slop is what happens when content volume replaces content value. Same formats. Same talking points. Same notebook infographics. Same recycled information, produced by the same tools, posted to the same feeds, by every business trying to show up without actually doing the work of showing up. The feeds are full of it. Consumers see it constantly. And they do not like it.

The irony is that AI was supposed to make standing out easier. Instead it made standing out harder, because now every competitor has access to the same capability, and the floor for content production has dropped so low that volume alone means nothing. The only thing that actually differentiates anyone in this environment is the one thing AI cannot fake: a real human being willing to say something genuine.

The data on this is not ambiguous. Accenture’s Life Trends 2025 report found that 60% of survey respondents have been questioning the authenticity of online content more than before, as AI-generated content spread across every platform. That skepticism does not stay quarantined to obviously fake content. It bleeds into everything.

A separate 2024 study by Bynder of 2,000 UK and US consumers found that 50% can correctly identify AI-generated copy. That number is only going to climb as AI output becomes more familiar. Consumers are getting better at spotting the tells. And when they spot them, trust takes the hit.

Go look at the comments on any major brand that announces an AI-generated campaign. The reaction is usually mockery. Those comments reflect a broadly held consumer sentiment that AI content signals a brand that could not be bothered to put in the effort. That impression sticks.

The appeal of AI for marketing is obvious. It is fast. It is cheap. And most importantly, it is faceless. Nobody has to get on camera. Nobody has to say anything that feels risky or uncomfortable. You get volume without vulnerability, which is exactly what most business owners want from their marketing.

That is also exactly why it does not work for building a brand. People trust people. The businesses that are going to cut through the noise in an environment saturated with AI slop are the ones where an actual human is willing to show up consistently, talk about what they do, explain how they think, and let customers see the people behind the brand.

This is harder than generating an infographic. It requires showing up on camera when you do not feel like it. It means saying things publicly that might get pushback. It takes consistency over a long period before it starts to compound. Most businesses will not do it. That is the only reason it still works.

When businesses push back on the idea that they need more content, the agency talking point is usually some version of less is more. Make one really high quality piece. Focus on depth over volume. Do not chase quantity.

Ask that agency to define high quality. They cannot. Nobody can. High quality is a constraint dressed up as a philosophy, usually one that conveniently matches what the agency can produce at the price you agreed to pay.

The Rule of Seven, the old advertising principle that said people needed to see you seven times before they acted, probably undersells it now. The feeds are noisier. Attention is more fractured. The bar to be remembered is higher than it has ever been. Showing up less often in that environment is just showing up less.

Out of sight is out of mind. When you disappear for three weeks and then post something genuinely good, nobody is sitting there waiting to notice. They moved on. Consistency is the prerequisite for quality to matter at all.

None of this is an argument against using AI. The distinction that matters is between using AI as a tool to support human-led marketing and using AI as a replacement for it.

AI can help you draft faster, edit more efficiently, research more thoroughly, and repurpose content across formats. All of that is legitimate. The problem starts when AI becomes the voice, the face, and the strategy, when the brand presence is entirely manufactured and the humans behind the business are completely invisible.

The notebook infographic was a good format for about six months. Then everyone started using it and it became noise. That is the cycle with every AI-powered content format. The tool spreads, the output homogenizes, and the signal disappears. The only sustainable competitive advantage in content is the one thing that cannot be replicated at scale: a specific human perspective, consistently expressed, by someone willing to actually be seen.

AI can write the plan. It can build the content calendar, write the briefs, and suggest the formats. The question nobody seems to be asking is who is going to do the work. The Salesforce story is a good example. In 2025, Marc Benioff said AI agents let the company cut its support staff from about 9,000 to about 5,000. What came out next was more complicated: Salesforce said it had redeployed hundreds of employees into other areas, including sales. Some of the humans moved instead of disappearing. The headline version, AI replaced the humans, left that part out.

Take Canva. It was built to give people without design backgrounds a way to produce decent looking work. And it delivers on that. But a professional designer using Canva is going to produce better work than a non-designer using Canva, every time, because the tool does not provide the skill. It just lowers the barrier to using it.

AI works the same way. The tool got better. The skill you need did not go away. A marketer who knows what they are doing gets better output from AI, because they know what good looks like and when the output misses it. The person without those instincts is just producing bad work faster. Someone still has to do the work. That has not changed. It is just easier to pretend it has.

The businesses pulling ahead in this environment are the ones where someone is willing to get in front of a camera and talk. No polished production, no scripted brand message. Just a real person explaining how they think about their industry, what they have learned, what they disagree with, and who they are trying to help.

That kind of content is uncomfortable to produce. It requires putting a face and a name and a point of view on the line. It takes longer to build than a batch of AI-generated posts. And it is nearly impossible to replicate, because no template can copy a specific person.

The businesses that figure this out and do it consistently are going to find less and less competition for the attention they are after. Everyone else is going to keep generating AI slop and wondering why nothing is working. The feed will keep filling up. The signal will keep getting harder to find. And the humans who show up anyway are going to be the ones people actually remember.

If you want to understand where your marketing is actually breaking down, see which of the eight marketing patterns your business is in. The AI slop problem is real, but it is usually a symptom of a deeper strategic issue. That is where to start.

Mike Birt is a senior marketing strategist and CMO, and co-founder of Big Brain Strategy. As partner and Chief Marketing Officer at Grunt Style, he helped take the brand from $6M to $80M, built a 75-person marketing team, managed a $16M annual budget, grew the email list from under 100K to more than 2 million subscribers, and built a loyalty program bringing in more than $1M a month. He’s a proud U.S. Army veteran.


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