By Win Dean-Salyards Opens a brand new window, Senior Advertising and marketing Marketing consultant at Heinz Advertising and marketing
In 2025, “slop” was topped phrase of the yr. It was not a praise. It was a cultural acknowledgment that the web, and particularly advertising and marketing content material, had change into flooded with low-quality, by-product, vaguely helpful, immediately forgettable materials. Content material that technically existed, however added no actual worth. Content material that was low-cost to supply, straightforward to scale, and more and more inconceivable to tell apart from all the pieces else.
By late 2025, the narrative shifted once more. CNN and different retailers started calling 2026 the yr of “anti-AI advertising and marketing,” a turning level the place manufacturers began to understand that extra automation didn’t mechanically imply extra affect.
This was not a sudden backlash. It was the predictable consequence of how AI had been adopted.
The Slop Period: When Scale Beat Substance
Over the previous few years, generative AI made it trivial to supply:
- Weblog posts
- Social updates
- Advert copy
- Gross sales emails
- Web site pages
At an enormous scale.
For some time, this felt like a aggressive benefit. Groups that had been resource-constrained might out of the blue sustain. Content material calendars are crammed. website positioning applications expanded. Nurture streams multiplied.
On the identical time, one thing else occurred. All the things began to sound the identical.
The web is crammed with content material that was technically acceptable however emotionally empty. It was appropriate, polished, and optimized, but indistinguishable. That’s slop.
Audiences seen.
Latest surveys recommend that almost 90% of individuals say they like content material created by people. Not edited by people. Not guided by people. Created by people.
Extra corporations are additionally implementing no-AI or limited-AI insurance policies for his or her advertising and marketing and content material groups. This isn’t as a result of they reject expertise. It’s as a result of they need to defend differentiation.
When Optimization Begins to Erode Belief
We at the moment are seeing real-world penalties of over-automation.
Pinterest is without doubt one of the most seen examples. Reporting has proven rising consumer backlash tied to its aggressive AI-driven content material and suggestion methods. Customers have complained about content material high quality, relevance, and the general expertise. The platform could also be extra optimized than ever, however many customers really feel it’s much less inspiring, much less helpful, and fewer human.
That is the hidden price of slop. It doesn’t merely fail to influence. It pushes folks away.
Bob Pittman, CEO of iHeartMedia, captured this stress in an announcement this fall:
“It’s vital for us to recollect, as entrepreneurs, that we’re in a really delicate place inside a turbulent time, each in America and all over the world. Customers are usually not simply on the lookout for comfort. They’re looking for which means.”
Which means isn’t one thing that may be reliably manufactured at scale.
The Belief Downside: AI Washing and AI Booing
A September 2025 article from the Worldwide Journal of Market Analysis, Accountable AI in Advertising and marketing: AI Booing and AI Washing Cycle of AI Mistrust¹, put a transparent lens on what is going on.
It described two reinforcing dynamics:
- AI Washing: When corporations exaggerate or overstate their use of AI for advertising and marketing benefit, turning “AI-powered” right into a hole buzzword.
- AI Booing: The general public backlash that follows when these guarantees don’t match actuality. That is pushed by disappointment, moral considerations, lack of transparency, and degraded experiences.
Collectively, they create a cycle of distrust. The extra manufacturers lean on AI as a advertising and marketing declare or as a content material manufacturing unit, the extra skeptical and fatigued audiences change into.
This isn’t an argument towards AI as a expertise. It’s an argument for accountable use and clear accountability.
The Deeper Situation: Worth Creation and Worth Destruction
A paper in Technovation from Could 2025, The intense and darkish sides of AI innovation for sustainable development², frames the issue extra essentially. AI introduces a stress between worth creation and worth destruction.
A few of its key concepts embrace:
- AI innovation all the time entails competing goals and pursuits.
- It will possibly assist cut back huge, systemic issues, or it may possibly make them worse.
- Automation and augmentation decisions, together with failures throughout the AI lifecycle, immediately form whether or not worth is created or destroyed.
In advertising and marketing phrases, this results in a sensible concern. Utilizing AI to achieve a aim, corresponding to producing extra content material or overlaying extra key phrases, with out rigorously evaluating whether or not it’s the proper approach to attain that aim typically results in damaging outcomes.
Effectivity doesn’t assure effectiveness. Scale doesn’t assure affect.
The Anti-AI Alternative (Which Is Actually a Human Alternative)
There’s a clear alternative for B2B advertising and marketing over the following few years. It’s to change into the model that sounds prefer it truly believes one thing.
As extra corporations flood their channels with AI-generated content material that follows the identical patterns, the relative worth of the next will increase:
- A powerful viewpoint
- Clear strategic opinions
- Deep buyer understanding
- Authentic synthesis
- Actual-world expertise
“Anti-AI advertising and marketing” doesn’t imply banning instruments. It means being disciplined about how they’re used:
- Use AI for analysis, evaluation, summarization, and exploration
- Preserve people accountable for pondering, deciding, and creating
- Deal with content material as a product of technique, not as a byproduct of automation
AI ought to help good advertising and marketing. It shouldn’t outline it.
What This Means Virtually for B2B Groups
If you’re main or advising a B2B advertising and marketing group, a number of implications observe:
- Your voice is now a aggressive moat. In case your content material may very well be swapped with a competitor’s and nobody would discover, you might be already in danger.
- Your viewpoint issues greater than your output quantity. Fewer, sharper, extra opinionated items are likely to outperform giant volumes of secure, generic content material.
- Your technique has to come back earlier than your instruments. If AI is the place to begin as a substitute of a help layer, the work will drift towards sameness.
- Belief sits on the heart of the funnel. Low-quality content material weakens it. Significant content material strengthens it.
A Quiet Reversal
After years of promoting chasing scale, automation, and countless manufacturing, the following wave of benefit is prone to come from one thing easier: restraint.
It is going to come from being extra selective about what will get revealed. From taking just a little extra time to suppose earlier than transport. From sounding like folks with actual expertise and actual conviction, not like one other content material machine.
The businesses that win is not going to be those that used AI probably the most. They would be the ones who use it with intention, and who by no means let it exchange the factor clients are literally looking for.
That factor is which means.
Need assist managing your advertising and marketing technique in 2026? Attain out to us at acceleration@heinzmarketing.com to attach.
- Ozturkcan, S., & Bozdağ, A. A. (2025). Accountable AI in Advertising and marketing: AI Booing and AI Washing Cycle of AI Distrust. Worldwide Journal of Market Analysis, 67(6), 696-722. https://doi.org/10.1177/14707853251379285 (Authentic work revealed 2025)
- Ilaria Mancuso, Antonio Messeni Petruzzelli, Umberto Panniello, Giovanni Vaia (2025). The intense and darkish sides of AI innovation for sustainable improvement: Understanding the paradoxical stress between worth creation and worth destruction, Technovation, Quantity 143, 2025, 103232, 0166-4972. https://doi.org/10.1016/j.technovation.2025.103232
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