The Rise of Anti-Algorithm: Why Consumers Want More Control Over What They See
For years, algorithms promised to make the internet better.
Netflix knew what you might want to watch next. Spotify learned your music taste. Instagram figured out which posts could keep you scrolling. Amazon predicted what you might buy.
It was convenient.
But somewhere along the way, personalization started to feel less like assistance and more like influence.
That’s the thinking behind “Anti-Algorithm,” one of Mintel’s three major Global Consumer Predictions for 2026 and beyond.
The trend doesn’t mean consumers suddenly want technology to disappear. It points to something more nuanced: people increasingly want to feel like they’re making their own choices rather than having those choices quietly made for them.
When personalization becomes too personal
Algorithms were originally designed to solve a simple problem: there’s too much information, so let’s show people what’s most relevant.
Today, recommendation systems influence much more than what movie someone watches next.
They help determine the news people encounter, products they discover, creators they follow, places they visit, and ideas they’re exposed to.
Mintel argues that this creates a growing tension between convenience and control. The same algorithm that saves someone time can also narrow what they see and reinforce what it already believes about them.
Recent academic research takes this idea further. A 2026 paper published in the Journal of the American Philosophical Association examined how recommendation algorithms can affect people’s ability to express and understand their authentic selves. The researchers argue that more controllable and explainable recommendation systems could give users greater autonomy. (Cambridge University Press)
That’s an important shift.
People don’t necessarily want less technology. They want more say in how technology influences them.
Consumers are rediscovering the value of choice
Part of the appeal of algorithms is that they remove effort.
You don’t need to choose what to watch. Something is recommended.
You don’t need to search for music. A playlist appears.
You don’t even need to decide what content interests you. Your feed learns that for you.
But removing too much friction can also remove something valuable: discovery.
Kantar identified a similar movement in its 2026 consumer trends research, highlighting a growing desire for people to become more active participants in their leisure time and push back against passive, algorithmically curated consumption. (Kantar)
Sometimes people want to find the unexpected rather than receive the statistically perfect recommendation.
That’s where the anti-algorithm movement becomes interesting for marketers.
Authenticity could become a competitive advantage
Digital marketing has spent years becoming more personalized.
We segment audiences. Retarget visitors. Build lookalike audiences. Automate recommendations. Optimize creative. Predict what someone is most likely to click.
None of those practices are inherently bad.
The problem comes when optimization becomes so aggressive that every interaction starts feeling engineered.
Consumers can recognize when they’re trapped in a marketing funnel.
Brands that stand out may increasingly be those that leave some room for human judgment, personality, and even unpredictability.
That could mean featuring genuine employee recommendations instead of “recommended for you.” It could mean giving customers more control over what they see. Or it could simply mean creating content because it’s interesting and useful rather than because an algorithm says it will perform.
Platforms are already being pushed toward greater choice
This isn’t purely a cultural trend.
Regulation is also moving in the same direction.
Under the European Union’s Digital Services Act, very large online platforms and search engines are required to provide users with at least one recommendation option that isn’t based on profiling. Platforms must also provide greater transparency about how their recommendation systems work. (European Commission)
That matters because consumer expectations often follow the features people become accustomed to using.
Once users become comfortable choosing how their feeds are personalized, similar expectations could spread to other digital experiences.
What this means for brands
The lesson isn’t to stop using algorithms.
It’s to stop letting algorithms become the entire strategy.
Businesses should think about how they can give customers more agency while still using technology to make experiences easier.
That might include:
- Giving customers meaningful control over recommendations and personalization.
- Creating content for people first rather than chasing every platform trend.
- Showing why something is being recommended instead of hiding the logic behind it.
- Investing in human voices, experts, creators, and communities.
- Creating opportunities for exploration and unexpected discovery.
- Being transparent about how customer data influences personalized experiences.
There’s also a simple test marketers can apply:
Are we using the algorithm to better serve the customer, or are we changing the customer experience primarily to better serve the algorithm?
Those two approaches can produce very different brands.
The bottom line
The anti-algorithm movement isn’t really anti-technology.
It’s pro-choice.
Consumers still appreciate personalization, recommendations, and convenience. What they’re becoming less comfortable with is surrendering control over what they see, discover, and ultimately choose.
Mintel predicts that consumers will increasingly favor platforms that let them understand, edit, and even help shape the algorithms influencing their experiences. (Mintel)
For businesses, the opportunity isn’t to abandon personalization. It’s to make personalization feel like a service rather than manipulation.
The next generation of great customer experiences may not be the ones where the algorithm makes every decision perfectly.
They may be the ones that know when to let the customer decide for themselves.
