More and more often, behind what we buy, watch, or read and even how we think or vote there’s an algorithm quietly steering us in a very specific direction. We live in a strange time when our choices aren’t just about personal taste, friends’ advice, or random inspiration anymore. Instead, they’re shaped by sophisticated data calculations, our own shortcuts and laziness, and a bit of widespread naïveté.

Platforms have become a core part of our digital lives, alongside the tech giants who run search engines and, more recently, AI systems. Here’s a striking fact: 75% of people discover new products through social media content, and 70% admit that a post, ad, or influencer has influenced at least one of their purchase decisions.

This isn’t about the classic ads we used to see on TV or in print media anymore. These days, it’s the software working behind the scenes that curates content, products, and services based on what we’re interested in, what we’ve searched for before, and even how long we scroll through certain pages.

But algorithms do more than just personalize ads. They also cut through the information overload, making choices easier and shopping experiences faster and more effective. Studies show that people are 32% more likely to buy a product when it’s advertised with video rather than just images. Yet there’s a flip side: the more data these algorithms gather, the better they get at predicting not just what you’ll buy, but how much you’re willing to pay.

And it’s not just data and stats they use algorithms borrow tricks from psychology, too. Personalized recommendations encourage impulse buying and blur the line between what we genuinely want and what we’re nudged to want. Research has found that the accuracy of these suggestions actually increases both user satisfaction and impulsive purchases.

So far, so good you might even think this is pretty handy: getting what you want or need without even asking for it. But here’s the catch. Extreme personalization shrinks our ability to discover new things, fresh ideas, and surprises. It traps us in so-called “bubbles” of predictable, safe choices.

On top of that, there’s an ethical side to consider. Opaque algorithms can exploit less informed consumers or take advantage of our cognitive biases to push products we don’t really need.

Many wonder if these algorithms can be “tamed” or “tricked.” To some extent, yes — by actively seeking diverse opinions, browsing anonymously, or taking time before buying suggested items. But make no mistake: their impact on our digital lives isn’t going away anytime soon.

FONTI CONSULTATE PER OTTENERE I DATI:

1. https://www.scirp.org/journal/paperinformation?paperid=141251

2. https://www.seejph.com/index.php/seejph/article/view/3595

3. https://insights.daffodilsw.com/blog/algorithmic-websites-and-the-future-of-e-commerce-predicting-trends-and-consumer-behavior

4. https://drpress.org/ojs/index.php/HBEM/article/view/14865/14411

5. https://www.law.upenn.edu/live/blogs/176-algorithmic-consumption-design-prices-and-data

6. https://pdfs.semanticscholar.org/4cbc/b05d3bf760f6eefb488d9e4a10e8e9b0c6b9.pdf

7. https://www.hks.harvard.edu/centers/mrcbg/programs/growthpolicy/algorithmic-harm-consumer-market

PHOTO CREDITS:

• Pixabay