How Artificial Intelligence is Changing the Way We Shop 
Automatic translate
In museums, we’re accustomed to seeing the results of human selection: paintings, sculptures, and objects that have stood the test of time, criticism, and the rigors of time. Something similar happens in everyday life — only instead of curators and art historians, we’re surrounded by algorithms, ratings, and endless product lists. Artificial intelligence is gradually becoming a new selection tool, influencing how we perceive things and make decisions.
From Taste to Data: A New Form of Curation
Traditionally, selection was based on authority: the opinion of an expert, critic, or community. Today, this process is increasingly delegated to systems capable of analyzing vast amounts of information. Artificial intelligence doesn’t have taste in the traditional sense, but it can identify patterns, repeatable ratings, and hidden connections between characteristics and user experience.
In this sense, AI acts as a kind of digital curator. It doesn’t create an object, but it helps understand how it is perceived by many people, where it proves successful, and where it presents problems.
Treating reviews as text, not noise
Product reviews are a special kind of modern text. They are emotional, contradictory, often subjective, and frequently distorted by external factors. Humans have a hard time perceiving them as a coherent statement. Artificial intelligence approaches them differently — as a cluster of meanings.
Algorithms analyze not only ratings but also wording, recurring themes, and the context of complaints and praise. This is similar to literary analysis, where the overall theme, rather than the individual fragment, is important. This approach allows us to separate random impressions from the consistent characteristics of a piece.
The benefits of AI for informed choice
The practical value of artificial intelligence lies not in speeding up the choice process, but in clarifying it. It helps reduce information noise and present the subject in a more holistic way.
It becomes clearer which flaws are systemic and which are random, which use cases the item is best suited for, and what limitations will be encountered. As a result, the illusion of the "perfect product" disappears, and a more mature, calmer approach to choice emerges.
WizeMart as an example of applied AI use
The WizeMart platform can be seen as an example of how artificial intelligence is being applied to the analysis of everyday objects. Algorithms are used here not for promotion, but for interpretation: they summarize user experiences and create rankings based on quality, not perceived popularity.
From a cultural perspective, this is an interesting shift. The algorithm becomes a mediator between things and people, helping to build a more meaningful perception of the world of objects.
Technologies and everyday culture
We tend to think of artificial intelligence in the context of art, image generation, or music. However, its impact on everyday decisions is no less significant. The choices we make are part of modern culture, reflecting our attitudes toward information, time, and trust.
In this process, AI acts not as a substitute for human taste, but as a tool for refining it. It doesn’t decide for us, but it helps us see more clearly — just as a museum text or curatorial commentary helps us understand an exhibit more deeply.
Conclusion
Artificial intelligence is increasingly becoming an invisible part of our everyday lives, influencing not so much the things themselves as the ways we understand them. It is shaping a new environment in which choice ceases to be an impulsive reaction to an advertisement or a random review and increasingly resembles a process of interpretation. In this sense, AI is converging with the cultural practices of analysis familiar to us from working with works of art, archives, and museum collections.
It’s important to emphasize that artificial intelligence does not claim to be the bearer of taste or the ultimate truth. Its value lies in its ability to assemble disparate human impressions into a more coherent picture. This approach doesn’t eliminate subjectivity, but it makes it transparent: individual opinions cease to be isolated and begin to be perceived as part of the overall experience.
The use of AI in choosing things also reflects a broader cultural shift — a desire for mindfulness and slowing down. In a world of information overload, algorithmic analysis is becoming a way to restore focus and return meaning, rather than just a result, to the choice process. Objects are beginning to be perceived not as yet another consumer item, but as elements of everyday culture with which people build long-term relationships.
In this context, projects like WizeMart can be viewed as experimental platforms where technology serves an interpretive rather than an intrusive function. They demonstrate that algorithms can not only enhance commercial pressure but also function as a tool for understanding, helping people navigate a complex world of objects.
Thus, artificial intelligence is gradually becoming part of the cultural landscape — not as an autonomous decision-maker, but as a mediator between people, things, and collective experience. And it is in this capacity that it opens up new possibilities for a more attentive, thoughtful, and responsible attitude toward the objects around us.