A familiar example can be found on streaming platforms such as Netflix or Spotify. When you receive personalized recommendations for films, series, or music, these do not come by chance. AI algorithms analyze what you have previously watched or listened to, compare your preferences with those of other users, and suggest content that has the highest chance of appealing to you. In this way, AI turns your consumption experience into something much more personal and relevant.
Voice assistants such as Siri, Alexa, or Google Assistant are another concrete example. They can understand your commands, provide real-time information, and even control your smart home devices. The fact that you can turn on the lights, set an alarm, or check the weather simply through a voice command is made possible by natural language processing, an essential branch of artificial intelligence.
Social media platforms also rely heavily on AI. Every recommended TikTok video or suggested Instagram post is the result of algorithms designed to understand your online behavior. This personalization has two sides: on the one hand, it helps you quickly discover interesting content; on the other, it can create so-called “information bubbles,” where you see only what the algorithm deems relevant to you.
Even in more serious areas, such as healthcare, AI is becoming indispensable. Some mobile applications monitor heart rate, sleep quality, or physical activity levels, offering personalized recommendations for a healthier lifestyle. In hospitals, algorithms help doctors analyze medical images and identify potential health issues faster.
All these examples show that artificial intelligence is not just a technology of the future but a present reality. It acts as an “invisible assistant” that constantly learns from data and experiences to make our lives easier.
The remaining question is how much we are willing to rely on AI and where we should draw the line between usefulness and dependence.
(This article was developed with the help of ChatGPT)