DOI : 10.17577/A few years ago, messengers were just a convenient replacement for SMS — a quick way to text, call, or send a photo. However, today, it is an indispensable communication tool where users discuss work projects, pay for services, receive consultations, and store personal data.
People rarely think about what’s going on in the depths of our usual chat. Why does the phone itself suggest the right word? How does the app understand the voice message even in a noisy environment? How does spam disappear even before we see it? All of this is the result of algorithms that analyze behavior, recognize patterns, and learn with us.
Artificial intelligence (AI) is gradually making messengers not only faster but also more attentive to the user. They adapt to the communication style, help save time, and at the same time, protect against digital threats. As a result, we get not just a means of chatting, but a smart and secure environment for communication — one that you quickly become accustomed to, and without which it is difficult to imagine everyday life.
In this article, let’s look at specific examples of how AI technology makes popular messengers smarter and safer, without demanding anything from users in return.
AI at Work in Top Chat Platforms
Speaking not in theory, but in practice, the influence of artificial intelligence is especially noticeable in the examples of specific messengers like Nicegram, Telegram, WhatsApp, etc.
One of the main examples of using AI in messengers is Nicegram. This is a popular messenger based on Telegram, but it offers more advanced functionality and an improved security system. The main feature of the messenger is the built-in GPT-powered AI Assistant — a full-fledged assistant that lives right inside the chats. It can explain a complex topic, rewrite the text in a more businesslike style, translate the message, or help formulate a response. The user does not need to open additional services or search for information in the browser — everything happens in one dialog box. This is no longer just a correspondence, but an interactive work with content.
In Telegram, artificial intelligence is actively used to protect users. The platform uses algorithms to detect spam, fake accounts, and suspicious mass mailings. If the system notices atypical activity, for example, a bot is sending identical messages to hundreds of people, the account is quickly blocked. In addition, Telegram has smart filters in groups and channels that automatically delete unwanted messages.
WhatsApp messenger offers a WhatsApp AI function, which helps not only with security but also with convenience. This predictive input function analyzes the user’s communication style and suggests the most likely words and phrases. In this case, machine learning technologies strengthen the system for detecting fraudulent schemes — suspicious links and mass mailings are detected even before they become a problem.
In Viber, which is popular in some countries, artificial intelligence is actively used to protect users from spam and unwanted calls. Algorithms analyze the behavior of senders, the mass of mailings, and user complaints, automatically tagging suspicious contacts. In addition, in business chats, AI helps companies process customer requests faster through automatic responses.
Secure Signal, which focuses on privacy, also uses intelligent protection mechanisms. The system monitors atypical login attempts and enhances registration security. Data processing technologies help optimize the quality of communication and message transmission without compromising privacy.
Separately, it is worth mentioning Facebook Messenger, where algorithms are used for intelligent business chatbots. Companies can automate customer support: the bot answers frequent questions, places orders, and sends requests to the operator only if necessary. This speeds up communication and reduces the human factor in typical situations.
This is how, gradually and quietly, AI makes messengers smarter and safer. It does not replace live communication, but takes over the routine, filters out risks, and helps people focus on the main thing — the conversation itself.
