Nearly one in fourteen Russians, about 7 percent, turn to neural networks before addressing their bosses or skeptical audiences. They use these tools to craft affectionate messages, stage-ready speeches, and anti-crisis remarks aimed at calming, persuading, or redirecting a conversation. The pattern comes from a Gazeta.ru–commissioned survey conducted among a carefully selected market sample. The results show that people see AI as a practical helper for impression management, not only as a novelty. In work communications, personal messages, and public statements alike, AI-generated text can save time and add polish, but it also carries risks: mixed tone, unintended connotations, and the potential for miscommunication if the audience reads it as robotic. The survey highlights that those who rely on AI for messaging tend to mix human oversight with machine-produced drafts, refining them before sharing. Source: Gazeta.ru.
Among respondents who use neural networks to generate content, 43 percent craft congratulatory messages, 38 percent compose public-facing statements for events and performances, and 12 percent design advertising slogans. This distribution suggests that people are leaning on AI to handle routine, high-volume writing tasks that would otherwise demand significant time and emotional energy. It also hints at the growing role of AI in shaping everyday communications, from personal celebrations to marketing taglines. Yet respondents emphasize the need to review AI outputs to ensure tone matches intent and audience. In many cases, human editors adjust word choices, tighten phrasing, and align content with organizational style guides. The trend underscores a broader shift toward automation in messaging across sectors, while keeping human judgment central. Source: Gazeta.ru.
Forty-six percent say they know how other neural networks work to support work with chatbots and content creation. Thirty-six percent have heard of the technology but cannot clearly explain how it could be used in practice. The remaining eighteen percent admit they are unaware of GPT chat and similar AI systems. A year earlier, only 23 percent understood how neural networks function, while 44 percent had never heard of them. The numbers reflect a rapid media exposure to AI concepts, followed by a gradual increase in practical literacy. People are increasingly exposed to examples of AI-assisted writing in news feeds, ads, and educational materials, which shapes expectations about what the technology can deliver. Source: Gazeta.ru.
Eleven percent report using neural networks at least once to write a text, and nine percent say they can easily identify AI-generated material. Among this group, 52 percent describe AI-crafted text as vivid and expressive, yet sometimes overly abstract. Twenty-one percent point to frequent logical errors and contradictions that betray the machine’s not-quite-human logic. Fifteen percent notice unusual metaphors or awkward phrasing that reveal an algorithmic origin. Nine percent warn that AI’s artificiality becomes apparent through certain stylistic parameters, while three percent experience anxiety and discomfort about the presence of AI in writing. These insights show both curiosity and caution in equal measure when AI enters everyday language tasks. Source: Gazeta.ru.
Many participants report recognizing AI-generated material in official documents such as reports, diplomas, course materials, and formal coursework. The hardest area to detect AI authorship is in private literature, personal messages, and casual notes, where style variation and context can mask machine-made text. People worry less about concrete outcomes and more about authenticity, trust, and the potential for miscommunication when AI is involved in personal or sensitive communications. These dynamics illustrate the tension between efficiency gains and the perceived need for human warmth and nuance in everyday writing. Source: Gazeta.ru.
Approximately three thousand Russians from cities across the country, aged 18 to 55, took part in the survey. The sample included a mix of urban and smaller-city respondents to capture a broad picture of AI awareness and use. The questions explored familiarity with neural networks, patterns of usage, and attitudes toward AI-generated content in both professional and private contexts. While some respondents welcomed AI as a helpful tool that can speed up routine tasks, others warned about risks such as misinterpretation, manipulation, or loss of voice. The data suggests a society that is increasingly comfortable with technology, yet still discerning about when and how to deploy it. Source: Gazeta.ru.
It is known that artificial intelligence can help increase income across different sectors, from marketing to education and beyond. The survey signals that businesses that adopt AI tools for content creation, customer outreach, and internal communications may gain efficiencies and consistency, provided they implement safeguards for tone, accuracy, and privacy. As with any powerful technology, the key is balancing automation with human oversight to preserve trust and personal connection. The findings point to a moment of practical experimentation in Russia and among Russian-speaking audiences about how AI can be used to support real-world communication needs. Source: Gazeta.ru.