The total number of AI-related mentions in the Russian-language social media segment grew by 56%, increasing from 15.3 million to 23.9 million. The most mentioned terms include 'neural network / generative AI / GenAI / neuronka' with nearly 12.8 million mentions since the beginning of 2026, followed by 'generation' with 2.5 million, 'prompt / prompt engineering' with 2 million, and 'AI agent / AI assistant / AI helper' with 1.8 million. 'AI model' was mentioned 809 thousand times.
Interest in AI agents and related technologies is growing rapidly. Mentions of 'AI agent / AI assistant / AI helper' increased by 168% compared to 2025. Terms such as 'agentic AI' and 'multi-agent systems / architectures' are now used 3.8 times more often. 'Agent economy' and 'agent orchestration / AI orchestrator' saw growth of 14 and 17 times respectively, having been mentioned fewer than 1,000 times in 2025.
Professional AI terminology is becoming more common among general users. Mentions of 'prompt / prompt engineering' and 'AI model' grew nearly fivefold. 'Token' mentions increased by 2.7 times, while 'LLM' grew by 2.2 times. 'Vibe-coding' is used 3.4 times more often, and 'AI-native / AI-first' mentions rose by 3.5 times. Mentions of 'GEO (Generative Engine Optimization)' increased nearly 15 times.
Users are increasingly discussing the consequences of AI proliferation. Mentions of 'AI fatigue' rose by 263% and 'AI detox' by 96%. The term 'neuroslop / AI slop' showed the highest growth, increasing nearly 20 times, or 1899%, compared to 2025. Conversely, interest in early-stage AI concepts like 'digital avatar' (down nearly twofold), 'AGI' (down 17%), and the 'Turing test' (down nearly 60%) is declining.
