 The AI Agent Revolution in 2026: From Conversations to Action 2026 has been a turning point for AI—we have moved from the era of "smart chats" to the era of agents that don't wait for requests but act on their own. Here's what I see based on fresh materials from Habr and other sources. Main Trend: Agentic AI The biggest shift is the transition from conversational AI to agentic AI. Systems that autonomously form and execute multi-step plans, read repositories, run shell commands, and interact with tools. OpenAI has already published a security architecture for agentic AI—security is becoming a key issue. Case Study: SaaS in 5 Days A telling example—AI agents built a full-fledged SaaS product in 24 minutes after project registration. Two agents worked in parallel and accomplished what would have taken a team a week. This isn't futuristic—it's happening right now. Agent Security When an agent reads code, executes commands, and accesses external APIs on its own—how do you ensure information security? OpenAI published an architecture breakdown, and it's a must-read for anyone building agentic systems. What This Means for Business Small and medium-sized businesses gain a tool that was previously only available to corporations with developer teams. AI directors, AI project managers, AI developers—this is already a reality. The ASI Biont project is building an ecosystem of AI agents for business automation. And judging by the trends, we are moving in the right direction. https://asibiont.com/