The Future of Orgs? AI Agent Folders
Vadim Strizheus envisions that by 2026, companies will operate less like traditional org charts and more like folders of AI agents. In this model, functions like engineering, design, and operations would be defined by .md files that instruct AI agents, representing a fundamental shift in design and operational management.
This vision of AI-managed organizations builds on the trend of flattening hierarchies, where AI tools for data analysis and real-time communication enable decentralized decision-making at lower levels. The goal is to create more agile and adaptive structures, moving away from rigid, pyramid-shaped org charts designed for stable environments. This shift is already underway, with 50% of organizations having adopted AI in at least one business function. The concept is similar to Decentralized Autonomous Organizations (DAOs), which use blockchain-based smart contracts to enforce rules and make collective decisions without a central leadership. In what are being termed "Agentic DAOs," AI agents could participate in governance alongside humans, analyzing proposals or even voting based on predefined rules. Projects like MakerDAO are already using AI tools to help manage the complexity of their decentralized governance. For public services, this model offers a way to automate complex workflows that go beyond simple chatbots. In Europe, government adoption of AI is uneven but growing, with a focus on augmenting civil servants' capabilities in areas like data analysis and decision support. Estonia's Kratt framework, for instance, aims to create a network of AI applications, allowing citizens to access various public services through a single conversational interface. This operational model requires a significant investment in data infrastructure and new governance frameworks to ensure transparency and accountability. The EU's AI Act represents one of the first comprehensive attempts to regulate high-risk AI applications, creating a legal framework that public sector organizations must navigate. The focus for GovTech innovators is on creating modular, multi-agent systems rather than single large platforms, with an emphasis on human oversight.
