Expert guidance on AI tools has shifted from comparing individual models to highlighting two distinct user paradigms: simple, conversational 'chat' and complex 'management' of AI agents. This signifies a maturation where the user's role transforms from a conversationalist to a delegator overseeing sophisticated, multi-step tasks.

The disparity between advanced and average enterprise AI users has tripled in six months. This is driven by 'frontier firms' shifting from simple AI assistance to delegating complex tasks to AI agents, creating a compounding productivity advantage that leaves average users further behind.

While conversational AI was an initial breakthrough, the more profound user experience shift comes from AI agents that can act autonomously. The ability for an AI to read files, run commands, and manage tasks in the background without constant input marks the transition from a passive tool to a proactive partner.

The fundamental model of AI use is changing. It's moving from 'assisted' AI, which helps humans with their tasks, to 'agentic' AI, where autonomous systems perform tasks. This paradigm shift requires new methods for adoption, management, and measuring success, moving from 'seats' to 'tokens'.

The nature of enterprise AI use has fundamentally shifted at high speed. Agentic workflows, which accounted for only 13% of AI work in February, skyrocketed to 64% by June. This rapid 'flippening' shows companies are quickly moving from simple assistance to delegating high-volume, complex tasks to AI.

The paradigm for using AI is fundamentally changing. It's no longer just about chatting with a bot for information. It is now about deploying agentic systems that can operate a computer, take complex actions, and complete hours of human work in a single command, requiring a new user skillset.

Unlike generative AI (like ChatGPT) which only provides text output, agentic AI can perform actions on your behalf. It can log into accounts, click buttons, and complete multi-step tasks, shifting AI from a smart consultant to an autonomous digital assistant.

The most sophisticated AI users are no longer just prompting. They are creating automated "loops" where software prompts AI agents, evaluates the output, and re-prompts them to achieve complex goals with minimal human intervention. This shift from conversational partner to systems architect marks the next evolution in knowledge work.

Early ChatGPT use was dominated by information queries ('asking'). The release of agentic tools like Codex triggered a fundamental shift toward users delegating complex tasks ('doing'), signifying a new era of human-AI collaboration and workflow automation.