Work will bifurcate into two modes: delegating tasks to asynchronous agents (e.g., in Slack) and performing core work inside AI-native environments like Codex. These platforms will become the primary operating system where you run other apps, rather than AI being just a feature within apps.

GitHub's user base is expanding beyond professional developers. Non-technical staff in departments like legal and finance are now using tools like GitHub Copilot to build small applications and assets, effectively broadening the definition of a "developer" in the enterprise.

The future of knowledge work will bifurcate into two surfaces. The first is asynchronous delegation to AI agents in collaborative spaces like Slack. The second is a deep, synchronous co-working surface, like an IDE or creative tool, where a user and an agent collaborate intensely on a single task.

While frontier labs initially explored diverse applications like image generation and chatbots, the market has matured. The most significant revenue and competitive focus is now squarely on coding tokens and building co-workers and agents for enterprise software development, rendering other applications secondary.

The primary interface for managing AI agents won't be simple chat, but sophisticated IDE-like environments for all knowledge workers. This paradigm of "macro delegation, micro-steering" will create new software categories like the "accountant IDE" or "lawyer IDE" for orchestrating complex AI work.

The real breakthrough for AI agents is not just building software, but applying coding abilities—like tool use and scripting—to tasks in marketing, law, and research. This evolution transforms agents from developer tools into general-purpose knowledge work assistants for all employees.

The primary impact of AI coding tools is enabling non-coders to perform complex development tasks. For example, a hedge fund analyst can now build sophisticated financial models simply by describing the goal, democratizing software creation for domain experts without coding skills.

The trend of AI apps becoming "everything apps" is not a sign of product confusion or desperation. It's a recognition that the ability to write code is the foundational skill for all knowledge work. An agent that can code can also create presentations, analyze data, and build apps, blurring the lines between specialized tools.

The next wave of AI isn't just about tools; it's about "AI teammates" that augment human capabilities. This shift from "artificial" to "collaborative" intelligence will create a $3-6 trillion market by automating mundane tasks and unlocking new potential for knowledge workers, rivaling the entire IT industry.