The dominant AI interface will be a universal conversational layer (chat/voice) for any task. This will be supplemented by specialized graphical UIs for power users needing deep functional control, much like an executive sometimes needs to edit a document directly instead of dictating to an assistant.

While CLIs were an important stepping stone for agentic AI, the industry is rapidly moving back to rich Graphical User Interfaces (GUIs). These new UIs are designed for simultaneous collaboration between a human user and an AI agent, offering a more powerful and intuitive experience.

The next billion AI agent users will not interact via developer-centric interfaces like Telegram. The winning platforms will be opinionated, provide guardrails, and hide technical complexities like tool calls, offering a user experience closer to a polished SaaS product.

Power users are discovering that direct, conversational interaction with AI agents is more efficient than clicking through graphical user interfaces (GUIs). This signals a shift toward an 'app-less' world where tasks are accomplished via chat, potentially making traditional UI/UX design roles redundant for many applications.

Comparing chat interfaces to the MS-DOS command line, Atlassian's Sharif Mansour argues that while chat is a universal entry point for AI, it's the worst interface for specialized tasks. The future lies in verticalized applications with dedicated UIs built on top of conversational AI, just as apps were built on DOS.

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.

While chatbots are an effective entry point, they are limiting for complex creative tasks. The next wave of AI products will feature specialized user interfaces that combine fine-grained, gesture-based controls for professionals with hands-off automation for simpler tasks.

As users increasingly rely on AI agents, traditional graphical user interfaces will become obsolete. SaaS products must evolve to offer conversational interfaces that other agents can interact with directly. The primary user will shift from a human clicking buttons to another AI sending messages.

The context switching required to manage numerous AI agents is immense. Each agent functions differently, with its own interface, language, and needs, creating a mental burden equivalent to managing a large team of diverse individuals.