Current text-based prompting for AI is a primitive, temporary phase, similar to MS-DOS. The future lies in more intuitive, constrained, and creative interfaces that allow for richer, more visual exploration of a model's latent space, moving beyond just natural language.

Anthropic's Cowork isn't a technological leap over Claude Code; it's a UI and marketing shift. This demonstrates that the primary barrier to mass AI adoption isn't model power, but productization. An intuitive UI is critical to unlock powerful tools for the 99% of users who won't use a command line.

Existing AI tools are good at either "asking" for information (e.g., search) or "doing" a task. AI-first browsers like Comet struggle because browsing requires seamlessly blending both intents, a difficult product challenge that has not yet been effectively solved, hindering their adoption.

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 current chatbot interface is not the final form for AI. Drawing a parallel to the personal computer's evolution from text prompts to GUIs and web browsers, Marc Andreessen argues that radically different and superior user experiences for AI are yet to be invented.

AI is best understood not as a single tool, but as a flexible underlying interface. It can manifest as a chat box for some, but its real potential is in creating tailored workflows that feel native to different roles, like designers or developers, without forcing everyone into a single interaction model.

AI chat interfaces are often mistaken for simple, accessible tools. In reality, they are power-user interfaces that expose the raw capabilities of the underlying model. Achieving great results requires skill and virtuosity, much like mastering a complex tool.

Brian Chesky compares the current state of AI interfaces to the MS-DOS era—a functional but primitive way to interact with powerful new technology. He believes the chatbot is not the final form and a "multi-touch" moment is needed, where devices and apps are completely re-imagined for an AI-native consumer world.

Chatbots are fundamentally linear, which is ill-suited for complex tasks like planning a trip. The next generation of AI products will use AI as a co-creation tool within a more flexible canvas-like interface, allowing users to manipulate and organize AI-generated content non-linearly.