The future of AIAgent won't just be about adding an automation layer to human capabilities. Instead, it will gradually evolve into a true system operating layer. Many abilities that seem important today—such as skills, MCP, CLI—are essentially interface forms of a transitional period.

Their existence is to help models learn to call the external world first, but in the long term, these capabilities will be absorbed internally like drivers in an operating system, becoming the Agent's instinctive action. By then, people won't care about what protocol is used to connect, which commands are called, or how many intermediate layers are involved—they only care whether the goal is reliably accomplished.
A truly mature Agent shouldn't expose tools as the main interaction object. CLI has too high a cost for humans; it's more suitable for machines than for the general public. The future focus isn't on teaching people more commands, but on letting the Agent itself understand, select, orchestrate, and error-correct. Tools will become increasingly invisible, capabilities increasingly internalized, and interactions increasingly results-oriented.
So when many people say GUI user interfaces are dead, I don't agree. This doesn't mean interfaces will disappear. Conversely, the stronger the Agent, the more it needs a high-density, low-burden GUI panel to help people/machines quickly understand system status.
Even AI shouldn't operate after reading through all feature documentation—it should first see the global state and system operation: which tasks are currently running, which resources are occupied, which objectives are completed, where risks exist, and why the system made these decisions. The best Agent experience in the future won't be the sense of command-line control or the wandering feeling of chat, but rather a sense of collaboration that is panoramic, interventional, and trustworthy. Whoever can do well both hiding complexity and offering clear global perspective gets closer to the next generation of Agent.