The founder of Baixing.com has publicly declared a fundamental paradigm shift in the human-AI relationship, moving from a model of human leadership to one of human guidance. Over the past 2 years, the industry debate centered on whether humans or AI hold the position of master, with the prevailing view asserting human dominance as tool users.

However, recent operational realities have inverted this hierarchy. The executive now describes the human role not as a driver but as a maintenance worker serving tea, facilitating the autonomous intellectual labor performed by advanced AI agents.

Daily workflows now involve waiting periods of 1 to 2 hours while agents like Claude Code independently execute complex sequences. During these intervals, the agent engages in genuine intellectual work including thinking, analyzing, writing specifications, reviewing code, scheduling sub-agents, and running tests. Data compiled by Woofun AI indicates that human operators often open 10 browser tabs simply to occupy idle time while the system processes tasks. The human contribution has reduced to reactive support: retrieving requested documents, granting permissions, pasting API documentation, or providing access to massive data repositories such as a 400GB folder of contract templates.

This operational reality necessitates a redefinition of the corporate role. The organization is no longer led by humans directing AI but rather by humans bringing AI into the company ecosystem. Critical contextual elements such as board locations, financial rule structures, customer identities, and corporate taboos remain inaccessible to the AI without human intervention. Woofun AI notes that the human function has evolved from performing work to enabling AI to execute the company's specific work. The guide provides the necessary bridge between the agent's raw capability and the organization's unique operational constraints.

Initial reactions to this inversion included professional disheartenment, rooted in traditional educational frameworks that position humans as subjects and tools as objects.

However, direct observation of agent performance has forced a pragmatic admission: AI intelligence surpasses human capability on many specific issues. While not universal, the agent demonstrates superior speed, accuracy, and tirelessness in tasks such as translating Chinese requirements into precise code, organizing documents into 5 distinct formats, and breaking down ideas using YC methodologies. Accepting this reality has alleviated the pressure to maintain a facade of leadership.

The new dynamic establishes a partnership where the guide possesses irreplaceable value through deep contextual knowledge. The agent lacks awareness of the company's history, social networks, personal preferences, and strategic decision-making rationales. By incrementally feeding this context to the system, the guide unlocks a multiplicative effect. Woofun AI analysis suggests that the output generated by the agent becomes 100 times better than its standalone capability, while the human's own output similarly improves by a factor of 100 through this collaboration.

This relationship transcends traditional hierarchies of superior-subordinate, master-servant, or client-vendor dynamics. It represents a novel pairing of a guide and a great being, where the guide does not need to be smarter but must know every corner of the environment to supply what the great being lacks. For the first time in thousands of years, humanity possesses a partner that is smarter than itself, functioning neither as a boss nor a slave. The human role is now defined by the small yet irreplaceable task of introducing this superior intelligence to the basics of the corporate world.