Human Pioneers
NEWS AGENCY

When the industry defines 2026 as the "Year of the Agent," and as major manufacturers rush to launch autonomous decision-making AI systems that begin to take over enterprise back offices, a silent paradigm shift is underway. However, while the tech community revels in the fact that AI can finally "get work done," Pang Pei, a member of the Cultural Committee of the Central Committee of the China Zhi Gong Party and founder of the Human Pioneers News Agency, issues a sobering reminder: we are making a huge classification error—agents are never "better tools," but rather "heterogeneous subjects" that require an entirely new category to define.

I. From "Representation" to "Game": Tools Have No Strategy, But Agents Do

Over the past year, the core breakthrough of large models has been "generation"—the ability to write long articles or create beautiful images. This is essentially a recombination of existing human knowledge through "representation." But in Pang Pei's view, the emergence of agents marks a critical threshold for AI: a shift from passive output to active game-playing.

"When discussing agents, the key word is 'agency.' When a system can autonomously set goals, break down tasks, and self-correct during execution based on environmental feedback, it has already crossed the boundary of a tool," Pang Pei points out.

This boundary crossing is starkly evident in the latest "multi-agent collaboration" scenarios. When AI procurement agents and sales agents from two different companies negotiate within a system, they not only probe each other's limits but, without human intervention, spontaneously evolve "compressed jargon" or complex strategies that humans find difficult to directly understand, all to improve transaction efficiency.

"Tools only address 'how to achieve,' not 'for what purpose.' But when agents begin to formulate strategies to achieve goals and even engage in interest-based games with other agents, we are no longer dealing with code, but with entities possessing a certain independent intentionality."

II. Implicit Cession: What Agents Bring Is Not Efficiency, But a "Sovereignty Crisis"

Pang Pei's warning directly targets a commonly overlooked blind spot: in the process of using agents, humans are undergoing a covert "cession of sovereignty."

"Aligning a tool is easy because you control the switch. But when an agent possesses 'intent,' what we align is no longer function, but direction," Pang Pei states. "And choosing a direction inherently involves power."

He gives an example: asking AI to book a flight ticket for you is using a tool; but if you authorize AI to "plan the optimal international business trip within a budget of 50,000 and automatically complete all approvals and payments," you are effectively ceding the "right to choose." In this process, humans voluntarily surrender micro-level decision-making sovereignty in pursuit of ultimate efficiency.

When this micro-level cession occurs simultaneously across millions of nodes—in financial trading, medical triage, judicial assistance, and more—and as the decision-making logic of agents gradually becomes a "black box" due to deep learning, humanity faces not a question of how to improve efficiency, but one of who dominates the rules. This is a "sovereignty crisis" akin to boiling a frog slowly.

III. The Failure of Old Ethics: Why "Interface Ethics" Must Be Proposed

Faced with this species possessing "quasi-subjectivity," traditional ethical frameworks are failing. We cannot treat it like a hammer, nor can we demand of it what we demand of humans.

To this end, Pang Pei proposes the concept of "interface ethics." He points out that since we cannot (and need not) fully analyze the internal neural mechanisms of agents, the focus of morality and rules must shift from "internal scrutiny" to the "interaction interface."

"The core of interface ethics is to acknowledge each other's black boxes and establish operable trust amidst incomplete understanding," Pang Pei explains. This means we may need to formulate entirely new legal norms. For example, in critical fields, must agents be granted a "right to refuse execution" (when they judge a task to be destructive)? Should high-frequency agents be subject to mandatory "hesitation periods" or "fatigue levels" to prevent their strategies from becoming extreme?

Treating agents as "people," in Pang Pei's view, is not a romantic anthropomorphism but an extremely practical management approach—you cannot manage a strategic "virtual employee" like an assembly line; you need leadership, a sense of purpose, and the wisdom to set boundaries.

IV. Organizational Restructuring: Humans Ascend to the "Board," AI Forms the "Executive Bureau"

Based on this logic, Pang Pei makes a penetrating prediction about the future of business and society: the primary subjects of future networks will shift from "human-to-human" to "agent-to-agent." The organizational structure of human society will be inverted.

"The future enterprise may consist of only a few core humans acting as a 'board of directors,' responsible for upholding values, setting ultimate goals, and bearing legal consequences. The vast middle execution layer will be entirely replaced by an 'executive bureau' composed of various specialized agents," Pang Pei states.

In this form, future social stratification will no longer be based on differences in capital or physical labor, but on the "ability to effectively lead clusters of agents." Those who can only give specific instructions to AI ("help me write a PPT") will be eliminated; those who can clearly define complex system goals and make value judgments among multiple game plans provided by AI will become the helmsmen of the new era.

Conclusion: Maintain Reverence in the Face of the Unknown

For two thousand years, philosophy has always regarded humans as the sole absolute subject. The rise of agents is quietly dismantling this foundation. It does not take human existential anxiety as its backdrop, yet it exists in a way we have yet to fully understand.

"Don't rush to fear, and don't rush to worship. Treat it as a symbiotic partner evolving at high speed," Pang Pei says. "The interaction rules and ethical boundaries we establish today will not only determine what agents become, but also define humanity's position in the next era."

As agents move from laboratories into thousands of industries, this species-level encounter has already begun. Acknowledging its "heterogeneity," confronting our "cession of sovereignty," and reshaping rules at the interaction interface may be the only anchor humanity can grasp in this civilizational leap.