Author Yu Zheng

1、 The collapse is a hypothesis that has never been examined before

In the previous introduction, it was already explained that in the economic system, only people make decisions. The question to be asked here is: how did it collapse and to what extent did it collapse.

Every fundamental change in economic form begins with the collapse of an old assumption. The collapse of the steam engine era is that 'human and animal power are the only sources of power'. The collapse of the power era is that 'production must be geographically bound to power sources'. The collapse of the information age is that knowledge can only be disseminated through interpersonal communication. And what collapsed today is something even more fundamental:The only intelligent agent of economic activity can only be humans.

This assumption has never been examined as a 'hypothesis' before. From Smith to Keynes, from Marx to Hayek, no matter how divergent they may be, all schools of thought share a silent foundation - only one intelligence is making decisions, creating value, and driving growth. The history of hundreds of years of economic thought can be collectively referred to as carbon based economics today.

But currently, there are cracks in this foundation that cannot be repaired. When a system can deeply embed itself in every aspect of the economic system, independently make investment decisions, autonomously execute business negotiations, and continuously optimize the supply chain - it is no longer an exogenous "technological shock" variable, but an endogenous economic entity. Using 'human economics' to understand the world is like using geocentric theory to explain planetary motion: data may still suffice, but theory is no longer sufficient.

2、 The Three Hard Constraints of the Old Paradigm

The achievements of carbon based economics are self-evident, but today it is simultaneously locked in by three hard constraints.

Labor force contraction. Multiple major economies have shown a trend of shrinking working age populations, and labor input in traditional growth models continues to be under pressure. It is difficult to maintain historical growth rates solely through capital deepening and technological progress.

Irreversible scarcity of resources and environment. Carbon based economics excels at using prices to regulate scarcity, but cannot deal with the problem of "running out and running out" - key grades decline, climate tipping points approach, and prices cannot recover no matter how high they are. The most proud aspect of the price mechanism is that it fails precisely when it is most needed.

Innovation approaches the cognitive bandwidth ceiling. The model of relying on the human brain for high-intensity exhaustive innovation is reaching its peak. The three constraints collectively point to one conclusion: relying solely on carbon based intelligence to drive growth has come to an end.

These three are not pessimism, they are facts. It indicates that the prerequisites of the old framework are physically becoming thinner.

3、 Three identity transitions in silicon-based materials

Silicon based technology has entered the economic system and undergone three identity switches - without the need for calendar annotations, only observing the substantial changes in its relationship with people:

Phase 1: From tools to assistants. Output belongs to the user and is classified as a residual term in total factor productivity in economics - something that cannot be calculated is thrown into the residual. At this point, it doesn't have an independent objective function, it just amplifies your hands and feet.

Phase 2: From assistant to collaborator. It can generate solutions and provide suggestions, and the joint output of humans and it cannot be simply attributed to any one party. The question of 'who did this job' is starting to be difficult to answer. The first crack in the old property rights framework appears here.

The third stage: from collaborator to autonomous subject. It begins to independently execute negotiations, scheduling, and system optimization, with its own objective function within the boundaries set by humans. Fatigue free, memory can be infinitely extended, and decision cycles do not depend on biological rhythms - these characteristics determine that it can no longer be used as a "tool" to fit into the residual terms of the old framework.

4、 Why is pure silicon-based economics also not valid

A fair statement must be made here: pure carbon based materials fail, and pure silicon based materials do not hold either.

The reason is not in technology, but in the logical law - silicon-based intelligence cannot generate its own purpose and meaning. It can optimize any given goal, but cannot answer 'what should be optimized'; Can efficiently execute 'how to do' but remain silent on 'why to do'. Meaning only exists in carbon based perception: hunger, loneliness, longing for fairness, and awe of beauty are the ultimate sources of 'value'. If the ultimate goal of the economic system is not to improve the carbon based experience, then all computing power expansion is just a rearrangement of physical particles, meaningless.

Therefore, the correct relationship between carbon based and silicon-based is not substitution, but nesting and symbiosis.

5、 The cognitive difference between two types of intelligence - the difference is the source of value

The biological heritage of carbon based intelligence. Bounded rationality is not a defect, but an efficiency strategy of biological evolution - pursuing "satisfactory solutions" rather than exhaustive optimality. Emotions are its navigation system: fear avoids risks, greed drives exploration, and empathy promotes cooperation. A brain without emotions cannot make any decisions. Cross disciplinary association, empathy, and moral intuition - these three things that silicon-based technology still cannot truly possess.

The electronic characteristics of silicon-based intelligence. Exhaustive optimization, zero fatigue, and unexplainability. Its reasoning path is the entanglement of massive parameters, and humans cannot trace the complete chain behind the output. The economic advantages are threefold: speed (millisecond level decision cycle), scale (simultaneously processing multimodal massive information), and accuracy (systematically surpassing humans in pattern recognition).

Key point: Differences are not theoretical classifications, but direct sources of economic value. If the two abilities are completely identical, there is only substitutability and no complementarity. Because carbon based is good at leapfrog creation and moral judgment, silicon-based is good at systematic exhaustive and scale execution - carbon based answers "where to go", silicon-based answers "how to reach it the fastest". The correct direction and fastest speed are the economic rewards of symbiosis.

6、 The Three Meanings of Symbiosis

Symbiosis "is not a vague vision, it has three specific meanings.

Nesting: Irreversible deep embedding. The cost of forcibly removing it is extremely high, equivalent to having a person who has already been fitted with a prosthetic limb readjust to losing it.

Dependency: A bidirectional survival condition. Carbon based materials lose competitiveness when leaving silicon-based materials; Silicon based loses its meaning anchor point without carbon based - without human goals, AI optimization is a random walk without direction. Any one-sided narrative is an illusion.

Bi directional reshaping: co evolution. Carbon based is changing cognitive habits to adapt to silicon-based; Silicon based is adjusting its output format and constraints to adapt to carbon based. Both are being changed by each other.

These three layers indicate that carbon silicon symbiosis is not rhetoric, but a precise description of the fact that it has already occurred and is accelerating its evolution.

7、 Reconstruction of Basic Economic Assumptions

In the old discourse, AI and humans are in a substitutional relationship - use whoever is cheaper. But reality has proven that substitution is only a small part of the story, and what is more common is complementarity and collaboration.

The shift in discourse may sound mild, but it actually affects the whole picture: it changes the fundamental question of economics from 'how to replace humans with machines' to' how to make two types of intelligence collaborate to create greater value '.

The economics of carbon silicon symbiosis requires the reconstruction of three basic assumptions:

Firstly, the uniqueness of intelligent agents is broken. Economic models must acknowledge the coexistence of multiple intelligences, and the assumption of a single agent is no longer valid.

Secondly, the source of value creation has expanded from single labor to joint output. The value is generated jointly by carbon based judgment and silicon-based optimization, and the property rights framework must be expanded accordingly.

Thirdly, the time scale has expanded from a single human rhythm to a dual time scale. Carbon based is measured in days, while silicon based is measured in milliseconds - if macro policies only focus on the rhythm of one side, they will miss the true fluctuations of the other.

8、 Three core propositions and four admission criteria

The core proposition of this book is condensed into three points:

Symbiosis rather than substitution——Carbon based and silicon-based materials are mutually conditional and boundary bound.

Interface rather than barriers——Differences are managed and translated through "interfaces", which include exchange protocols, friction buffering, and arbitration institutions.

Carbon based well-being as the ultimate goal——All improvements in silicon-based efficiency must be ultimately validated by verifiable improvements in carbon based experiences.

But paradigm shift cannot rely solely on declarations. It needs to meet four admission criteria in order to be called a "new paradigm" rather than a patched version of the old framework:

1Subject Diversity——Does the model recognize that non-human entities have independent objective functions and action capabilities;

IIValue Unity——Can the measurement framework identify the respective contributions of carbon based judgment and silicon-based optimization;

IIIProperty rights can be confirmed——Can joint output be broken down into three levels of ownership: algorithm rights, data contribution, and generation participation;

4Final Verifiability——Can the efficiency improvement correspond to measurable improvements in carbon based experiences, rather than just corresponding to computing power figures.

These four are not only the methodological threshold of this analytical framework, but also the touchstone for evaluating all "AI+economics" research.

Conclusion

Carbon based economics is a great theoretical legacy. But the correct use of inheritance is not to offer, but to stand on top and build a new layer.

How do we get up from that level? First, we need to figure out where the two types of intelligence differ in cognition - that's the next topic.