Abstract
On February 22, 2026, Citrini Research published “The 2028 Global Intelligence Crisis.” Depicting a hypothetical June 2028 scenario of AI-driven white-collar mass unemployment, consumption chain collapse, and a 38% S&P 500 decline, the report triggered a global market panic the following day—the Dow fell over 800 points, IBM dropped approximately 13%, and the report garnered roughly 16 million views on X.
However, five days before the Citrini report—on February 17, 2026—the author of this paper independently arrived at the same economic diagnosis through dialogue with Claude Opus 4.6, and moreover proposed a complete solution framework: the Fourth Industry (the Cognitive Industry).
- (1) Internet-era tech companies are information intermediaries, not productivity enhancers—they are appendages of capital.
- (2) AI destroys information monopolies but simultaneously becomes the largest information consumer in human history.
- (3) AI’s structural dependence on real-world high-entropy data is guaranteed by the Second Law of Thermodynamics and cannot be replaced by synthetic data.
- (4) The human-AI relationship is extracorporeal symbiosis—analogous to the relationship between mitochondria and eukaryotic cells.
- (5) The Fourth Industry (Cognitive Industry) is the marketized operating system of this symbiotic relationship.
Timeline: From Diagnosis to Symbiosis
The Truth of the Internet Era: Information Brokerage, Not Productivity Revolution
We must re-examine the essence of what has been called the “technology revolution” of the past two decades. Google, Facebook, Amazon, ByteDance, Uber, Airbnb—the core business of these “technology companies” is fundamentally information brokerage. They have not altered a single atom in the physical world. They built no better engines, invented no new materials, improved no energy output per kilowatt, increased no crop yield per hectare.
What they did was add an information dispatch layer on top of the existing physical world and collect tolls. This is why they are essentially appendages of capital—the information dispatch layer itself creates no physical value, can only compete through scale, and scale requires capital injection.
→
Acquire Users
→
Traffic
→
Advertising
→
Profit
→
Burn More Capital
↺
Mechanism and Termination of the Information-Capital Dictatorship
What actually happened over the past two decades was a movement to privatize information. Google privatized the distribution channel for search results, Facebook for social relationships, Amazon for product information, ByteDance for attention allocation. The information itself was not created by them—it was created by users, merchants, and content producers—but the distribution channels were privatized.
3.1 AI’s Termination Mechanism
AI is demolishing the toll booths. When every individual has an AI assistant capable of directly gathering, synthesizing, and analyzing information from the entire web, search-entry monopolies become meaningless. When AI agents directly handle price comparison, ordering, and negotiation, product information monopolies become meaningless.
3.2 Public-Domain AI and Private-Domain AI
Public-Domain AI ensures that information distribution infrastructure is no longer privately monopolized. Private-Domain AI ensures that information producers’ labor receives fair pricing and compensation. Only the coexistence of both constitutes a healthy structure.
The Reversal of Power: From Capital-Led to Technology-Led
→
Capital-Led
→
Info-Channel-Led
→
Technology-Led
4.1 Capital Loses Its Operating System
What AI destroys is what capital depended on most—the human middle class of the information industry. Lawyers, accountants, analysts, programmers, financial professionals—they were the infrastructure of capital’s operations. When AI removes this layer, capital loses its operating system. Whoever controls technology controls capital’s operating system. Capital is demoted from master to fuel.
4.2 The True Meaning of Technology: Physical-World Resistance Capability
“Technology” does not mean coding ability or AI expertise—those are information-layer skills that AI itself can perform. True technology is the ability to produce high-friction-coefficient information by confronting uncertainty in the physical world. Rocket manufacturing, surgical execution, deep-sea operations, growing crops in saline soil.
The AI Paradox: Monopoly Destroyer and Greatest Consumer
AI demolishes the toll booths of existing information monopolists, but AI itself is far hungrier than those monopolists ever were. Google only needed to index web pages, and Facebook only needed to capture user behavior—shallow, structured demands. Large AI models require deep, high-dimensional, physically noisy real-world data, and their appetite is bottomless.
5.1 The Thermodynamic Trap of Synthetic Data
When AI is cut off from continuous high-entropy information from the physical world, it consumes its own output, leading to model collapse.
5.2 Supply-Demand Structure: Exponential Demand vs. Linear Supply
AI’s information consumption scales exponentially with model size, but physical-world information production is constrained linearly by the laws of physics. Humans have 24 hours per day, factories have limited annual operating hours, laboratories run one experiment at a time, submarines take one measurement at a time.
→ Supply-demand gap = Profit space of the Fourth Industry (Cognitive Industry)
Extracorporeal Symbiont: The Biological Relationship Between Humanity and AI
6.1 Humans Were Always Symbionts
The human body contains approximately 37 trillion human cells, but harbors approximately 38 trillion microorganisms—more than the human’s own cells. Mitochondria possess their own independent DNA; they are essentially aerobic bacteria engulfed two billion years ago. Archaea provided the physical environment and raw materials; aerobic bacteria (mitochondria) provided energy conversion capability. Neither could survive effectively alone; together they became the foundation of all complex life on Earth.
6.2 AI Is an Extracorporeal Symbiont
All previous symbionts existed inside the body—mitochondria within cells, microbiota within the gut. AI is the first extracorporeal symbiont in human evolutionary history. It does not reside within the human body, yet it processes human information, extends cognition, and helps confront the complexity of the physical world.
AI without humans: data supply exhaustion, model collapse, a closed system monologuing inside servers.
Both are incomplete. Only together do they form a complete cognitive organism.
6.3 The Definition of Symbiosis
Symbiosis is not equality, not charity, not compassion. Symbiosis is a relationship in which both parties each possess irreplaceable resources that the other cannot produce, and exchange is the only rational choice.
AI symbiosis: Humans (physical-world high-entropy data) + AI (information processing capability) = Cognitive organism
Fourth Industry (Cognitive Industry) = Substitute for the cell membrane—the interface enabling normal circulation of nutrients (data and computing) between symbiotic partners
The Fourth Industry: Market Design of the Symbiotic Interface
7.1 A New Principle of Wealth Distribution
In the Cognitive Industry, those who produce more, more effective, and higher physical-friction-coefficient information receive a greater share of wealth distribution. The data of a welding engineer working at 3,000 meters below sea level is worth more than a Wall Street analyst’s report. A surgeon’s rare-complication decision-making process is worth more than an internet product manager’s user growth plan.
7.2 The Commoditization of Information
| Information Type | Physical Friction Coefficient | Price Range |
|---|---|---|
| AI-generated text | ≈ 0 | ≈ 0 |
| Home daily footage | Low | Low |
| Street environment data | Medium-Low | Medium-Low |
| Office decision-making processes | Medium | Medium |
| Factory floor operational data | Medium-High | Medium-High |
| Operating room decision-making | High | High |
| Deep-sea / extreme environment exploration | Extreme | Extreme |
7.3 Market Mechanism Design
Positioning Against the Citrini Report
| Dimension | Citrini Report | This Paper |
|---|---|---|
| Date | February 22, 2026 | February 17, 2026 (5 days prior) |
| Diagnosis | Intelligence Substitution Spiral, Ghost GDP | Economic severance, Capital Dam |
| Solution | None (vague “repricing” only) | Complete Fourth Industry framework |
| Physics basis | None | Landauer Principle, Physical Friction Coefficient, Second Law of Thermodynamics |
| Biology framework | None | Extracorporeal symbiont, mitochondria analogy |
| Power structure analysis | None | Technology supersedes capital as the leading force |
| Market design | None | Submit-first-pay-later, one-bride-many-grooms, 4D pricing, public/private-domain AI |
| Disciplinary scope | Macroeconomics, finance | Thermodynamics, biology, neuroscience, geopolitics, economics, CS, education, political economy |
The Trans-Scale Unified Framework
| Scale | Open System | High-Entropy Input Source | Symbiotic Form |
|---|---|---|---|
| Cell | Eukaryotic cell | Oxygen and organic matter | Mitochondrial symbiosis |
| Organism | Human body | Food, microbial metabolites | Gut microbiome symbiosis |
| Cognition | Human brain | Sensory input, physical interaction | Brain-body symbiosis |
| Computing | Large AI model | Real-world high-entropy data | AI-human symbiosis |
| Economy | National economic cycle | Consumer spending | Production-consumption symbiosis |
| Civilization | Human civilization | Knowledge from physical-world confrontation | Fourth Industry (Cognitive Industry) |
This structure holds at every scale. Unlike pure economic analysis, which is valid only at the single scale of economics, this framework originates in thermodynamics and is upward-compatible across all scales—because the Second Law of Thermodynamics is a ground-floor law of physics that no discipline can violate.
Conclusion
- First, the “technology revolution” of the Internet era was a capital revolution disguised as a technology revolution. Information technology companies are information intermediaries, not productivity enhancers; they are appendages of capital.
- Second, AI terminates the information-capital dictatorship. AI destroys the private monopoly over information distribution channels, rendering the business model of “information and capital extracting value from the world” physically unsustainable.
- Third, AI simultaneously becomes the largest information consumer in human history. AI’s structural dependence on real-world high-entropy data is guaranteed by the Second Law of Thermodynamics and cannot be replaced by synthetic data.
- Fourth, the power structure reverses from capital-led to technology-led. The true meaning of technology is physical-world resistance capability—information produced through effective physical friction.
- Fifth, the human-AI relationship is extracorporeal symbiosis. Humans possess high-entropy physical-world data that AI cannot self-produce; AI possesses information processing capability that the human biological brain cannot match.
- Sixth, the Fourth Industry (Cognitive Industry) is the marketized operating system of this symbiotic relationship. Information becomes a commodity priced by its physical friction coefficient.
- Seventh, symbiosis is the only viable long-term survival strategy for open systems under the Second Law of Thermodynamics. This principle holds at every scale—cell, organism, cognition, computing, economy, and civilization.
References
- Citrini Research (2026). “The 2028 Global Intelligence Crisis.” CitriniResearch Macro Memo, February 22, 2026.
- Davies, P. (2019). The Demon in the Machine. London: Allen Lane.
- Landauer, R. (1961). “Irreversibility and Heat Generation in the Computing Process.” IBM J. Res. Dev., 5(3), 183–191.
- Bennett, C.H. (1982). “The Thermodynamics of Computation.” Int. J. Theor. Phys., 21(12), 905–940.
- Bérut, A. et al. (2012). “Experimental verification of Landauer’s erasure principle.” Nature, 483, 187–189.
- Shumailov, I. et al. (2024). “AI models collapse when trained on recursively generated data.” Nature, 631, 755–759.
- Shannon, C.E. (1948). “A Mathematical Theory of Communication.” Bell Syst. Tech. J., 27(3), 379–423.
- Szilard, L. (1929). “On the decrease of entropy.” Z. Physik, 53, 840–856.
- Margulis, L. (1967). “On the origin of mitosing cells.” J. Theor. Biol., 14(3), 225–274.
- Sender, R. et al. (2016). “Revised estimates for human and bacteria cells.” Cell, 164(3), 337–340.
- IEA (2025). Energy and AI. Paris.
- Gartner (2025). “Data Center Energy to Double by 2030.” Press Release.
- LEECHO & Claude Opus 4.6 (2026). “The Fourth Industry—Cognitive Economy.” 2026.02.17.
- LEECHO & Claude Opus 4.6 (2026). “Three Paradigms of Human Scientific Cognition.” 2026.02.19.
- LEECHO & Claude Opus 4.6 (2026). “The Information-Physics Coupling Era.” 2026.02.21.