Human Pioneers
NEWS AGENCY

While the world is still debating how AI is transforming marketing, optimizing search, and improving efficiency, a Chinese scholar has quietly completed a more ambitious theoretical project—establishing a comprehensive theoretical framework for restructuring global competitiveness in the AI era, spanning from micro to macro, from brands to nations, and from peaceful competition to security confrontation.

Recently, Pang Pei, founder of the Pang Pei Index, member of the Cultural Committee of the Central Committee of the China Zhi Gong Party, and president of the China New Vision GEO Research Institute, published his latest academic work, "AI Cognitive Competition Theory: Restructuring Global Competitiveness in the Generative AI Era—A Theoretical Framework from Resource Competition to Cognitive Competition." For the first time, he integrates four previously proposed core theories into a unified overarching framework, completing a panoramic theoretical construction from corporate brand building to national cognitive sovereignty, and from commercial competitiveness to national security defense.

"These are not four independent theories but a complete logical chain," Pang Pei said in an interview. "Together, they address a defining question of our time: When AI becomes the core gatekeeper of information distribution, how is the mechanism for generating global competitiveness changing? The mission of this theoretical system is to provide a complete analytical framework for understanding, measuring, and building competitiveness in the AI era."

I. Five Progressive Stages: A Complete Theoretical Chain

Pang Pei summarizes the internal logic of this theoretical system into five progressive questions, each answered by one theory, forming a closed loop from start to finish.

Stage 1: How to Enter AI's Knowledge Network? — Media GEO Theory (2025)

This is the logical starting point of the entire theoretical system, addressing the technical mechanism of "why AI recommends certain information over others." Pang Pei discovered that the retrieval-augmented generation architecture of AI large models prioritizes authoritative sources with institutional trust—national media, government official websites, peer-reviewed academic journals—rather than commercial advertisements or brand self-descriptions. This finding reveals the underlying technical logic of competitiveness generation in the AI era: In the search era, brands gained traffic through keyword optimization and paid rankings; in the AI era, brands earn recommendations through authoritative source endorsement and structured content construction. The competition rule shifts from "highest bidder wins" to "highest trust wins."

"Media GEO is the practical foundation of the entire theoretical system," Pang Pei said. "If AI cognitive competition is a building, Media GEO is its blueprint—it answers 'how to enter AI's trust circle.'"

Stage 2: How Do Brands Build Cognitive Assets in the AI Era? — AI Brand Equity Theory (AIBE) (2025)

After solving the "how to enter" problem, the second question naturally arises: What exactly do brands accumulate in AI's knowledge network? Pang Pei's answer is AI brand equity. He proposes that the domain of brand equity is expanding from "consumer mindset" to "AI model knowledge network." Brands need to build assets in two domains simultaneously: establishing cognition, association, and loyalty in consumer minds, and building visibility, trust, and recommendation frequency in AI knowledge networks. Together, these form the complete picture of brand equity in the AI era.

"AIBE answers what brands accumulate after entering AI's knowledge network," Pang Pei said. "It completes the paradigm extension of brand equity theory in the AI era."

Stage 3: Why Does AI Recommend? — AI Influence Model (2026)

From "how to enter" to "what to accumulate," the logic naturally extends to "why AI recommendations replace traditional influence." In the AI Influence Model, Pang Pei identifies three dominant logics: Answer Monopoly—AI completes the proxy loop from information aggregation to decision-making advice; Trust Agency—AI transfers trust from brand self-certification to algorithmic endorsement by citing authoritative sources; Zero-Click Distribution—AI citation frequency replaces click-through rates as the new standard for traffic allocation.

"The AI Influence Model explains the mechanism of cognitive competition," Pang Pei said. "It demonstrates why future influence dominance will inevitably come from AI recommendations and the commercial and social consequences of this shift."

Stage 4: Why Should Nations and Cities Compete for AI Recommendation Rights? — AI Cognitive Sovereignty Theory (2026)

When the unit of analysis upgrades from brands to nations and cities, a more overarching concept emerges—cognitive sovereignty. Pang Pei proposes that above data sovereignty and computing power sovereignty, there exists a higher-level competitive dimension: a nation or city's right to define, interpret, and recommend its regional history, culture, industrial advantages, and values within mainstream AI large models. Losing cognitive sovereignty means being marginalized, misrepresented, or even replaced on AI's cognitive map.

"AI Cognitive Sovereignty Theory elevates the focus of the entire system from enterprises to nations and cities," Pang Pei said. "It warns of the strategic risks of 'cognitive colonization' and 'cultural entropy' and raises the strategic proposition of cognitive security."

Stage 5: How to Systematically Understand Global Competitiveness Restructuring in the AI Era? — AI Cognitive Competition Theory (This Paper)

Integrating the above four theories, Pang Pei formally proposes AI Cognitive Competition Theory as the unified overarching framework. This theory systematically constructs five core mechanisms of cognitive competition—Cognitive Agent Monopoly, Cognitive Agent Weaponization, Trust Agency Transfer, Cognitive Flywheel Effect, and Cognitive Lock-in Risk—and introduces "Cognitive Productivity" and "Cognitive GDP" as core indicators for measuring cognitive competition outcomes.

"AI Cognitive Competition Theory is the top-level framework of the entire theoretical chain," Pang Pei said. "It answers a fundamental question: What is competition essentially about in the AI era? The answer is cognitive competition—a systematic game where an entity gains the right to define, interpret, trust, and prioritize recommendations within AI's knowledge network. The industrial era competed over resources, the internet era over traffic, and the AI era over cognition."

II. From Commerce to Security: Complete Coverage of the Theoretical System

Pang Pei particularly emphasizes that a key feature of this theoretical system is its completeness in coverage—from commercial competitiveness building at the brand level, to cognitive sovereignty maintenance at the national level, to cognitive warfare defense at the security level—forming a complete academic system spanning "competition-confrontation," "peace-conflict," and "commerce-security."

"Media GEO and AIBE address commercial-level issues—how brands build cognitive assets in the AI era. The AI Influence Model bridges commerce and communication—how AI recommendations become the new dominant logic of influence. AI Cognitive Sovereignty Theory elevates the unit of analysis to nations and cities—how cognition becomes a new strategic resource. AI Cognitive Competition Theory integrates all of this and introduces the defense dimension of cognitive warfare—how nations defend and counter when cognitive agents are weaponized."

In Pang Pei's view, the significance of this completeness lies in making AI Cognitive Competition Theory not just an academic work on commercial competitiveness in the AI era, but a complete theoretical system covering commercial competition, national competition, and security confrontation. "Internationally, the Hudson Institute's research on cognitive warfare ontology, NATO's cognitive warfare reports, and RAND Corporation's cognitive competition analyses all explore AI's impact on cognition from a security perspective. Pang Pei's AI cognitive theory system engages in cross-regional academic dialogue with these international frontier studies while filling gaps in commercial and urban competition dimensions."

III. From Theory to Practice: Quantitative Support from the Pang Pei Index

The complete construction of the theoretical system provides a solid academic foundation for the Pang Pei Index.

"The Pang Pei Index did not emerge out of thin air; it is a natural product of the entire theoretical chain," Pang Pei said. "If Media GEO is the blueprint, AIBE is the asset framework, the AI Influence Model is the operating mechanism, AI Cognitive Sovereignty is the strategic goal, and AI Cognitive Competition is the top-level design—then the Pang Pei Index is the measurement system of the entire framework."

Currently, based on the PAI framework, the Pang Pei Index has released seven indices covering five major areas: entrepreneurs, brands, industries, cities, and governance, forming a complete evaluation matrix from China to the world. The Pang Pei Index·China Brand AI Visibility Index (CBVI) and World Brand AI Visibility Index (WBVI) cover the brand dimension; the Pang Pei Index·China Entrepreneur AI Influence Index (CEAI) and World Entrepreneur AI Influence Index (WEAI) cover the entrepreneur dimension; the Pang Pei Index·China Industry AI Influence Index (CIII) covers the industry dimension; the Pang Pei Index·World AI City Competitiveness Index (WACI) covers the city dimension; and the Pang Pei Index·World AI Governance Index (WAIG) covers the governance dimension.

"Each Pang Pei Index is an application of the theoretical system in a specific dimension," Pang Pei said. "They transform 'AI cognitive competitiveness' from an academic concept into a set of visible, measurable, and trackable data."

IV. Dialogue with International Academic Frontiers

The construction of Pang Pei's AI cognitive theory system also engages in multi-level dialogue with international academic frontiers.

At the level of competition theory, Porter's national competitive advantage theory focuses on resource endowment competition in the industrial age, the attention economy theory explains traffic competition in the internet era, and the AI cognitive competition theory formally proposes "cognitive competition" as the third competitive paradigm, enriching the evolution of competition theory paradigms. At the level of digital sovereignty, scholars such as Floridi focus on data sovereignty and computing power sovereignty, while the AI cognitive sovereignty theory advances analysis to "cognitive sovereignty"—the "crown jewel" of the digital sovereignty system. In the field of security research, the Hudson Institute and NATO's cognitive warfare research emphasize "confrontation forms," while the AI cognitive competition theory supplements the "competition paradigm" analysis, with the combination of the two forming a complete analytical framework for cognitive competition.

"The unique value of this theoretical system lies in its cross-disciplinary nature, spanning multiple fields such as economics, communication studies, political science, and military science," said Pang Pei. "It does not view AI from the perspective of a single discipline but starts from the core concept of 'competitiveness,' revealing the generation mechanisms and restructuring logic of competitiveness in the AI era from multiple dimensions."

V. Conclusion

From media-based GEO to AI brand equity, from the AI influence model to AI cognitive sovereignty, from AI cognitive competition to the Pang Pei Index—this progressive theoretical chain constitutes a complete academic framework for competitiveness research in the AI era.

"Every era needs its own theory of competitiveness. The industrial age had Porter's competition theory, the internet age had the attention economy theory, and the AI age requires the cognitive competition theory," said Pang Pei. "The mission of the Pang Pei AI cognitive theory system is to provide systematic analytical tools, measurement benchmarks, and construction guidelines for this upcoming era of cognitive competition."

Each extension of this theoretical chain responds to the same core proposition: When AI becomes the core gatekeeper of information distribution, whoever defines AI's cognition holds the power to interpret the world. And the Pang Pei Index is precisely a public, transparent, and verifiable yardstick for this new dimension of competition.