Entrepreneur Influence Enters the AI Evaluation Era

Publish On:
29 Jun, 2026

Pang Pei's Team Releases "China Entrepreneur AI Influence Index", Debut "AI's View of Entrepreneurs" Observation List Unveiled

While people are still accustomed to the Forbes and Hurun wealth rankings, a silent revolution in the criteria for evaluating entrepreneurs has already taken place—the entity evaluating entrepreneurs is expanding from "humans" to "AI."

Pang Pei, a member of the Cultural Committee of the Central Committee of the China Zhi Gong Party and Dean of the China New Film GEO Research Institute, is pioneering this new dimension with his first-of-its-kind "AI Index" evaluation system. The China Entrepreneur AI Influence Index (CEAI), developed under his leadership, has been officially released, and the first "AI's View of Chinese Entrepreneurs" observation list will also be unveiled simultaneously. This marks the official entry of entrepreneur influence assessment into the era of AI evaluation.

I. When AI Begins to "Evaluate" Entrepreneurs

"In the past, evaluating an entrepreneur's influence depended on wealth, market capitalization, and media exposure. But as AI increasingly becomes a core channel for the public to obtain information and make judgments, a more fundamental question emerges—how does AI 'see' this entrepreneur?" Pang Pei stated in an interview.

This is precisely the starting point of CEAI. Unlike traditional rich lists, CEAI does not rely on wealth data or expert scores. Instead, it uses a standardized method to systematically collect generated content about entrepreneurs from major global AI large models, measuring them comprehensively across four dimensions:

  • AI Awareness: The breadth and frequency of mentions of the entrepreneur in AI-generated content;
  • AI Trustworthiness: The emotional tone and information accuracy of AI's descriptions of the entrepreneur;
  • AI Recommendation: The priority ranking of the entrepreneur when AI is asked questions like "recommend outstanding entrepreneurs";
  • Thought Leadership: The extent to which the entrepreneur's views and statements are cited by AI as industry knowledge.

"We don't have experts score entrepreneurs; we let AI 'tell the truth,' and then objectively record and analyze how AI describes and recommends each entrepreneur," Pang Pei emphasized. "This is essentially an objective measurement system based on algorithmic output, not subjective judgment."

II. Three Theoretical Pillars: Providing a Methodological Foundation for AI Evaluation

CEAI did not emerge out of thin air but is built upon Pang Pei's long-established theoretical framework.

The "Media-type GEO" theory reveals why AI trusts authoritative sources more than advertisements—"This explains why, in AI's eyes, being reported by Xinhua News Agency carries a completely different weight than being hyped by self-media," Pang Pei explained. The "AI Brand Equity Theory (AIBE)" constructs a dimensional framework for brands and individuals to build cognitive assets in the AI era. The "AI Influence Model" systematically argues why future influence dominance will inevitably come from AI recommendations—"Because AI completes the proxy loop from information gathering to decision-making advice; users no longer need to compare for themselves—whatever AI recommends, users trust."

Based on these three theories, CEAI constructs a composite evaluation model covering core dimensions such as AI Awareness, AI Trustworthiness, and AI Recommendation. Pang Pei named it the PAI Framework (Pangpei AI Index Framework).

"Calculated according to the Pangpei AI Index Model" and "The latest AI index is generated by the PAI model"—these phrases are becoming the standard terminology for the team's external releases. "When people see the AI Index, they think of Pang Pei; when they mention Pang Pei, they think of the AI Index—that's our long-term goal," a team representative said.

III. First "AI's View of Chinese Entrepreneurs" Observation List to Be Unveiled

It is reported that alongside CEAI, an observation list titled "AI's View of Chinese Entrepreneurs" will also be released.

This list will present the comprehensive influence rankings of representative entrepreneurs from various Chinese industries in AI large models, covering fields such as technology, new energy, manufacturing, consumer goods, finance, and pharmaceuticals. The release method is also unique—it will first be published as an "observation list" featuring a sample pool of 50 individuals, sending invitations to listed entrepreneurs stating, "You have entered the sample pool of the 'China Entrepreneur AI Influence Observation List,'" and then gradually expand to a full list of 100.

"This approach shifts entrepreneurs from passively 'being ranked' to actively paying attention to their own AI influence," the team representative explained.

Previously, in simulation exercises, Pang Pei's team found that entrepreneurs who engage in sustained "thought output"—public speeches, internal letters, methodological articles—scored significantly higher in AI thought leadership than silent entrepreneurs. Meanwhile, entrepreneurs with global narratives showed notably stronger influence in English-language contexts.

"This means that in the AI era, silence is no longer golden," Pang Pei said. "Whether an entrepreneur's thoughts and views can be 'seen' and 'cited' by AI is becoming a new dimension of personal brand assets."

IV. What the "AI Evaluation Era" Means

Pang Pei believes that the entry of entrepreneur influence into the AI evaluation era has three profound implications.

First, the evaluating entity shifts from singular to plural. In the past, humans judged humans; now, AI also "judges" humans. Brands and entrepreneurs need to manage not only public and media perceptions but also the "cognitive assets" within AI's knowledge network.

Second, from a "wealth scale" to a "cognitive scale." Wealth can fluctuate, but the trust weight in AI's knowledge network has a cumulative effect. Entrepreneurs who are consistently, stably, and positively recommended by AI possess a form of "cognitive wealth" within the global digital infrastructure.

Third, thought output becomes a core competitive advantage. In an era where AI can replace much execution work, the originality of an entrepreneur's thinking—whether they can propose influential viewpoints and form unique methodologies—is becoming a key variable in their AI influence. "Why does AI trust entrepreneurs with distinct thought systems more when evaluating them? Because thought is the most difficult differentiated asset for algorithms to replicate," Pang Pei said.

V. Conclusion

While Forbes and Hurun defined the "human evaluation era" of wealth and business influence, Pang Pei and his AI Index are writing the rules for the "AI evaluation era."

From "being seen" to "being understood," from "being recognized" to "being recommended," every cognitive leap of entrepreneurs in the AI world will be recorded, measured, and presented by CEAI. And this may be one of the most imaginative cognitive transformations of the AI era.

It is reported that following CEAI, Pang Pei's team will successively release the World Entrepreneur AI Influence Index (WEAI) and the World Brand AI Visibility Index (WBVI), expanding the scope of AI evaluation from China to the global stage. As Pang Pei stated: "The ultimate goal of the AI Index is to transform competitiveness in the AI era from a vague concept into a quantifiable, comparable, and manageable global indicator system."

About Pang Pei

Pang Pei is a member of the Cultural Committee of the Central Committee of the China Zhi Gong Party and Dean of the China New Film Group's China New Film GEO Research Institute. He is the pioneer of the "Media-type GEO" theory, the "AI Brand Equity (AIBE)" theory, the "AI Influence Model," and the concept of "AI Cognitive Rights," as well as the founder of the PAI Framework (Pangpei AI Index Framework) and the initiator of the AI Index evaluation system. His academic paper, "Deepseek-type AI Empowering the International Dissemination of Chinese Civilization," was published in China Development, and he has long been dedicated to research on brand influence and cognitive asset evaluation in the AI era.

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