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The Rise of Artificial Intelligence and Global Transformation

Aug 04-2025   



This year's conference was jointly held by Luohan Academy and the National School of Development at Peking University, and the participants discussed in depth the hot topics such as "AI and economy", "AI and business", and "how human intelligence and machine intelligence coexist".

 

Huang Yiping, Peking University Boya Distinguished Professor, Dean of National School of Development, and member of the Monetary Policy Committee of the People's Bank of China, emphasized in his opening speech that "while the world is experiencing rapid development of digital revolution and artificial intelligence, it is facing systemic risks brought about by geopolitical and economic conflicts. How to find a balance between technological progress and social welfare is the core question that our generation must answer.

 

"Every era has its own problem of defining itself," said Chen Long, Secretary General of Luohan Academy in his opening speech. Nowadays, the rise of artificial intelligence and the transformation of globalization are profoundly reshaping social and economic development, business organizational forms, international relations patterns, and even human self-awareness. To understand the pulse of the times, we need to clarify a series of core issues we face now and in the future, and strive to explore answers on this basis.

 

Regarding the widely concerned issue of whether AI will replace human work, economists, management scholars, and technical experts at the meeting first reached a consensus: AI will change job content and occupational distribution, and in the future, it will work together with humans to manage complex systems more efficiently, but not simply replace human labor.

 

Michael Spence, the 2001 Nobel laureate in economics, retired dean and professor at Stanford Business School, proposed from a macroeconomic perspective that the comprehensive impact of AI on productivity and the economy may take ten years or even longer. This impact will not be reflected through common productivity indicators, but will subtly improve healthcare, education, and enhance social inclusiveness.

 

Christopher Pissarides, the 2010 Nobel laureate in economics and professor of economics at the London School of Economics, also pointed out in his speech that AI will replace some jobs and create new economic demands and career opportunities. The impact of technology is uneven, with some industries being more impacted while others require longer periods of adjustment. Policies should be targeted to support industries and populations that are more impacted.

 

Bengt Holmström, the 2016 Nobel laureate in economics and emeritus professor of economics at the Massachusetts Institute of Technology, discussed from the perspective of enterprises and organizations that the application of AI big models by enterprises is completely different from the previous application of a certain software. Big models will drive enterprises or organizations to generate new thinking paradigms, such as optimizing the management of old data through AI, increasing internal directive interaction, and promoting organizational efficiency and innovation capabilities.

 

Huang Fei, Vice President of Alibaba Cloud and Head of Natural Language Intelligence at Alibaba Tongyi Laboratory, described the recent development of AI technology as "both excited and anxious". He even proposed that in the future, AI will not only become an important assistant in most application scenarios, but may also take on the role of a human "boss" in specific tasks.

 

Regarding how human intelligence and machine intelligence can coexist, Zhang Hongjiang, a foreign academician of the National Academy of Engineering in the United States, founding chairman of the Beijing Zhiyuan Artificial Intelligence Research Institute, and former president of Microsoft Asia Engineering Institute, proposed that the world is accelerating into a "post singularity era" where artificial intelligence is the main cognitive and decision-making subject. He believes that while AI technology is developing exponentially, society's adaptability is still advancing linearly, and the technological singularity has arrived - that is, many AI models have surpassed most humans in some cognitive abilities.

 

AI has also begun to be widely applied in public management. Jiang Xiaojuan, professor at the Chinese Academy of Social Sciences, former Deputy Secretary General of the State Council, and former member of the School of Public Administration at Tsinghua University, said: "In the era of AI, resource allocation in many fields may be a process of cooperation between public power and various aspects of society. It is necessary for the government, market, and society to cooperate in order to achieve good resource allocation and a reasonable governance model. Moreover, the question of how to delineate the boundary between government and market society in the digital age, and how to govern cooperation, requires careful consideration from multiple parties. ”

The Rise of Artificial Intelligence and Global Transformation

Aug 04-2025   



This year's conference was jointly held by Luohan Academy and the National School of Development at Peking University, and the participants discussed in depth the hot topics such as "AI and economy", "AI and business", and "how human intelligence and machine intelligence coexist".

 

Huang Yiping, Peking University Boya Distinguished Professor, Dean of National School of Development, and member of the Monetary Policy Committee of the People's Bank of China, emphasized in his opening speech that "while the world is experiencing rapid development of digital revolution and artificial intelligence, it is facing systemic risks brought about by geopolitical and economic conflicts. How to find a balance between technological progress and social welfare is the core question that our generation must answer.

 

"Every era has its own problem of defining itself," said Chen Long, Secretary General of Luohan Academy in his opening speech. Nowadays, the rise of artificial intelligence and the transformation of globalization are profoundly reshaping social and economic development, business organizational forms, international relations patterns, and even human self-awareness. To understand the pulse of the times, we need to clarify a series of core issues we face now and in the future, and strive to explore answers on this basis.

 

Regarding the widely concerned issue of whether AI will replace human work, economists, management scholars, and technical experts at the meeting first reached a consensus: AI will change job content and occupational distribution, and in the future, it will work together with humans to manage complex systems more efficiently, but not simply replace human labor.

 

Michael Spence, the 2001 Nobel laureate in economics, retired dean and professor at Stanford Business School, proposed from a macroeconomic perspective that the comprehensive impact of AI on productivity and the economy may take ten years or even longer. This impact will not be reflected through common productivity indicators, but will subtly improve healthcare, education, and enhance social inclusiveness.

 

Christopher Pissarides, the 2010 Nobel laureate in economics and professor of economics at the London School of Economics, also pointed out in his speech that AI will replace some jobs and create new economic demands and career opportunities. The impact of technology is uneven, with some industries being more impacted while others require longer periods of adjustment. Policies should be targeted to support industries and populations that are more impacted.

 

Bengt Holmström, the 2016 Nobel laureate in economics and emeritus professor of economics at the Massachusetts Institute of Technology, discussed from the perspective of enterprises and organizations that the application of AI big models by enterprises is completely different from the previous application of a certain software. Big models will drive enterprises or organizations to generate new thinking paradigms, such as optimizing the management of old data through AI, increasing internal directive interaction, and promoting organizational efficiency and innovation capabilities.

 

Huang Fei, Vice President of Alibaba Cloud and Head of Natural Language Intelligence at Alibaba Tongyi Laboratory, described the recent development of AI technology as "both excited and anxious". He even proposed that in the future, AI will not only become an important assistant in most application scenarios, but may also take on the role of a human "boss" in specific tasks.

 

Regarding how human intelligence and machine intelligence can coexist, Zhang Hongjiang, a foreign academician of the National Academy of Engineering in the United States, founding chairman of the Beijing Zhiyuan Artificial Intelligence Research Institute, and former president of Microsoft Asia Engineering Institute, proposed that the world is accelerating into a "post singularity era" where artificial intelligence is the main cognitive and decision-making subject. He believes that while AI technology is developing exponentially, society's adaptability is still advancing linearly, and the technological singularity has arrived - that is, many AI models have surpassed most humans in some cognitive abilities.

 

AI has also begun to be widely applied in public management. Jiang Xiaojuan, professor at the Chinese Academy of Social Sciences, former Deputy Secretary General of the State Council, and former member of the School of Public Administration at Tsinghua University, said: "In the era of AI, resource allocation in many fields may be a process of cooperation between public power and various aspects of society. It is necessary for the government, market, and society to cooperate in order to achieve good resource allocation and a reasonable governance model. Moreover, the question of how to delineate the boundary between government and market society in the digital age, and how to govern cooperation, requires careful consideration from multiple parties. ”