The general-purpose large model is a model that can provide universal and fundamental artificial intelligence (AI) capabilities, and can be applied to multiple fields and industries as a base model. Its development accelerates the arrival of the era of general AI. The application of various large model products and services is more accessible and tolerant, profoundly changing the production and life style of the economy and society. However, with the continuous expansion of the application scenarios of the large model, the market competition pattern is also changing. Focusing on the current competitive situation in the AI general-purpose large model market, it presents a coexistence of low-level competition and structural monopoly. The competitive advantage of data-driven ecosystems is rapidly transmitted to the competition process of iterative upgrading of AI algorithms supported by big data, and is forming a competitive market structure of AI ecosystems with large models as the core. The competition at different levels of the industrial chain formed in the competition of the large model industry ecosystem is causing certain risks of damage, and the competition process also has the risk of pre- and mid-intervention of industrial regulation and regulatory failure coexisting. Therefore, for the competition governance of the general-purpose large model market, it is necessary to adhere to the principle of prudence and inclusiveness, make full use of existing market competition governance mechanisms and tools, scientifically set up anti-monopoly pre-regulation measures with prevention as the main focus, grasp the reasonable boundary and positive interaction between anti-monopoly regulation and industry regulation, handle the coordination between competition policies and industrial policies, optimize the domestic and international dual circulation environment, and upgrade governance concepts, structures, and methods that are in line with the characteristics of general-purpose large model market competition. As a result, we will improve the competition governance ecology of the general-purpose large model market with innovation as the main line and safety as the bottom line, which can coordinate innovation and competition, and balance efficiency and fairness, and promote the healthy and orderly development of the AI general-purpose large model industry.

Journal of Shanghai University of Finance and Economics
LiuYuanchun, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
GuoChanglin YanJinqiang WangWenbin WuWenfang, Vice Editor-in-Chief
Exploration of the Market Competition Governance Architecture for AI General-purpose Large Models
Journal of Shanghai University of Finance and Economics Vol. 27, Issue 03, pp. 124 - 137 (2025) DOI:10.16538/j.cnki.jsufe.2025.03.009
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Chen Bing, Dong Siyan. Exploration of the Market Competition Governance Architecture for AI General-purpose Large Models[J]. Journal of Shanghai University of Finance and Economics, 2025, 27(3): 124-137.
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