The rapidly developed Artificial intelligence (AI) industry relies on data resources and is often controlled by some tech giants. Although the organizational monopoly in the AI industry is more efficient in text and image generation and transmission in a vast and generative digital market, it still has some problems. The monopoly will cause the issues, such as data and computing resources central control, unequal competition, user discrimination, and so on. This paper will conduct research on these monopoly problems, which not only make a pavement for further research on the academic field of AI but also provide more theoretical evidence for the solutions in regulating AI development in the future. The qualitative analysis will be used, and monopoly issues will be explored with the three aspects, including data monopoly, platform monopoly, and user monopoly, which will reflect the negative impacts of the monopoly in the competition of the AI industry and provide more available solutions for the issues. Especially in the new emerging AI industry, this research has practical significance for guiding an anti-monopoly competition market and maximizing the utilization and fair distribution of data and computing resources.
Bingding Wang (Thu,) studied this question.
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