The data monopoly of artificial intelligence raises new practical problems for anti-monopoly theory  In other words, the theoretical innovation of the anti-monopoly law is a realistic practical demand  Specifically, the theoretical innovation needs of the anti-monopoly law mainly include the following Aspects: First, bilateral market theory  Corresponding to unilateral markets, the bilateral market theory proposed by economists can provide useful ideas for anti-monopoly law enforcement in multilateral data markets  The current bilateral market theory requires attention on the one hand Practical trends will further improve the theory itself  On the other hand, it is necessary to explore how the bilateral market theory can be transformed into applicable anti-monopoly laws and regulations  Second, the relevant market theory
Artificial intelligence data anti-monopoly needs to be explored separately to define the data market The necessity and feasibility of the market, we also need to face up to the inability of traditional relevant market definition tools in the data market, and then actively explore alternative analysis tools
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