The data monopoly of artificial intelligence raises new practical problems for antitrust theory. In other words, the theoretical innovation of antitrust law is a real practical requirement. Specifically, the theoretical innovation needs of antitrust law mainly include the following: Aspect: First, the bilateral market theory. Corresponding to the unilateral market, the bilateral market theory proposed by economists can provide useful ideas for antitrust enforcement in multilateral data markets. The current bilateral market theory requires attention on the one hand Practice trends further improve the theory itself. On the other hand, we need to explore how bilateral market theory can be translated into applicable antitrust laws and regulations. Second, relevant market theory. Data antitrust of artificial intelligence needs to explore the definition of a "data market" separately. Necessity and feasibility, we also need to face the inability of traditional related market definition tools in the data market, and then actively explore alternative analytical tools. The next most likely thing is the data monopoly:. ['Legal origin.', 'Law enforcement issues.', 'Legislative issues.', 'Legal definition.']