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Companies in charge of mergers and acquisitions (M&A), relying solely on a large number of manual calculations to analyze mergers and acquisitions has become a history, data analysis has completely changed the way mergers and acquisitions, artificial intelligence analysis to a new level. Make decisions smarter and faster throughout the life cycle. Artificial intelligence comes with its own risks as well as convenience. This paper uses case study to describe how AI is used in mergers and acquisitions, and how AI can facilitate mergers and acquisitions to the next level, and analyzes the pros and cons. This paper believes that artificial intelligence should be constrained by perfecting legal structure and meticulous legal provisions, so that its convenience can be maximized and its own information security can be fully maintained.
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Wang et al. (2023) studied this question.
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