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Abstract This article examines the transformative potential of artificial intelligence (AI) in asset management, highlighting how AI can enhance research, decision-making, communication, and trading processes. AI, particularly through machine learning (ML) and generative models, can significantly reduce analysts’ time on data collection and analysis, offer standardized recommendations, and improve communication efficiency. However, risks include potential biases and a lack of transparency in AI-driven decisions.
Philipp Immenkötter (Wed,) studied this question.