Investor Perception and Transforming Decision-Making in the Age of AI-Driven Work Arrangements

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Abstract
As behavioral finance explores market imperfections and investor rationality in the absence of seamless access to market information, artificial intelligence emerges as a transformative force in financial decision-making. AI enhances market operations by offering a platform for real-time, accurate, and transparent access to information, thereby influencing investor perception. With its ability to conduct in-depth fundamental and technical analyses, AI plays a pivotal role in identifying stocks, assessing risks, managing funds, and optimizing portfolios. Additionally, AI-driven work arrangements are reshaping financial decision-making by enabling automated trading, algorithmic investment strategies, and data-driven market predictions. As AI fosters greater investor participation and efficiency, it addresses market inefficiencies while making investors more informed and rational participants in equity markets. This study examines the intersection of AI and investor perception in equity markets through a bibliometric and thematic analysis.

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