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This study explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) in financial forecasting within the United States, aiming to uncover advancements, challenges, and broader implications for stakeholders in the financial markets. Through a systematic literature review and content analysis, the research examines peer-reviewed journals, conference proceedings, and reputable institutional reports from 2010 to 2024. The methodology identifies empirical evidence highlighting the role of AI and ML in enhancing the accuracy and efficiency of financial predictions, while also considering ethical and regulatory challenges posed by these advancements.
Verma et al. (2024) studied this question.