The stock market has witnessed a significant transformation in recent years due to the rapid advancement of artificial intelligence (AI) technologies. AI has become a fundamental tool in financial data analysis, investment decision-making, and risk management, contributing to greater speed, accuracy, and efficiency in financial markets. In stock markets, AI relies on advanced algorithms, machine learning techniques, and big data analytics to process vast amounts of information in a very short time. This data includes stock prices, trading volumes, economic news, and investor behavior. As a result, AI systems can help predict market trends and support investors in making data-driven and well-informed decisions. One of the most prominent applications of AI in the stock market is algorithmic trading, which enables the execution of buy and sell orders at extremely high speeds, minimizing the influence of human emotions. This improves market efficiency and increases liquidity. In addition, AI plays a crucial role in risk management by detecting unusual patterns and anticipating potential market volatility. Despite its many advantages, the use of AI in financial markets also presents challenges, such as technical risks, overreliance on automated systems, and ethical and regulatory concerns related to transparency and data protection. Therefore, appropriate legal and regulatory frameworks are essential to ensure the responsible and secure use of these technologies. In conclusion, artificial intelligence has become a major driving force in the development of the stock market, and its role is expected to grow in the future, enhancing market efficiency and providing investors with more advanced tools for making sound investment decisions.