In the financial industry, artificial intelligence (AI) has become a disruptive force, especially when it comes to stock market investments. This study investigates how artificial intelligence (AI) can be used to analyse intricate market dynamics, forecast trends, and maximize investment choices. Artificial intelligence (AI) systems can evaluate large datasets, spot patterns, and make choices in real time with previously unheard-of precision by utilizing machine learning, neural networks, and natural language processing. The study emphasizes how AI may improve risk assessment, algorithmic trading, sentiment analysis, predictive modelling, and portfolio management. The broad adoption of AI is hampered by issues including data quality, algorithmic biases, legal concerns, and expensive implementation costs, despite its benefits. This study assesses how well AI can enhance decision-making, reduce risks, and handle complicated markets while also pointing out drawbacks and moral dilemmas. This study intends to add to the expanding conversation on incorporating AI into stock market investments by analysing the body of existing work and offering practical advice. The results highlight AI's potential to transform financial decision-making and promote a more effective, fair investing environment.