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Artificial intelligence is transforming business in the share market, simplifying trading and improving investor experience. Machine learning, computer vision, and predictive analytics enhance portfolio management, trading strategies, and market analysis to their best capabilities. One of the most important uses is demand forecasting, which allows traders to forecast trends, reduce risks, and maximize profitability. AI-based automated trading platforms employ deep learning to make trades independent of human actions. Recommendation systems study investor patterns to provide individualized stock recommendations, optimizing portfolio performance. AI-based risk management utilizes smart sensors and real-time monitoring to track market movements and minimize losses.AI chatbots augment investor assistance through real-time analysis and trading guidance. Dynamic pricing algorithms scan market trends and competitors' actions, fine-tuning investment plans for maximum returns. Fraud detection systems enhance security through the detection of market manipulation and insider trading. Despite its advantages, AI implementation in the share market has challenges such as high costs of implementation, data privacy issues, and reskilling financial experts. This paper discusses actual case studies of AI in the share market, detailing its benefits and limitations. As AI advances, its application in financial markets will increase, resulting in more intelligent and investor-centric trading experiences. This paper identifies current trends, future directions, and the long-term effect of AI-based share market management on financial development and sustainability