Published Paper Details:

This study investigates the impact of Artificial Intelligence (AI) on equity share trading, with a specific focus on comparing market efficiency and investor behaviour before and after AI integration. Employing a mixed-methods approach, data were collected through structured surveys from 100 respondents and secondary sources such as financial databases. The findings indicate that AI has significantly enhanced trading efficiency by reducing transaction costs, improving decision-making speed, and increasing returns. However, challenges such as limited accessibility, tool complexity, and ethical concerns persist. This study also elucidates behavioural changes among investors, including increased reliance on AI-driven platforms. Key recommendations include simplifying AI tools, enhancing transparency, and implementing educational initiatives to support diverse investor groups. These insights contribute to the understanding of AI's transformative role in equity trading and provide actionable solutions to optimize its adoption.