The Impact of Using Artificial Intelligence on Investment Decisions

Abstract

This research aims to analyze the impact of using Artificial Intelligence (AI) on investment decisions, through an applied study on healthcare sector projects within the Maysan Investment Commission. The research adopted a descriptive-analytical approach and relied on field data collected via a questionnaire, of which (101) surveys were analyzed using SPSS and Smart PLS software. The results showed a significant impact of AI in improving the efficiency and accuracy of investment decisions, with an effect coefficient value of (0.514) at a significance level of (0.000). This confirms that employing AI techniques—such as Machine Learning, Expert Systems, and Deep Learning—contributes to enhancing the quality of investment decisions and reducing risks. The findings also indicated that the dimensions of Expert Systems and Deep Learning had the most significant influence on investment decisions compared to other dimensions. The research recommended the necessity of developing a legal and regulatory framework for the use of AI in investment institutions, establishing hybrid systems that combine automated analysis and human expertise, and adopting training programs to qualify employees to deal with AI technologies.