Unleashing ChatGPT: Revolutionizing Business Strategies in Saudi Arabia’s Financial Landscape

Abstract

Introduction: ChatGPT in Saudi Arabia’s financial sector revolutionizes business strategies, enhancing innovation, streamlining decision-making, and empowering organizations to thrive in a competitive, rapidly evolving economic landscape with Artificial Intelligence AI-driven insights. Objective: the main objective of this study is to determine the interplay between training data bias, AI model fine-tuning, metrics, assessment methodologies, and AI usage in the financial markets of Saudi Arabia. Method: participants are from banking industry of Saudi Arabia. The data gathered from Jeddah, Riyadh, Makkah, and Madina region of Saudi Arabia. The data collected through an online survey via questionnaires. The research used a random sampling procedure, selecting a sample size of 323 participants. This research chose reliability analysis, factor analysis, correlation analysis and regression analysis. Results: the reliability analysis shows that the constructs are highly consistent with one another. Regression shows that ChatGPT, Training Data & Bias, and Metrics and Evaluation have a positive significant effect on business strategies in the financial markets of Saudi Arabia (P<0,05). While Metrics and Evaluation are not statistically significant on business strategies in the financial markets of Saudi Arabia (P>0,05).