ARTIFICIAL INTELLIGENCE IN COST MANAGEMENT: ADVANCES, CHALLENGES AND OPPORTUNITIES

Abstract

The present study aims to investigate the effective use of artificial intelligence (AI) in cost management by exploring the extensive literature related to the topic. The research discusses the main technological advances applied to cost management, as well as the inherent challenges of AI implementation, including data security issues, organizational culture, and return on investment (ROI). The methodology employed is an integrative literature review with a qualitative approach. The results indicate that, despite significant technological advances, the adoption of AI in cost management faces substantial obstacles. Data security is a critical issue, given that AI often involves processing large volumes of sensitive information. Additionally, resistance to change within organizations can hinder the integration of new technologies. ROI also presents a challenge, as the financial benefits of AI may not be immediate and require a detailed cost-benefit analysis. The study, therefore, reiterates the relevance of the topic for business management, especially concerning cost control and the pursuit of AI integration from a strategic approach that considers both technological challenges and human and organizational factors.