The Role of Artificial Intelligence in Enhancing the Accuracy of Accounting Estimates: Evidence from the Iraqi Telecommunications Sector

Abstract

This study explores how artificial intelligence (AI) could improve accounting estimates' precision, openness, and auditability in the Iraqi telecom industry. The structure, consistency, and disclosure procedures of accounting estimates are assessed by the study using a comparative document-based examination of Asiacell, Zain Iraq, and Al-Khatem Telecom's annual financial reports from 2020 to 2023. The results are compared to international standards such as IAS 8 and ISA 540 (Revised). Although these disclosures did not specifically mention the usage of AI technologies, the uniformity and openness that were noted point to organized models that may have been facilitated by business software. According to the study, using AI such as explainable AI (XAI) and predictive analytics could enhance estimation quality and promote audit preparedness. The lack of primary data, such as surveys or interviews, and the lack of direct confirmation of AI adoption are the study's limitations. To further comprehend AI's changing role in financial estimate, future study is advised to investigate organizational preparedness, do sectoral comparisons, and include longitudinal evaluations.