Digital Administrative Transformation Through Artificial Intelligence: A Comparative Study of Global Companies (IBM, Google, Amazon)

Abstract

This research examines the experiences of leading global companies such as IBM, Google, and Amazon in utilizing artificial intelligence technologies to support digital administrative transformation. It aims to analyze how these technologies are integrated into various administrative domains, including human resources, financial management, and operational processes. The study adopted a qualitative, comparative analytical methodology through the use of multiple case studies. Data collection involved reviewing official documents, annual reports, and academic articles. The findings indicate that artificial intelligence is no longer merely a supportive technical tool, but has become a strategic axis for restructuring organizations, enhancing operational efficiency, and achieving greater transparency in digital governance. For instance, IBM employed tools such as Watsonx and predictive analytics to improve human resource and financial management. Google incorporated generative AI into its cloud services to strengthen decision-making, while Amazon focused on machine learning algorithms to optimize supply chain management and predict customer behavior. The study provides recommendations for developing companies to adopt a gradual approach, beginning with the establishment of digital infrastructure, followed by the implementation of smart automation, and ultimately achieving comprehensive strategic integration. It also emphasizes the importance of training human capital and fostering a culture of innovation to ensure sustainable growth at both the Arab and global levels..