Evaluating the Influence of AI-Integrated Cloud Computing Services on Individual and Organizational Performance Metrics

Abstract

Artificial Intelligence (AI)-integrated Cloud computing services are transforming how individuals and organizations operate by enhancing performance, collaboration, and access to digital resources. This research investigates the effects of these services on individual efficiency, skill development, and satisfaction, as well as on organizational processes, cost management, and data governance. Semi-structured interviews with professionals across diverse sectors provided insights into both practical benefits and challenges of implementation. Results indicate that AI-driven Cloud solutions improve task efficiency, facilitate interdepartmental and cross-organizational collaboration, and support the development of individual competencies. Organizations benefit from optimized workflows, reduced operational costs, and improved data security, while societal impacts include enhanced digital equity, resilience, and innovation potential through secure and efficient management of large-scale data. Despite these advantages, privacy concerns, environmental considerations, and organizational readiness remain significant factors that influence adoption outcomes. The findings contribute to the understanding of AI-integrated Cloud computing adoption, highlighting the interplay between technology, human factors, and organizational practices. The study offers practical guidance for organizations and individuals seeking to leverage AI-driven Cloud services effectively while addressing associated risks, and extends theoretical perspectives on the adoption and performance implications of emerging information technologies.