AI in new management: challenges and opportunities in postmodern administration

Abstract

Public and private organizations, in the digital era, face the challenge of optimizing their internal processes to remain competitive and meet growing social demands. Bureaucracy, resistance to change, and the lack of adoption of disruptive technologies, such as Artificial Intelligence (AI), are recurring obstacles. This study focuses on analyzing AI in neomanagement, exploring the opportunities and challenges that this technology presents for modern management. The research uses a qualitative methodology, including interviews with AI experts, management consultants, and public officials, as well as focus groups with employees from various organizations. An exhaustive review of academic literature and international success cases is also conducted. The analysis aims to discover how AI implementation can generate benefits such as task automation, improved decision-making, service personalization, and increased productivity. The documentary-bibliographic approach will help identify trends and best practices in the field. Experiences of companies that have successfully implemented AI will be studied to extract valuable lessons. The findings are expected to identify the areas where AI has the greatest impact and the obstacles that must be overcome for its proper adoption. The results will provide practical recommendations for organizations interested in leveraging the potential of AI in their management. AI implementation can radically transform business operations, provided it is supported by proper planning and a culture that promotes innovation. This research seeks to help close the gap in AI adoption and accelerate its integration in both the public and private sectors.