Leadership Effectiveness in the Era of Artificial Intelligence and Hybrid Work Environments
Abstract
The rapid growth of artificial intelligence (AI) and the extensive use of hybrid work changed the current workplace in various aspects. It has also changed how leaders lead as well as how their work is reviewed. The old leadership models that were geared towards individuals reporting to the same place to work with one another may not be effective now. Remote working, working with digital technologies, and decision-making with the assistance of AI are such new workplaces. The paper evaluates the performance of leaders who operate in an AI-powered compound workplace. It is worried about the shift in the style of leadership to accommodate the spread-out team, which heavily pioneers technologies and possesses both human and artificial components. The article is based on the notions of leadership theory, digital leadership studies, and socio-technical concepts. It utilises a mixed-method research design. The categories of variables that we will collect quantitative data on will include the leadership styles, level of AI utilization, level of individual communication, and group performance according to a survey. The data will be received on a qualitative level, in the form of interviews with the leaders and the employees who will work within the hybrid environment. We expect the results to prove that AI-assisted hybrid settings with the use of adaptive, transformational, and servant leadership styles are more effective. This is especially the case when these leaders are not just good with the use of digital tools, but also ethics savvy and possessing outstanding emotional intelligence. By this union of the two types of data, the study has a positive impact on the theory of leadership because it shows the portrait of good leaders in AI-based hybrid working systems. It also provides some practical advice to companies that have an interest in developing work leaders for the future.
Fields of Study & Subjects
Corporate Management and Leadership
Employee Performance and Leadership
Leadership and Management in Organizations
Publication details
- Journal / source
- Cognizance Journal of Multidisciplinary Studies
- Volume
- 6
- Issue
- 2
- Pages
- 221–243
- Publication date
- 28 February 2026
- Language
- EN