The Executive Copilot: Investigating the Impact of Generative AI Assistants on Strategic Decision-Making, Leadership Efficiency, and Managerial Creativity
- Title
- The Executive Copilot: Investigating the Impact of Generative AI Assistants on Strategic Decision-Making, Leadership Efficiency, and Managerial Creativity
- Creator
- Kalebar, Rajiv U; Swetha, N.; Divya, U.; Verma, Amit
- Description
- The generative artificial intelligence (AI) revolution has given rise to a class of technology - executive copilots that are designed to unclog the brains of overworked managers in the 21st century. This paper examines the effects of generative AI assistants on three intertwined facets of executive performance - strategic decision making, leadership effectiveness, and managerial creativity. Early literature suggests that AI systems could automate administrative tasks and offer data-driven insights; however, we still lack an understanding of their comprehensive impact on executive tasks and outcomes. To bridge this gap, the study uses a multimethod research design, drawing on survey data from 350 senior executives from various firms, controlled experimental studies of strategic problem solving, and in-depth case analysis of firms in finance, consulting, and technology sectors. Results suggest that AI copilots contribute significantly to faster decision-making and creative output by helping to synthesize information and sparking divergent thinking rapidly. Consistent with this, results reveal that a potential 'caveat' of overreliance on AI-generated recommendations might lead to less scrutiny and thus the fragility of the high-stakes decision-making in practice. Theoretically, the study extends the leadership augmentation theory to the context of generative AI. It extends the conceptualization of the executive copilot in terms of a complementary agent that adjusts the boundary of human-machine collaboration. Pragmatically, it has implications for executive education, corporate governance, and the design of responsible AI uptake strategies. Through methodical analysis of opportunities and risks, this study offers a nuanced view of how executive copilots change leadership practice in the era of intelligent augmentation. 2025 IEEE.
- Source
- Proceedings - 2025 IEEE DELCON: International Conference on Recent Smart Technologies in Engineering for Sustainable Development;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Executive Copilot; Executive Training; Generative AI; Human-AI Collaboration; Leadership Efficiency; Managerial Creativity; Strategic Decision-Making
- Coverage
- Kalebar R.U., Christ University, School Of Business And Management, Department Of SBM- Mba, Bengaluru, India; Swetha N., Alliance University, Alliance Ascent College, Department Of General Management, Bengaluru, India; Divya U., Alliance School Of Business, Alliance University, Alliance Ascent College, Bengaluru, India; Verma A., Kalicharan Pg College, Department Of Commerce, Lucknow, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833155864-2;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kalebar, Rajiv U; Swetha, N.; Divya, U.; Verma, Amit, “The Executive Copilot: Investigating the Impact of Generative AI Assistants on Strategic Decision-Making, Leadership Efficiency, and Managerial Creativity,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25823.