The Global Strategy and Leadership Review (GSLR) aims to advance high-quality research in the fields of international business strategy and leadership. The journal focuses on fostering scholarly and professional insights into global competitive environments, cross-cultural leadership practices, and strategic decision-making in multinational organizations. It encourages innovative theoretical and empirical studies that contribute to understanding global business dynamics, strategic leadership models, and organizational transformation. The journal seeks to serve academics, industry leaders, and policy-makers by promoting knowledge that enhances effective global strategy formulation and leadership excellence.
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Artificial intelligence agents have become active partners in the organisational decision-making process, replacing automated tools with autonomous systems that can reason, adapt, and shape the judgement of managers. The current qualitative research paper examines how managers in the fast changing AI environment of Saudi Arabia can understand agentic systems and reorganise decision practices for them. Nine finance, healthcare, operations, marketing, and technology managers were interviewed in semi-structured interviews, which were analysed through reflexive thematic analysis. Five themes were identified, which include evolution of managerial mental models in agentic AI contexts, hybrid agency negotiation: human-agent authority dynamics, autonomous agentic workflows, ethics and governance, reconfiguring managerial labour and value creation with AI-augmentation and sensemaking, trust calibration and organisational culture during AI agent integration. The introduction of AI has brought about the ambiguity of algorithms, which have transformed patterns of confidence, risk perceptions, and delegations, necessitating constant interpretive, ethical, and relational efforts. The research project applies the sensemaking theory to the context of agentic AI and offers real-world knowledge on how to collaborate ethically with AI; however, it requires longitudinal, cross-cultural, and multi-level studies.
Artificial Intelligence, AI agents, managerial sensemaking, managerial labour, human-AI interaction, managerial mental models, agentic AI, human AI governance, agency driven labour theory, decision-making.