The Posthuman Executive: AI‐Driven Leadership and Automation in Thailand′s Industry 4.0

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Authors: Sid Terason, Chaithanaskorn Phawitpiriyakliti
Cited by: 0
References: 33

Abstract

This study investigates how industrial executives in Thailand′s manufacturing sector navigate artificial intelligence integration into leadership practices. As AI systems increasingly participate in organizational decision‐making, questions arise about how leaders experience shared authority with algorithmic agents and how cultural context shapes that experience. Drawing on semi‐structured interviews with 25 senior executives from medium‐ to large‐scale manufacturing firms, this study employed thematic analysis within a constructivist paradigm to explore perceptions, strategies, and ethical considerations surrounding AI adoption. Four themes emerged: technological augmentation of human labor, transformed executive roles in AI‐mediated decision‐making, ethical and workforce challenges, and uneven readiness for technological transformation. The findings reveal a fundamental paradox: executives increasingly depend on AI for operational decisions while simultaneously resisting delegation of authority to machines. This tension reflects Thai cultural values including bun khun (reciprocal obligation) and kreng jai (reluctance to impose or cause discomfort). We propose pragmatic posthumanism as a concept capturing this liminal condition—where leaders functionally share agency with AI systems yet remain institutionally and culturally positioned as sole decision‐makers. The hybrid‐intelligence leadership framework emerges from these findings, integrating cognitive integration, ethical governance, and workforce adaptation as culturally embedded domains. This study contributes to leadership theory by demonstrating how AI‐driven transformation unfolds differently across cultural contexts, challenges Western‐centric assumptions about human‐machine collaboration, and offers practical guidance for executives, policymakers, and educators navigating Industry 4.0 in Southeast Asia.

Fields of Study & Subjects

Corporate Management and Leadership Impact of AI and Big Data on Business and Society Artificial Intelligence Applications

Publication details

Journal / source
Human Behavior and Emerging Technologies
Volume
2026
Issue
1
Publication date
1 January 2026
Language
EN