Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine how agentic AI reshapes organisational sensegiving. The analysis argues that autonomous decision-making systems function as an organising layer that reallocates decision rights, displaces managerial power, and creates agency loops in which accountability circulates between human and artificial actors. Findings highlight three consequences: erosion of middle-manager sensegiving, professional identity threat and ontological insecurity, and the need for an Agentic Operating Model that embeds meaningful human oversight, control layers, and governance accountability. The paper contributes a theoretically integrated account of agentic AI as an organisational actor and offers practical implications for maintaining human agency, ethical judgment, and organisational resilience in AI-orchestrated firms.
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine how agentic AI reshapes organisational sensegiving. The analysis argues that autonomous decision-making systems function as an organising layer that reallocates decision rights, displaces managerial power, and creates agency loops in which accountability circulates between human and artificial actors. Findings highlight three consequences: erosion of middle-manager sensegiving, professional identity threat and ontological insecurity, and the need for an Agentic Operating Model that embeds meaningful human oversight, control layers, and governance accountability. The paper contributes a theoretically integrated account of agentic AI as an organisational actor and offers practical implications for maintaining human agency, ethical judgment, and organisational resilience in AI-orchestrated firms.
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence is usually analysed as a productivity technology, a labour-market shock, or a governance problem. This article argues that its deeper political significance may arise from a fourth channel: ontological displacement. Ontological displacement occurs when a technology weakens the socially recognised characteristics through which people understand human worth, competence, status, agency, and legitimate authority. Advanced AI can produce such displacement even before mass unemployment occurs, because credible machine substitutes may devalue expertise, educational scarcity, cognitive achievement, and the belief that productive contribution is a primary basis of social membership. The article develops an AI Ideological Conflict Framework that links capability shocks to perceived replaceability, distributional stress, meaning loss, legitimacy gaps, ideological mobilisation, and possible intrastate or interstate conflict. The framework integrates labour economics, meaningful-work research, political behaviour, sacred-values scholarship, AI governance, and futures studies. Using evidence-weighted horizon scanning, causal layered analysis, and a two-axis scenario matrix, four structural futures are developed: Managed AI Capitalism, Humanist Social Dividend, Algorithmic Oligarchy, and Cybernetic Commonwealth. The analysis argues that the most dangerous period is not necessarily a mature post-work society, but a transitional regime in which employment remains culturally necessary for dignity and income while human cognitive labour becomes less economically scarce. The paper forecasts that future ideological conflict is likely to centre on two questions: who owns the surplus generated by machine intelligence, and whether human beings should retain final authority when artificial systems outperform them. Policy implications include broadening status and social contribution beyond employment, dispersing AI rents, preserving meaningful human agency, strengthening transition institutions, and treating human sovereignty as a constitutional rather than merely technical design question.
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
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