Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{192823,
author = {Nubi Achebo},
title = {Agentic AI and Human Agency in the Future World of Work: Redefining Autonomy and Responsibility},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {3431-3442},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=192823},
abstract = {Significantly, the development of agentic artificial intelligence systems, characterized by goal-directed, adaptive, and semi-autonomous action, has profoundly restructured the architecture of work and the foundational concepts of autonomy, agency, and responsibility. In contrast to previous automation systems, which were designed to assist and augment human decision-making, the development of agentic artificial intelligence systems has introduced the concepts of distributed and collective agency, human intentionality, and machine execution. This study examines the impact of agentic artificial intelligence systems on human autonomy and agency in the context of changing work arrangements. Through the use of theories and perspectives from the disciplines of philosophy, organizational studies, cognitive sciences, labor economics, and artificial intelligence governance, the study proposes a conceptual framework for the distinction of human autonomy, agency, and responsibility in the context of hybrid human-artificial intelligence systems.
Through a comprehensive analysis of various governance models, task allocation mechanisms, skill transformations, and sectoral studies of the healthcare, manufacturing, and knowledge work sectors, the study finds evidence that agentic artificial intelligence systems are not only augmenting and replacing human labor, but are, in fact, transforming human agency itself. In addition, the study proposes various strategic scenarios of preservation, erosion, and drift to predict the future of human agency in the context of changing AI autonomy. In conclusion, the future of work would be determined not by the presence of artificial intelligence systems, but by the development of autonomy, agency, and responsibility in the context of collaborative human-artificial intelligence systems.},
keywords = {Agentic AI, Artificial Intelligence, Workforce, Human Agency, Human–AI Collaboration, Human Agency, Work Autonomy, Algorithmic Governance, Distributed, Responsibility, Trustworthy Artificial Intelligence, Organizational Design, Digital Transformation of Work, AI Ethics and Regulation, Future of Work.},
month = {February},
}
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