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1711915PublishedVol 9 · Issue 5

From Automation to Agency: How Agentic AI is Redefining Human-AI Collaboration

Adnan Ghaffar

Subject area: Science,Engineering and Technology  ·  Area of research: AI Automation and Innovation

DOI: https://doi.org/10.64388/IREV9I5-1711915

Abstract

The fast development of artificial intelligence (AI) is changing the paradigm of traditional automation where machines perform established functions- to agentic AI, and it is autonomous, adaptable, and goal-oriented. Such a shift reinvents the concept of human-AI cooperation and shifts it towards efficiency and task division to partnership, co-creation, and joint decision-making. The agentic AI systems have the ability to read between the lines, negotiate goals and take initiatives in the dynamic world, therefore, broadening the potentials of humans, as opposed to substituting them. In this paper, the conceptual and practical implications of this change are discussed, focusing on the way the agency of AI transforms the organizational processes, ethical patterns, and human identity in the socio-technical systems. In an interdisciplinary discussion, we will claim that the future of collaboration is in the development of symbiotic agency- a model where humans and intelligent agents co-evolve and exploit the combined advantages of each other to do things that neither can do singly. Finally, the shift toward automation to agency is an important shift in re-conceptualizing the very concept of intelligence itself as a communal and participatory activity and not a human or machine space.

How to cite this paper

Adnan Ghaffar "From Automation to Agency: How Agentic AI is Redefining Human-AI Collaboration" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1029-1034 https://doi.org/10.64388/IREV9I5-1711915
Adnan Ghaffar "From Automation to Agency: How Agentic AI is Redefining Human-AI Collaboration" Iconic Research And Engineering Journals, vol. 9, no. 5, Nov. 2025, doi: https://doi.org/10.64388/IREV9I5-1711915
Adnan Ghaffar (2025). From Automation to Agency: How Agentic AI is Redefining Human-AI Collaboration. Iconic Research And Engineering Journals, 9(5). doi: https://doi.org/10.64388/IREV9I5-1711915
Adnan Ghaffar "From Automation to Agency: How Agentic AI is Redefining Human-AI Collaboration" Iconic Research And Engineering Journals, vol. 9, no. 5, Nov. 2025. Crossref, https://doi.org/10.64388/IREV9I5-1711915
@article{1711915,
      author = {Adnan Ghaffar},
      title = {From Automation to Agency: How Agentic AI is Redefining Human-AI Collaboration},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {5},
      pages = {1029-1034},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711915.pdf},
      abstract = {The fast development of artificial intelligence (AI) is changing the paradigm of traditional automation where machines perform established functions- to agentic AI, and it is autonomous, adaptable, and goal-oriented. Such a shift reinvents the concept of human-AI cooperation and shifts it towards efficiency and task division to partnership, co-creation, and joint decision-making. The agentic AI systems have the ability to read between the lines, negotiate goals and take initiatives in the dynamic world, therefore, broadening the potentials of humans, as opposed to substituting them. In this paper, the conceptual and practical implications of this change are discussed, focusing on the way the agency of AI transforms the organizational processes, ethical patterns, and human identity in the socio-technical systems. In an interdisciplinary discussion, we will claim that the future of collaboration is in the development of symbiotic agency- a model where humans and intelligent agents co-evolve and exploit the combined advantages of each other to do things that neither can do singly. Finally, the shift toward automation to agency is an important shift in re-conceptualizing the very concept of intelligence itself as a communal and participatory activity and not a human or machine space.},
      month = {November},
      doi = {https://doi.org/10.64388/IREV9I5-1711915}
  }