Omer Abdulhaleem Naser, Khalidh Jasim Abbas, Usama Samir Mahmoud and Israa Abd ULkareem Hussein
Adv. Artif. Intell. Mach. Learn., XX (XX):-
1. Omer Abdulhaleem Naser: A final-year Ph.D. student at the University Putra Malaysia, Faculty of Engineering. I majored in computational methods in engineering. The specified research field is biometrics, particularly facial recognition for occluded faces.
2. Khalidh Jasim Abbas: University of Information Technology and Communications
3. Usama Samir Mahmoud: Electronic Computer Center, University of Information Technology and Communications
4. Israa Abd ULkareem Hussein: Scientific Affair Department, University of Information Technology and Communications
DOI: 10.54364/AAIML.2026.62295
Article History: Received on: 28-Dec-25, Accepted on: 01-Apr-26, Published on: 08-Apr-26
Corresponding Author: Omer Abdulhaleem Naser
Email: omar.abdulhalem592@gmail.com
Citation: Khalidh Jasim Abbas, et al. The Impact of Artificial Intelligence Systems on Organizational Competitive Advantage: An Analytical Study. Advances in Artificial Intelligence and Machine Learning. 2026. (Ahead of Print). https://dx.doi.org/10.54364/AAIML.2026.62295
Artificial Intelligence (AI) has been a paradigm changer that has
transformed the competitiveness of the organization, most of the time in the
context of the business we currently practice. This paper provides an
analytical paper on the strategic value of AI-based systems, such as machine
learning, predictive analytics, and intelligent decision support systems, in
gaining a competitive edge in the long term and facilitating strategic
decision-making. According to the Resource-Based View (RBV) and the Dynamic
Capabilities Theory, the study will focus on how AI can help harness the most
efficient exploitation of firm knowledge, an innovation capability, and
strategic agility. A systematic review of the existing literature in the years
2020 to 2025 reveals that companies implementing AI technologies in the process
of strategic decision-making are more informed, flexible, and capable of
responding to the market. The algorithmic decision support, process automation,
and AI-enabled strategic foresight are identified to be the key enablers of
sustainable advantage, whereas the challenges, including issues of data
governance, consideration of ethics, and the dynamics of human/AI collaboration
prior, are found to be persistent. The outcomes emphasize the central
conclusion, according to which the long-term competitiveness is gradually
becoming reliant on aligning the capacities of the AI with the strategic
objectives to transform AI into an important organizational asset, but not an
instrument to be utilized by the organization.