Introduction
Digital transformation in the military domain has rapidly reshaped the nature of warfare and power. In this context, artificial intelligence (AI), as one of the most consequential emerging technologies, has ushered in a new wave of the revolution in military affairs. This transformation extends beyond the enhancement of weapons systems; it has also produced a paradigm shift in the speed of decision-making, models of command and control, and the concept of deterrence.
Against this backdrop, the Russo–Ukrainian War, as the first major interstate conflict to unfold in the emerging age of AI, provides a vital and increasingly well-documented case for analyzing the role of cyber units in integrating the physical, cyber, and cognitive dimensions of warfare. AI-enabled cyber units, supported by algorithmic learning and automated analytical capabilities, have not only enhanced and partially automated offensive and defensive operations but have also transformed the capacity for real-time strategic decision-making.
The present study aimed to examine the operational, organizational, and discursive nexus surrounding the use of AI-enabled cyber units in the Russo–Ukrainian War, exploring the implications of the lessons derived from this experience for Middle Eastern security. It tried to answer the following questions: What role do AI-enabled cyber units play in reshaping the military balance in the Russo–Ukrainian War? And what tangible implications do the strategic lessons derived from this conflict have for exacerbating or containing the security dilemma in the Middle East?
Literature Review
The existing literature on AI-enabled cyber warfare has focused predominantly on its hardware and technical dimensions, while failing to fully account for the multifaceted nature of the phenomenon. This dominant approach tends to overlook two crucial dimensions: (1) the significance of organizational and decentralized adaptations on the battlefield, and (2) the role of intangible, discursive, and narrative dimensions in conflicts occurring in the information age.
The literature can be broadly divided into two main streams. The first comprises studies that focus on the geopolitical competition among major powers, particularly the United States and China, over control of the global data-driven architecture and the implications of AI for the distribution of power. Examples include “A New Approach to Power Based on Artificial Intelligence: A Case Study of US–China Competition From 2010 to 2023” (Torki, 2024) and “The US–Sino Competition in the Field of Artificial Intelligence: From Technonationalism to Technogeopolitics” (Pirmohammadi et al., 2024). These studies primarily examine AI and data as emerging sources of geopolitical power and strategic competition.
The second stream consists of studies examining hybrid warfare, cyber warfare, and transformations in the discursive dimensions of conflict. A notable example is the article titled “The Role of Artificial Intelligence Technology in Transforming the Nature of War: Based on the Study of Strategic Documents of the Zionist Regime” (Mohammadi-Monfared & Taghipour-Javi, 2025). This body of research examines the Russo–Ukrainian War as the first major conflict to unfold in the emerging age of AI, as well as the military strategies of the Zionist regime, with particular attention to the multifaceted dimensions of hybrid and cyber warfare. Despite the significance of previous research findings, a critical review of the literature reveals an important analytical gap regarding the operational–comparative link between the evolution of warfare and its implications for regional security.
Materials and Methods
This study employed a comparative case study approach. First, a content analysis of the documents at the strategic–operational level was conducted to draw key lessons from the experience of the Russo–Ukrainian War. These lessons were then applied to the competitive dynamics, vulnerable infrastructures, and technological capabilities of key Middle Eastern actors to identify potential future scenarios and threats. Moreover, the theoretical framework of cognitive realism—a synthesis of neoclassical realism and structuralism—was used to analyze material–semantic synergies in cyber-information operations. The analysis specifically focused on its analytical lens on the case of AI-enabled cyber units in the Russo–Ukrainian War.
Results and Discussion
The Russo–Ukrainian War clearly demonstrated that warfare is shifting from a mass model based on the concentration of forces and equipment toward a network- and data-driven structure, in which military superiority is increasingly a function of the speed of data collection and processing, the connectivity of information nodes, and the ability to immediately operationalize information, rather than simply the accumulation of resources. One of the most prominent consequences of this transformation is the significant shortening of the identification–decision–action cycle. Cyber units, electronic warfare operations, and AI-based signal and information analysis tools played a decisive role in supporting battlefield operations during the Russo–Ukrainian War. These capabilities were not only effective in identifying and disrupting enemy systems but were also used to coordinate diverse sources of information—including drones, satellites, and human intelligence—to produce a common operational picture. One of the defining dimensions of the Russo–Ukrainian War is the expansion of the battlefield into the cyber and information domains, where AI, as a strategic accelerator, has proven effective at both the level of offensive and defensive operations and the level of narrative warfare.
As the first large-scale field experiment combining AI with hybrid warfare, the Russo–Ukrainian War has provided a clear picture of the future of international security. The lessons of this war have profound implications, both at the theoretical level—by intensifying the security dilemma and redefining norms—and at the practical level—by highlighting the importance of organizational flexibility and material–semantic synergy. The Middle East is historically characterized by the nature of adversarial regimes, the strong presence of non-state actors, and arms races. The region is thus particularly susceptible to the reproduction and even intensification of these patterns. From this perspective, the Ukrainian experience is not merely a case study but also a strategic warning for the future security of the Middle East.
In comparative terms, the pattern of technological competition in the Middle East can be analyzed at three levels: (1) the centralized authoritarian model (Iran and Saudi Arabia), (2) the decentralized and networked technological model (Israel and the UAE), and (3) the intermediate model (Turkey). The most successful actors in the future will be those capable of combining technological innovation with organizational adaptability and intelligent narrative construction. Generally, the emerging threats to the Middle East in the age of AI have three main characteristics: (1) accelerated decision-making and intensified preemptive responses, (2) the expansion of the battlefield to civilian infrastructure, and (3) the increasing blurring of the distinction between war and peace. Together, these three trends provide a clear picture of a post-AI Middle East.
Conclusion
This study analyzed the strategic role of AI-enabled cyber units in transforming military equations, drawing strategic lessons from the experience of the Russo–Ukrainian War for the security of the Middle East. According to the findings, innovative strategic superiority depends on combining technological innovation with institutional adaptability and intelligent narrative construction. The emergence of AI in cyberspace is not merely a technological transformation but a revolution in military affairs that has simultaneously transformed the material (hardware competition) and semantic (narrative warfare) dimensions of hybrid warfare.
Applying the lessons of Ukraine to the Middle Eastern security environment suggests that the region has entered a new phase of technological competition that could lead to the Ukrainization of security, or the internal erosion of states. Competition among key actors such as Iran, Israel, and Turkey in developing AI-based decision-making systems is shortening decision-making cycles and increasing the likelihood of preemptive action and miscalculation. The growing reliance of states on digital infrastructure makes them increasingly attractive targets for AI-driven cyberattacks, while cognitive warfare poses a direct threat to social cohesion and state legitimacy. Overall, this research suggested that the future of Middle Eastern security would lie not in absolute military power, but in states’ ability to intelligently manage the interaction among technology, organization, and identity narratives in the age of algorithms.