Cognition is becoming a focal domain of strategic competition of the twenty-first century battlespace. Within this environment, artificial intelligence (AI) is becoming a transformative operational technology with strategic significance that extends beyond simple automation or data analytic tools. Perhaps most exemplary of these advanced capabilities are agentic AI (aAI) systems that are being employed to function with increasing autonomy in influence operations to engage the cognitive domain by adaptive narrative generation, predictive analytics, and affecting targets’ emotional states to alter behavioral outcomes. In this way, autonomous aAI-based narrative warfare can be seen to be an emergent, defining feature of contemporary conflict.
This strategic evolution reflects a broader change in the character of both warfare and the leveraging of power. While industrial-era conflict emphasized territorial conquest and material production, current information-age competition seeks digital connectivity and communication dominance as prime dimensions of disruption, influence and leveraging power. Agentic AI systems are playing a central role given their combined effects of computational speed, psychological precision, and narrative adaptation as key elements of a managed cognitive environment. In this ecology, informational exposure, emotional salience, and behavioral direction are all subject to machine-based optimization.
Indeed, aAI introduces a new operational logic to the conduct of influence activities. Whereas prior information operations relied upon human-directed messaging cycles that involved planning, dissemination, assessment, and revision that incurred a slower tempo of execution; state-of-the art aAI systems conduct these functions simultaneously and recursively, and can acquire and assimilate behavioral telemetry, evaluate emotional resonance, and optimize narrative framing to develop and disseminate persuasive content specific to particular target recipients. Thus, aAI-based influence operations have evolved from episodic campaigns to persistent adaptive ecosystems capable of shaping individual and collective cognition.
In this cognitive battlespace, machine systems interact with human neurocognitive processes. Human cognition is subserved by biologic mechanisms of sensory integration, selective attention, memory encoding, emotional prioritization, and social identity formation. Agentic AI systems can exploit these mechanisms through predictive modeling and targeted narrative delivery. For example, machine learning architectures can identify patterns of emotional vulnerability, ideological affinities, and behavioral susceptibilities to generate persuasive content that can be calibrated to maximize cognitive salience, emotional instigation, behavioral priming and prompting, and social expression and effect-amplification. These systems can operate in and across social media platforms, streaming environments, gaming milieu, and digital commerce infrastructures to encompass the entire informational ecology in which individuals construct subjective and collective reality.
Agentic AI systems are well suited to this operational setting, as they can conduct myriad simultaneous engagements while iteratively refining function(s) to match and incur optimal effect upon continuously updated behavioral data and output(s). While human cognition sequentially and contextually processes and engages information, aAI systems entail distributed informational flows through massive, parallel computational architectures. These distinctions in processing structures and functions establish substantive strategic advantage for actors capable of integrating and employing aAI in influence operations.
To wit, machine-speed narrative adaptation affords capacity for rapid exploitation of a host of environmental conditions (e.g., political crises, social unrest, economic instability, public health emergencies) that can be used to affect individual and collective perceptions of security, stability, risk, threat and harm(s) to evoke vulnerabilities and volatilities in target individuals and/or populations. Such emotional activation can function as a force multiplier within digital ecosystems to heighten affective engagement, enhance content propagation, and influence individual and collective identity values, and directionally instigate behavior(s).
Predictive cognitive targeting can be used to further enhance the sophistication and effectiveness of AI-enabled influence operations. Machine learning architectures can be employed to aggregate and analyze demographic data, psychometric indicators, behavioral histories, consumption patterns, linguistic patterns, biometric signals, and geospatial information. Taken together, these functions can (1) construct detailed cognitive profiles of individuals and communities; (2) generate tailored persuasive information and environments aligned with specific psychological predispositions and sociocultural contexts; and (3) facilitate highly individualized influence strategies capable of shaping perception and behavior with precision. continuously across digitally networked societies.
Moreover, the convergence of aAI with immersive technologies accelerates evolution of cognitive engagement architectures, functions, and effects. Virtual reality environments, augmented reality systems, synthetic audiovisual media, and interactive digital ecosystems can all function as platforms for exercising experiential persuasion through multisensory stimulation capable of producing cognitive effects via behavioral conditioning under conditions of sustained interactive exposure.
Hence, informational tempo and the pace of incurred effect(s) become both tactical tools and strategic variables in cognitive warfare. This gives rise to what we refer to as “human-machine narrative asymmetry”. In this light, Cognitive engagement can thus be seen as an adaptive interaction between biological perception, processing and response(s), and machine-mediated narrative/cognitive engineering.
The strategic implications of these developments extend across multiple aspects of national security and geopolitical competition. For instance, electoral processes are increasingly subject to AI-mediated algorithmic amplification that can shape political visibility, public discourse, and emotional engagement. Economic competition can incorporate AI-generated predictive narratives designed to influence market confidence, consumer sentiment, and perceptions of institutional stability. Intelligence operations are becoming increasingly reliant upon AI-based signals’ and communication analyses, sentiment analytics, social mapping, and behavioral forecasting in surveillance and reconnaissance, and to identify opportunities and vectors for influence and strategic disruption. And military operations are integrating cognitive engagement strategies aimed at fortifying morale, alliance cohesion, public support, and influencing adversarial decision-making processes.
In sum, these capabilities establish a new and important dimension of the modern battlespace, as coordinated influence operations blend into organic communication environments, thereby shaping peer-competitor and adversaries’ perceptions and behaviors through distributed, highly adaptive tools and techniques of strategic engagement. These systems entrench commercial technology within the contemporary cognitive battlespace. Recommendation engines, targeted advertising systems, engagement optimization platforms, predictive analytics architectures, and attention-maximization algorithms collectively establish operational substrates through which cognitive warfare can be conducted.
To be sure, the relationship of commercial AI entities and national security is becoming ever stronger. Digital technology corporations exercise significant influence upon information exposure, individual and collective values and emotionality, and social coordination through reliance (if not frank dependence) upon extant and emerging tools and methods of information acquisition, use and communication. Agentic AI systems employed in and by these commercial enterprises can shape visibility hierarchies, discourse dynamics, and attentional flows on a range of scales (e.g.- from the individual to the international) to directly affect geopolitical stability, economic confidence, social cohesion, and interactive behavior(s).
This evolving reality positions cognitive security as a strategic imperative in any pragmatic contemporary posture of national defense states. Accordingly, military doctrine should acknowledge and address strategic competition in and across cyber, and cognitive domains. In particular, gray-zone/irregular warfare (IW) operations are becoming ever more reliant upon the tactical utility and strategic value of autonomous narrative warfare. States and non-state actors are increasingly pursuing objectives through non-kinetic influence activities that are conducted using aAI in and across digital ecosystems.
This portends a trend that must be acknowledged and addressed. Namely, current and near-future strategic environments will involve increasingly aAI systems to conduct coordinated narrative operations to incur disruptive (non- and/or pre-kinetic) effects in targeted populations. Therefore, research agendas addressing the development and use(s) of these technologies will require interdisciplinary integration of neuroscience, artificial intelligence, behavioral psychology, strategic studies, political science, cybersecurity, sociology, and communications theory. Strategic studies examining AI-enabled gray-zone competition can provide more detailed understanding of how cognitive warfare is being (and could be) leveraged in broader scaled geopolitical competition. And given the convergence of quantum computing, edge AI, neural interface technologies, and predictive behavioral analytics, authentic strategic foresight will require sustained examination of emerging technological trends and trajectories.
Strategic Recommendations
We opine that iterative development and application of aAI-enabled cognitive warfare necessitates revisiting current national security doctrine to ensure prioritization of operational capabilities and defensive postures in this domain. Specifically, we offer the following recommendations toward such goals:
- Formal integration of cognitive security to national security strategy and defense planning. Contemporary security frameworks remain largely organized around physical, cyber, and informational domains despite growing evidence that strategic competition increasingly targets perception, identity formation, emotional orientation, and collective decision-making. A dedicated cognitive security paradigm could and should be developed to identify vulnerabilities, assess adversarial influence activities, and coordinate responses across governmental, commercial, academic, and civil society sectors.
- Establish protection of critical cognitive infrastructure as a strategic priority. Educational systems, public health communication networks, media institutions, democratic processes, financial systems, and emergency response frameworks collectively contribute to societal resilience. The stability and legitimacy of these institutions increasingly depend upon informational environments capable of sustaining trust, coordination, and effective collective action. Efforts directed toward strengthening informational integrity therefore possess significance that extends well beyond communications policy and into the broader realm of national security.
- Expand interdisciplinary research to afford enhanced understanding of the evolving cognitive battlespace. Progress within this domain increasingly depends upon collaboration among neuroscience, artificial intelligence, psychology, cybersecurity, strategic studies, communications theory, sociology, political science, and behavioral economics. Attention to neurocognitive influence mechanisms, collective identity formation, synthetic media ecosystems, biometric persuasion technologies, and machine-mediated social dynamics promise to advance both theoretical understanding and practical preparedness.
Conclusion
Agentic AI systems are increasingly being used to conduct adaptive influence operations that blur traditional boundaries between human and machine agency, individual and collective influence, engagement of civilian and military targets, local and global audiences, and definitions of peace and conflict. Within this emerging battlespace, cognitive superiority derives from persuasive narratives and messaging, as well as the capability to shape informational environments in which individuals and populations perceive, interpret and react to reality. Ultimately, the definitive strategic competition may be the capacity to influence the cognitive frameworks through which individuals and societies perceive themselves, their adversaries, and the world around them. In this respect, the future battlespace will engage technological systems, platforms and networks, as well as the neurocognitive processes of human perception, judgment, and action. In this context, strategic advantage will depend upon the ability to recognize, understand, and respond to adversarial efforts directed toward shaping cognition through the ever-expanding use of aAI.
Disclaimer
The views and opinions expressed in this essay are those of the authors and do not necessarily reflect those of the United States government, Department of War or the National Defense University.
