The Evolving Landscape of Military Operational Thinking in the Age of AI

The integration of artificial intelligence (AI) into military planning and operational design has sparked a growing unease among military practitioners. Despite advancements in tools, increased processing speed, and unprecedented access to data, military plans often struggle with integration, coherence, and a shared understanding of objectives. This article examines the perceived decline in operational art, the tensions between different approaches to operational thinking, and the implications of AI’s growing role in shaping military strategy.

The Perceived Decline of Operational Art

Recent wargaming exercises, particularly those simulating high-intensity conflict scenarios, have highlighted a concerning trend: a diminishing understanding and application of operational art within U.S. And allied militaries. Marco Lyons’s analysis, published in War on the Rocks, underscores this issue, noting difficulties in integrating campaigns, sequential decision-making, and a widening gap between planning and operational coherence. This decline isn’t necessarily a failure of individual planners, but rather a symptom of deeper tensions in how operations are conceived and executed.

Three Traditions of Operational Thinking

Operational art isn’t a monolithic body of knowledge, but rather a collection of traditions shaped by historical problems and assumptions about warfare. Understanding these different traditions is crucial for navigating the complexities of modern conflict.

The Anglo-American Center of Gravity Approach

This tradition emphasizes analytical discovery through decomposition – identifying an adversary’s critical capabilities, requirements, and vulnerabilities to pinpoint decisive points for intervention. Its strength lies in clarity and traceability, aiming to translate complex situations into understandable analyses. This approach aligns with the current interest in leveraging AI for improved decision-making.

German Focus and Order Tactics

Rooted in German military thought, this tradition centers on the concepts of focus and order tactics. Decisive operational focus isn’t a pre-existing objective to be discovered, but a relational configuration established through judgment in context. Coherence is achieved through situational awareness, initiative, and adaptability, emphasizing understanding as inseparable from action.

Soviet Operational Art

Developed in response to industrialized mass warfare and vast geographical spaces, Soviet operational art emphasized simultaneity, echeloned forces, and the deliberate sequencing of operations. Rather than seeking collapse through a single point, coherence was pursued through sustained pressure on the adversary’s system as a whole, focusing on material factors, force ratios, logistics, and tempo.

AI as an Amplifier of Operational Thinking

AI’s impact on military planning isn’t simply about accelerating existing processes or automating tasks. It actively shapes how operational problems are perceived, structured, and understood. AI doesn’t arrive as a neutral instrument; it amplifies the operational thinking tradition that structures the planning process, reinforcing patterns of attention and shaping what is considered actionable.

Current AI applications readily align with the analytic center of gravity tradition, utilizing pattern recognition, network mapping, and predictive modeling. However, this alignment also reveals limitations. Forms of operational understanding reliant on situational judgment, improvisation, and dynamic orchestration don’t easily translate into machine-readable representations. As AI-supported processes structure attention, these forms of understanding risk becoming marginalized.

The Challenge of Professional Awareness

The central challenge posed by AI isn’t technical, but professional. It requires cultivating awareness of which ways of thinking are being amplified and which are being obscured. Maintaining meaningful human agency in planning depends on ensuring the profession remains capable of understanding the environment in which both human and machine reasoning operate.

The ability to move deliberately between different modes of operational reasoning, staying with the problem longer than standard procedures allow, and critically evaluating the underlying assumptions of each approach is paramount. Operational art should be viewed not as the application of a fixed method, but as a professional capacity to navigate complex situations.

As AI becomes increasingly integrated into military planning, a sustained focus on understanding the assumptions that underpin operational art is essential. The profession must critically examine its tools and traditions to ensure it doesn’t allow an adversary – or an algorithm – to dictate the terms of engagement.