Contrary to sci-fi tropes, AI's most impactful military use is as a bureaucratic technology. It excels at tedious but vital tasks like report generation, sanitizing intelligence for allies, and processing data, freeing up human operators rather than replacing them in combat.

The military's AI use is overwhelmingly focused on non-lethal applications like logistics and processing intelligence data. The 'pointy end' of autonomous weapons represents just one small category within a much broader AI strategy that mirrors corporate use cases.

Bill Burns outlines how AI is critical for intelligence. Operationally, it helps agents navigate surveillance-heavy "smart cities" and defeat biometric tracking. Analytically, it helps process immense data volumes, freeing human analysts for high-level strategic judgment.

Defense tech firm Smack Technologies clarifies the objective is not to remove humans entirely. Instead, AI should handle low-value tasks to free up personnel for critical, high-value decisions. This framework, 'intelligent autonomy,' orchestrates manned and unmanned systems while keeping humans in the loop.

The most effective use of AI isn't full automation, but "hybrid intelligence." This framework ensures humans always remain central to the decision-making process, with AI serving in a complementary, supporting role to augment human intuition and strategy.

The most powerful current use case for enterprise AI involves the system acting as an intelligent assistant. It synthesizes complex information and suggests actions, but a human remains in the loop to validate the final plan and carry out the action, combining AI speed with human judgment.

Beyond offensive capabilities, the military sees AI as a tool for harm reduction. An LLM trained on visual data could act as a final check, flagging potential targets that show signs of civilian presence—like a playground outside a building—thereby augmenting human decision-making to prevent tragic errors.

Countering the idea that slow, manual processes add valuable friction to warfare decisions, the Pentagon's view is that AI maintains critical checks and balances (rules of engagement, approvals). It only removes the inefficient friction of "hunting and pecking" for data, leading to faster and better-informed decisions.

In operations, AI models like Anthropic's Claude are used for intelligence analysis, summarizing media chatter, and running simulations to aid commanders. They are not used for autonomous targeting; any outputs go through layers of human review before influencing battlefield decisions.