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.

Instead of automating decisions, the Pentagon's AI strategy focuses on synthesizing vast amounts of data—assets, weather, potential reactions—to expand a human operator's situational awareness, enabling them to make better, more informed choices.

The Department of War's secure "GenAI.mil" tool was developed in just 60 days by a tiger team of ex-Big Tech engineers. It achieved massive adoption, reaching one-third of the 3-million-person organization within a month of launch.

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.

Contrary to the perception of AI in warfare as a future concept, Anthropic's Claude AI is already integral to U.S. military operations. It was actively used for intelligence assessment, target identification, and battle simulations in the recent Middle East air strikes.

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.