For the military, the toughest AI adoption challenge isn't on offense, but defense: overcoming institutional resistance to granting AI the autonomy needed to defend networks at machine speed. A human-alert system is too slow, creating a major bureaucratic and command-and-control dilemma.

Debates over systems like Israel's 'Lavender' often focus on the AI. However, the more critical issue may be the human-defined 'rules of engagement'—specifically, what level of algorithmic confidence (e.g., 55% accuracy) leadership deems acceptable to authorize a strike. This is a policy problem, not just a technology one.

To prevent a scenario where 'the algorithm did it,' the U.S. military relies on the legal principle of 'human responsibility for the use of force.' This ensures a specific commander is always accountable for deploying any weapon, autonomous or not, sidestepping the accountability gap that worries AI ethicists.

While the US military opposes bans on autonomous 'killer robots' for conventional warfare, it maintains a firm 'human-in-the-loop' policy for nuclear launch decisions. This reveals a strategic calculation: the normative value of preventing autonomous nuclear use outweighs any marginal benefit, a line not drawn for conventional systems.

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 debate over autonomous weapons is often misdirected. Humanity has used autonomous weapons like landmines for centuries. The paradigm shift and true danger come from adding scalable, learning "intelligence" to these systems, not from the autonomy itself.

The most dangerous phase of AI in warfare is when humans are removed from the decision-making loop. Once one adversary adopts fully autonomous weapons, others will be forced to do the same to remain competitive, creating an unavoidable and terrifying technological arms race.

Countering the common narrative, Anduril views AI in defense as the next step in Just War Theory. The goal is to enhance accuracy, reduce collateral damage, and take soldiers out of harm's way. This continues a historical military trend away from indiscriminate lethality towards surgical precision.

The US military is less concerned about its own AI going rogue and more worried that adversaries like China, who distrust their own generals due to graft or incompetence, will fully automate military decision-making to eliminate human risk, creating a dangerous strategic imbalance.