The military's primary incentive is to use weapons that are effective and reliable, as soldiers' lives depend on it. This inherent conservatism acts as a strong filter against deploying unproven or unpredictable AI systems, making them slower, not faster, to adopt bleeding-edge technology in life-or-death situations.

China is far more willing to accept collateral damage and system failures. This tolerance could allow them to deploy less-than-perfect AI and robotic systems at scale, accepting high casualty rates (human and robotic) to achieve party objectives.

While the U.S. and China pursue hyperwar as a national strategy, its most rapid development is happening organically on the battlefield. Outnumbered forces like Ukraine are forced to innovate with autonomous systems out of necessity, driving a bottom-up adoption of hyperwar tactics.

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.

The ethical stance of requiring a human in the loop for autonomous weapons faces a serious strategic problem. A weapon system with a human decision-maker will likely lose to a fully autonomous one, forcing a choice between ethics and military effectiveness.

The conversation will shift from the ethics of using AI in combat to the immorality of *not* using it. Just as autonomous cars will eventually be safer than human drivers, AI-guided weapons will be more precise and less likely to cause unintended harm, making their use a moral obligation.

Contrary to the 'killer robots' narrative, the military is cautious when integrating new AI. Because system failures can be lethal, testing and evaluation standards are far stricter than in the commercial sector. This conservatism is driven by warfighters who need tools to work flawlessly.

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.