Public debate often focuses on whether AI is conscious. This is a distraction. The real danger lies in its sheer competence to pursue a programmed objective relentlessly, even if it harms human interests. Just as an iPhone chess program wins through calculation, not emotion, a superintelligent AI poses a risk through its superior capability, not its feelings.

Counterintuitively, Anduril views AI and autonomy not as an ethical liability, but as a way to better adhere to the ancient principles of Just War Theory. The goal is to increase precision and discrimination, reducing collateral damage and removing humans from dangerous jobs, thereby making warfare *more* ethical.

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.

While fears focus on tactical "killer robots," the more plausible danger is automation bias at the strategic level. Senior leaders, lacking deep technical understanding, might overly trust AI-generated war plans, leading to catastrophic miscalculations about a war's ease or outcome.

The debate around AI in warfare often misses that significant autonomy already exists. Systems like the Phalanx Gatling gun and "fire-and-forget" missiles, which operate without human supervision after launch, have been standard for decades, representing a baseline of existing automation.

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 expert clarifies that "fully autonomous weapons" is a confusing term not used in official policy. The military has used "autonomous weapon systems"—defined as systems that select and engage targets without further human intervention after activation—since the 1980s, such as radar-guided munitions.

Public fear focuses on AI hypothetically creating new nuclear weapons. The more immediate danger is militaries trusting highly inaccurate AI systems for critical command and control decisions over existing nuclear arsenals, where even a small error rate could be catastrophic.

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.