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.

Drone strikes on Amazon data centers during the Iran conflict suggest that critical AI and cloud infrastructure are now viewed as high-value military targets. This parallels how oil fields and refineries were targeted in previous eras of warfare.

Building massive sensor networks or missile defense systems is physically observable, giving adversaries time to develop countermeasures. In contrast, a sudden leap in AI-enabled intelligence processing can be invisible, creating a surprise window of vulnerability with no warning.

In warfare or business, an opponent's sheer speed can render superior intelligence irrelevant. A novice chess player making four moves for every one of a grandmaster's will win. Similarly, AI systems that can execute faster will defeat more intelligent but slower counterparts.

The US government is labeling Anthropic a "supply chain risk" over ethical disputes while simultaneously using its AI model, Claude, for targeting and intelligence in strikes on Iran. This reveals a deep, contradictory dependence on the very technology it publicly rejects, undermining its own punitive measures.

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 primary US motivation for the conflict with Iran is not nuclear weapons or ideology, but the need to secure $2 trillion in pledged investments from Gulf states into America's critical AI infrastructure and economy.

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.

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.