The Iran Conflict: History’s First “AI War”
TechFlow Selected TechFlow Selected
The Iran Conflict: History’s First “AI War”
AI technology has improved efficiency in intelligence collection, target selection, mission planning, and battle damage assessment.
Navigating Web3 tides with focused insightsBy Long Yue
Source: WallStreetCN
In the U.S.-Israeli military operation against Iran, artificial intelligence was deployed at scale in combat for the first time—potentially marking history’s first “AI war.”
According to a recent report by The Wall Street Journal, AI tools were integrated across intelligence gathering, target selection, mission planning, and battle damage assessment—significantly boosting operational efficiency. In the latest conflict, the U.S.-Israeli coalition leveraged AI to process massive volumes of data, rapidly identify targets, and optimize resource allocation.
Yet beyond efficiency, AI has also brought the cost of error into sharp focus. In the complex, dynamic battlefield environment, AI’s limitations have become starkly apparent. Outdated data, system errors, and overreliance on machine-driven decisions can all lead to catastrophic outcomes—including civilian casualties.
Intelligence Processing: From “Too Much to Read” to “Searchable”
Military strikes begin with intelligence—but traditional processes stall at the bottleneck of “too much to read.” A frontline U.S. military official stated that human analysts typically review only about 4% of available intelligence material.
Yishai Kohn, an Israeli Defense Forces colonel responsible for planning, economics, and IT, said, “AI’s most immediate impact is in intelligence,” adding, “Many potential missions never even occur because there simply isn’t enough manpower to assess critical intelligence.”
The report notes that Israeli intelligence agencies have long monitored hacked Tehran traffic cameras and intercepted high-level official communications—increasingly relying on AI to sift actionable leads from vast intercepted data streams.
AI-powered computer vision can rapidly identify targets from massive volumes of video and imagery—even distinguishing specific aircraft or vehicle models—and extract and summarize relevant conversations from intercepted audio. Matan Goldner, CEO of Israeli software firm Conntour, observed, “Intelligence agencies already possess enormous volumes of video data; today’s AI enables them to detect precisely what they need within that ocean of data.”
Accelerating Mission Planning: From “Weeks” to “Days”
Beyond intelligence processing, AI also shows promise in mission planning and logistics management. Traditional military operations planning requires coordination among intelligence officers, combat commanders, weapons specialists, and logistics personnel—and often takes weeks to complete. With AI, this timeline could shrink to days.
In mission planning, even minor adjustments—such as a shift in target location—trigger cascading effects on crew scheduling, flight plans, and fuel consumption. Historically, updating these variables was both slow and subjective. Now, AI can instantly compute how each change impacts overall military deployment by modeling complex interdependencies.
The Pentagon is increasingly using AI to run simulations and digital wargames—optimizing target prioritization and developing operational plans. By evaluating millions of iterative scenarios, planners can quickly converge on the course of action most likely to achieve mission objectives.
The Double-Edged Sword: Gains in Efficiency vs. Emerging Risks
AI’s application in warfare still carries enormous risks—war remains one of humanity’s most chaotic and complex endeavors.
Jack Shanahan, the Pentagon’s first AI director and a retired U.S. Air Force lieutenant general, pointed out that a major challenge in building military AI lies in the fact that much of the training data is outdated or insufficiently clear. Moreover, AI system errors and inaccuracies can prove fatal on the battlefield. According to reports, U.S. military investigators believe that intelligence failures on the first day of the war may have led to the deaths of dozens of children at an Iranian girls’ elementary school.
Even more concerning is overreliance on AI decision-making. Emelia Probasco, senior researcher at Georgetown University’s Center for Security and Emerging Technology, warned that delegating decision authority to AI “is a serious problem.” She stressed the necessity of implementing appropriate safeguards to mitigate risk—yet investment in such infrastructure remains inadequate. In warfare, human judgment remains irreplaceable.
Join TechFlow official community to stay tuned
Telegram:https://t.me/TechFlowDaily
X (Twitter):https://x.com/TechFlowPost
X (Twitter) EN:https://x.com/BlockFlow_News
