The Beginning of AI-Powered Warfare: How Military Operations Changed in the Iran Conflict

For the first time in modern warfare history, we are witnessing widespread use of artificial intelligence in actual military operations. The Wall Street Journal reported that the latest conflict in Iran has become a testing ground for a new generation of AI-driven warfare, where tools ranging from intelligence gathering to mission execution have dramatically changed how military forces operate.

According to collected data, the use of AI has significantly accelerated all stages of military operations—from target identification to coordinating complex logistics. But alongside efficiency, it has also introduced new types of changes and ethical challenges in human recognition within digital systems.

From ‘Impossible to Read’ to ‘Quickly Identified’: The Revolution in Intelligence Processing

The deepest bottleneck in traditional military intelligence is the volume of data that humans cannot process. According to US Army officials, the average intelligence analyst can only review about 4% of the total available intelligence materials—the rest remains untouched due to the unlimited flow of information.

This is where Yishai Kohn, an Israeli Ministry of Defense official responsible for strategic planning and information technology, has played a transformative role. Kohn clearly sees AI as the solution to the problem of “information overload.” From his perspective, many potential military missions are not pursued simply because there are not enough resources to analyze critical intelligence data.

Israeli intelligence agencies have used AI-powered vision systems to monitor massive volumes of surveillance footage, specifically CCTV recordings from Tehran and intercepted communications of high-level officials. Machine vision technology can scan thousands of hours of video in minutes, identify specific aircraft models, vehicles, and even extract voice transcriptions from audio recordings. Matan Goldner, CEO of Conntour software, stated, “Intelligence agencies have massive amounts of video data already sorted, but the new generation of AI allows them to find exactly what they need within that ocean of data—efficiently and quickly.”

Accelerating Military Planning: From Weeks to Days

Beyond intelligence gathering, AI has demonstrated powerful impacts on mission planning and strategic logistics. Traditional military planning processes require coordination among intelligence officers, operational commanders, weapons specialists, and logistics coordinators—a process that typically takes several weeks.

The introduction of AI has transformed this timeline. Any change in operational details (such as sudden intelligence about target location) triggers a chain reaction affecting crew assignments, flight paths, fuel calculations, and many other factors. Previously, updating all dependencies was slow and often subjective.

Now, AI-powered planning systems can perform comprehensive calculations within hours. The Pentagon is already using advanced modeling and digital war games to optimize operation sequences and generate alternative action plans. By processing millions of possible scenarios and iterations, planners can quickly identify the most optimal pathway to achieve military objectives.

The Two Faces of Technology: Power and Risks

However, technological advancement is not without its shadows. War is one of the most complex and ambiguous fields of military operations, and AI is not exempt from the limitations of technology itself.

Jack Shanahan, a former US Air Force general and the first head of the Pentagon’s AI initiative, raised a critical concern: much of the training data used for military AI systems is outdated or incomplete. Such data quality issues can lead to significant errors on the battlefield with devastating consequences.

The most alarming case study involves unconfirmed reports of civilian casualties on the first day of recent operations—where military intelligence errors, possibly caused by AI misidentifications, resulted in a tragic incident at a girls’ school in Iran. These incidents highlight that over-reliance on algorithmic decision-making carries real-world human costs.

Security experts like Emelia Probasco from Georgetown University’s Center for Security and Emerging Technology have warned about fully delegating decision-making authority to AI systems. This is a “serious problem” requiring robust safeguards and oversight mechanisms. Yet, investments in infrastructure to mitigate these risks remain critically underfunded. In military operations, human judgment cannot be entirely replaced by algorithms.

The future of military AI depends on how decision-makers—such as strategic planners—balance technological efficiency with human accountability. The lessons from the Iran conflict offer valuable insights for any military organization considering deeper AI integration into operations.