Unprecedented! Under the cloud of war, AI participates on a large scale for the first time, igniting the global powder keg. Are your $BTC and $ETH still safe havens for wealth?

A recent military conflict may be marked in history as the first war to extensively deploy artificial intelligence. In operations targeting Iran, algorithmic systems were deeply involved in intelligence analysis, target selection, operational planning, and damage assessment, significantly improving the efficiency of military actions.

A market analysis indicates that AI tools processed massive amounts of data to help quickly identify targets and optimize resource allocation. However, increased efficiency also meant that the costs of errors were amplified. In the chaotic battlefield environment, the limitations of algorithms were fully exposed.

The most direct change was in intelligence processing. Traditionally, human analysts could review only about 4% of intelligence material. An Israeli colonel responsible for planning and IT admitted that AI’s most immediate impact is in intelligence, as many potential missions could not be carried out due to a lack of manpower to evaluate key information.

Reports say that Israel’s intelligence agencies have long monitored infiltrated Tehran traffic cameras and intercepted communications of high-ranking officials, increasingly relying on algorithms to sift through vast intercepted data for clues. Machine vision can quickly identify targets in videos and images, even distinguishing specific aircraft or vehicle models, and can extract and summarize conversations from audio.

A software company executive stated that intelligence agencies already possess vast amounts of video data, and current AI technology enables them to precisely detect desired content within this ocean of data.

The cycle of mission planning has also been compressed from weeks to days. Traditional military planning requires coordination among intelligence, operations, weapons, and logistics departments, which is time-consuming. AI can instantly process complex interactions and calculate how details like target position shifts affect overall deployment.

The U.S. Department of Defense is increasingly using AI-driven models and digital wargaming to optimize target prioritization and develop operational plans. By processing millions of iterative scenarios, planners can quickly identify the most feasible paths to achieve objectives.

However, this is a double-edged sword. War is among the most chaotic and complex human activities. The core challenge in developing military AI is that much of the training data is outdated or unclear. System errors and inaccuracies could lead to deadly consequences on the battlefield.

Some investigations suggest that on the first day of the conflict, intelligence errors may have caused civilian casualties at a girls’ elementary school in Iran. More concerning is the overreliance on machine decision-making. A senior researcher at Georgetown University warned that handing over decision-making to algorithms is a serious issue, requiring safeguards to limit risks. Currently, infrastructure investments in this field remain insufficient.

In the fog of war, human judgment remains an irreplaceable last line of defense. This technological conflict serves as a warning to all data- and algorithm-dependent fields—including highly digital markets like $BTC and $ETH: when systems operate faster in the name of efficiency, are we prepared to bear the full costs of their mistakes?

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