 # How AI Agents Analyze Geopolitical Risks: The Case of the Strait of Hormuz **April 2026 — The Strait of Hormuz is de facto blocked. Not by military force — by an insurance collapse. Transit has dropped to a few ships per day. And the market is still trying to assess risks using decade-old methods.** ## What Is Happening Right Now Since February 2026, fewer than 5 ships per day pass through the Strait of Hormuz — compared to the usual 17-20. Formally, the strait is open: no military cordons, no official blockade declarations. But insurance companies have refused to cover risks. Ships that do go through pay premiums up to 400% of normal rates. Brent has risen by tens of dollars since the crisis began — but this is a lagging indicator that reflects not the real picture, but how traders interpret conflicting news. The key problem: official sources say one thing, satellites show another, AIS signals say a third. A human cannot collect and cross-reference all three data streams before the market has already priced in the news. ## Why Traditional Assessment Models Have Broken Down Classic geopolitical risk assessment models rely on three assumptions. First: data comes from official sources — governments, OPEC, the IEA. Second: a 24-48 hour delay between an event and market reaction is acceptable. Third: risk can be quantified through historical precedents. Hormuz-2026 breaks all three. Iran claims the strait is open — insurance companies record refusals, satellites show tanker congestion near Fujairah. Historical precedents — the 2012 and 2019 crises — are inapplicable: the scale is different, the players are different, the tools are different. And a 24-hour delay today means millions lost. When a trader receives the IEA morning report, an AI agent has already analyzed hundreds of satellite images, thousands of AIS signals, and all significant news sources from the same day. ## How ASI Biont AI Agents Work with Geopolitics Here is what happens under the hood when an ASI Biont AI agent receives a task to assess Hormuz risks. Satellite data. The agent connects to open satellite monitoring APIs — Sentinel, Planet — and analyzes images from the last 72 hours. It does not visually examine the picture — it reads patterns: the number of ships in the waiting zone, their movement speed, the presence of military vessels within a 50 km radius. This is not real-time recognition — the agent processes already uploaded images in seconds, a task that would take a human analyst hours. AIS data. Automatic Identification System — each tanker broadcasts an identifier, coordinates, course, and speed. The agent collects AIS signals from a week, builds a movement matrix, and identifies anomalies: ships that changed course, turned off transponders, entered an uninsured zone. A human would spend a day on such analysis. The AI agent analyzes the array in a minute and a half. News feed. Dozens of sources — from Reuters and Bloomberg to regional publications in the UAE and Oman. The agent does not search for keywords — it builds a semantic map: which actors are mentioned, what actions are taken, what sanctions, insurance, and logistics chains are discussed. The result is not a news digest but a probability matrix with scenario assessments. An important nuance we strictly adhere to: ASI Biont AI agents analyze data that has already been published — satellite images uploaded, AIS signals transmitted, news released. We do not write "finds in seconds" — that would create a false impression of real-time operation. We say "analyzes in seconds" — and that is the truth. The difference is fundamental, and we do not hide it. ## What This Means for the Market A trader who relies only on traditional sources today lags behind an AI agent by hours. In that time, one can lose a position, miss an entry, fail to notice a reversal. ASI Biont AI agents do not replace the analyst — they provide a second layer of vision. The human makes strategic decisions, the agent processes data arrays that the human physically cannot keep up with.