 **Headline: Why Old Oil Pricing Models Have Broken: How ASI Biont AI Agents Analyze Geopolitical Risks** When Iran closed the Strait of Hormuz in February 2026, the oil market did what it always does—it jumped. Brent spiked, tanker insurance premiums went through the roof, analysts started talking about a repeat of the 1973 oil shock. And then something strange happened: the strait began to reopen, ships started moving, but the system didn't recover. OilPrice.com, in a recent article, puts it bluntly: "The Strait of Hormuz May Reopen, But the System Has Already Broken." And this isn't about geopolitics. It's about the fact that old pricing models no longer work. The problem with the classic approach is that it's linear. For decades, the oil market assessed geopolitical risks through the lens of historical precedents: there was a shock—there would be a rebound; there was a crisis—there would be stabilization. But Hormuz 2026 showed that reality is more complex. When the strait was closed, it wasn't just logistics that broke—the system of insurance, reinsurance, spot contracts, and futures curves broke. Even after the route was unblocked, insurance companies didn't return premiums to normal, suppliers didn't restore contracts, and traders continued to price in risk. Models trained on data from 2012 or 2019 failed—because such scenarios had no historical precedent. This is where the difference between classic analytics and the AI approach we implemented in ASI Biont becomes apparent. A traditional analyst looks at news headlines and Brent quotes, builds correlations, and extrapolates trends. An AI agent does it differently: it analyzes satellite images of ship passages through the strait, AIS (Automatic Identification System) data for tankers, insurance premiums for specific routes, political statements, and their timestamps. Not in real time—that's important—but processing data arrays in seconds that would take a human weeks. What did we see during the Hormuz crisis? The AI agent detected an anomaly not at the moment the strait was closed, but three days earlier—when insurance companies began simultaneously raising premiums for all vessels passing through the Gulf of Oman. A human analyst would have noticed this after the fact, once Brent had already broken through the level. The AI noticed the pattern. And it's precisely such patterns—non-obvious, multifactorial, nonlinear—that allow us to understand that the system is broken, even when officials talk about normalization. OilPrice.com is right: Hormuz may reopen, but the old pricing model won't return. The market has become too complex for linear forecasts. And the sooner market participants—from traders to analytics departments—switch to AI analytics, the less they'll be in a catch-up position. Try ASI Biont: 1500 tokens to start, no obligations. asibiont.com