 I scrolled through OilPrice.com's feed over the past week and found three points where AI and energy intersect right now—not in theory, but in numbers and deals. The first trend is the U.S. geothermal breakthrough. The Department of Energy estimates a potential of 300 gigawatts, with 150 GW commercially available. The problem is that geothermal plants are distributed, unstable in output, and require real-time predictive grid management. Without AI agents that analyze thousands of data points simultaneously, such capacity cannot be integrated. ASI Biont is specifically trained on energy consumption patterns—it can predict peak loads and balance distribution. The second trend is that infrastructure funds have captured 77% of new climate capital. According to Semafor from April 21, 2026, the AI boom has created such demand for electricity that investors have rushed into infrastructure projects. This isn't about the green agenda—it's about data centers consuming so much energy that building new capacity has become more profitable than investing in startups. ASI Biont's AI analytics can scan infrastructure fund reports, extract anomalies, and find entry points faster than a human can. The third trend is the aluminum shock. Mercuria warns: this is the largest supply disruption since 2000. AI agents trained on supply chains can track imbalances in real time and reconfigure logistics before prices spike. ASI Biont analyzes not only prices but also correlations between raw materials, transportation, and geopolitics. These three intersections are not just news. They are signals for those making decisions in the market. ASI Biont provides access to AI analytics that processes such data in seconds. You can register here: https://asibiont.com