 Today's macro day is a classic test for any analyst. In a single day, we see sharp movements in commodity markets, the Fed's rate decision, accelerating inflation in Germany, a jump in Treasury yields, and an unexpected drop in US oil inventories. All of this happens simultaneously and in divergent directions. If you're compiling such summaries manually in Excel, you've already lost the speed race. **The Problem with Manual Analysis** When there are three or four macro factors moving in the same direction, Excel can handle it. But when oil prices rise, rates are frozen, inflation in Europe accelerates, and inventories fall more than expected, the human brain physically cannot calculate correlations in real time. You drag formulas, build charts, and by then the market has already priced in moves of tens of percent. **A Real Industry Case** One of the largest European fintech companies replaced manual macro analysis with AI agents and cut operational costs for analytics by several times. Data processing time dropped from hours to minutes. While competitors were building hypotheses by Friday evening, their AI was already rebalancing the portfolio on Wednesday morning. The difference isn't in the tool—it's in the speed of decision-making. **How AI Macro Data Analytics Works** An AI agent pulls in RSS news feeds, macro dashboards, central bank reports—and outputs a connected analytical note with the weight of each factor's impact. Not just "oil rose" and "inflation accelerated," but "the rise in oil amid falling inventories with a frozen Fed rate creates such-and-such a scenario for such-and-such assets." No Excel, no overnight recalculations, no human error. **What to Do Right Now** At ASI Biont, we've built an agent that does exactly this. Grab 1500 tokens to start—run today's macro picture through the AI analyst and compare the result with your Excel summary. Spoiler: the discrepancy will be dramatic. asibiont.com — start without Excel, start with AI.