If you have been reading this blog for a bit now, you know we have been skeptical of the “AI Bubble.” Our skepticism, or at least my own, has mostly centered around the economic implementation lagging the hype. We spent the better part of 2025 watching companies buy massive amounts of GPU compute to build smarter chatbots, yet aggregate productivity statistics barely budged. (Yes, we have some data now that shows the effects of AI on productivity but not nearly as much as you would think).

While the market was distracted by the “Brain” trade (LLMs, data centers, and NVIDIA chips), you may have missed the momentum building in the “Body” trade.

Headlines this past week have announced the Fed's recent interest rate cut. Interest rates have now been shifted from a range of 3.5 to 3.75 percent, and not without controversy.

The decision was made amid an economically confusing environment characterized by both high inflation and high unemployment. While most headlines highlight the potential impacts on mortgages, inflation, and overall employment, this article focuses on how lower interest rates could significantly increase employment among recent college graduates.

In our business, precision is power. We build predictive models for clients making some of their biggest fiscal decisions. A couple of months ago, one of our best performers, a model that had nailed inventory needs quarter after quarter, started to drift. Its forecasts weren’t wrong, exactly. Just… fuzzier. The prediction intervals widened. The signals got noisier.

When we investigated, the culprit wasn’t the math; it was the map. Our assumptions, built on decades of reliable data from America’s gold-standard statistical agencies, were suddenly out of sorts. Tariff tremors, policy-driven supply distortions, and even now a federal shutdown have all disrupted the data we depended on.