Learning-Loop Economics explains why the pace of learning now outpaces the advantage of scale. When companies capture proprietary interactions, feed them into models, and ship improvements back to customers quickly, they create loops that compound advantage over time.
‍
This framework shows how data → model → usage cycles drive exponential outcomes. Firms with high learning velocity adapt faster, retain more customers, and build defenses that rivals struggle to imitate.

The lesson is clear: in the AI era, speed of learning becomes the new growth curve.
A deeper exploration of Learning-Loop Economics—including examples, scoring methods, and case studies—will be featured in my forthcoming book, The Strategic Formula.