In this inaugural episode of Built for Billions, Shrikant and Sunil Jagadeesh tackle a simple question: *if everyone is investing in AI, why isn't it showing up in the P&L?*

They draw a line between "surface AI" like chatbots and generative catalog content, and "operational AI" that lives inside the decision loops governing pricing, search, inventory, and retail media. The former is visible and fast to deploy. The latter is where margin, revenue, and fulfillment efficiency are actually driven.

Sunil argues that the bottleneck isn't AI adoption but operational penetration. Pricing is still rule-based. Merchandising is still in spreadsheets. AI has been treated as a feature on top of unchanged workflows, not embedded into the core systems where ROI is generated.

The takeaway: retailers who treat AI as an operating system for commercial strategy will separate themselves from those still running isolated experiments.