For the past three years, the AI conversation has been dominated by scale. Bigger models, bigger compute clusters, bigger headlines. But the next wave of competitive advantage won’t come from who can rent the biggest model; it will come from who can build the smallest one that knows their business. That model is the small language model (SLM): Compact, purpose-built, trained on an organization’s own data and run under that organization’s own governance. The problem with renting intelligenceRight now, most organizations consume AI the way they once consumed electricity from a single utility by plugging into a handful of frontier models built by a small number of global vendors.