Martech Shifts Toward Smaller Specialized Models

Industry article argues that Martech teams increasingly favor smaller, task-specific AI models over large general-purpose models due to latency, cost, and governance constraints. It details how real-time personalization, continuous high-volume usage, and regulatory requirements make big models impractical and recommends embedding lightweight, controllable intelligence into orchestration layers to reduce latency, lower operating costs, and improve compliance.