Companies are building internal AI factories to maintain control over proprietary data. This shift focuses on balancing strict ownership with the high-quality data flows required for reliable insights. MIT Technology Review highlights how this infrastructure supports governance and sustainability. Practitioners must now navigate the tension between closed data silos and the need for scalable model training.