Prediction 9 of 10: The regulatory pressure for learning data privacy is growing. At the same time, organizations want richer learning analytics. These ambitions increasingly conflict with privacy constraints that limit data collection, retention, and cross-system sharing. Emerging approaches offer a path forward. Privacy-respecting data architectures are moving from Innovators to Early Adopters; some organizations will muddle through with compliance theater, but early movers will turn their stance on privacy into competitive advantage.