In early 2026, a quiet shift occurred in how AI models are built. Faced with plateauing performance from human-generated training data and the astronomical costs of licensing high-quality content, major labs and startups alike began leaning heavily on synthetic data—AI-generated text, images, and code used to train the next generation of models. On paper, it’s …