Frontier labs are flipping the intelligence pipeline from human-made to model-made data. This shift prioritizes simulation over manual curation to accelerate training. While synthetic outputs may be slightly lower quality, they offer massive gains in speed and cost. Practitioners must now optimize for synthetic data curation rather than human labeling.