Frontier labs are replacing human-made data with synthetic versions across the intelligence pipeline. This shift prioritizes simulation over manual curation to accelerate training. While these synthetic alternatives may be 10% less accurate, they offer massive gains in speed and cost. Practitioners must now optimize for model-made data quality over human-labeled sets.