Large Language Models Substantially Compress Well-Being Inequality but Largely Preserve Its Socioeconomic Structure

Research using large language models (LLMs) to generate synthetic populations has repeatedly shown that model outputs compress the diversity of human experience. This has raised doubts about whether LLM-generated data can capture meaningful differences within populations. We show that such compressi