The use of synthetic data in AI training is gaining traction as real data becomes scarce and expensive. Companies like Anthropic and Meta are already leveraging synthetic data for their models, while projections suggest the market could reach $10.34 billion in a decade. Despite its advantages, synthetic data is not without risks, including inherent biases and the potential for reduced model quality over time. Experts warn that careful oversight is essential to avoid pitfalls like model collapse. The future of AI training may still require human intervention to ensure data integrity.