AI companies may face the risk of training data exhaustion in the near future, with high-quality text training data potentially running out by 2026. The use of synthetic data may lead to inherent distortion effects in models, as research indicates the risks. A solution may lie in establishing data partnerships to alleviate supply issues through data exchange.