As the AI industry develops rapidly, high-quality data is crucial for powerful AI algorithms. However, research predicts that by 2026, there may be a shortage. Methods to address this data scarcity include improving algorithms to utilize existing data more efficiently and using synthetic data to train systems. Additionally, AI companies might need to pay for data access to restore the power imbalance between creative workers and AI companies.