OpenAI's forthcoming Astra AI model has reportedly resolved 10 significant open problems in quantum complexity and mathematics, potentially marking a substantial breakthrough in the application of artificial intelligence to scientific research1. The internal version of the model has achieved proofs related to quantum parallel repetition and enhanced hardness results for the closest vector problem, which have important implications for quantum information science, quantum verification, and post-quantum cryptography. These advancements could significantly accelerate the development of quantum-resistant cryptographic protocols, making them more urgent for organizations to adopt. The claimed results, if verified, would demonstrate AI's capability to contribute meaningfully to cutting-edge scientific research. This development matters to practitioners because it underscores the increasing urgency of migrating to post-quantum cryptography, highlighting the need for prompt planning and implementation to stay ahead of potential quantum computing threats.