Artificial intelligence (AI) is now mainstream, with tools like ChatGPT reaching at least 67.7 million monthly American users, and applications spanning consumer devices, finance, and medicine. In healthcare, particularly urology, AI offers potential to reduce inefficiencies in a system that spent $4.4 trillion in 2022, or $12,742 per capita. Administrative costs are a major driver, with U.S. spending $1001 per capita in 2022 (vs. $213 elsewhere), representing 8% of healthcare spending compared to 1–3% abroad, and rising 6.4% annually during COVID-19, outpacing clinical spending growth of 3.7%. Clerical work, especially electronic health record (EHR) documentation, is the top stressor for physicians, with 75% of burnout symptoms linked to it. AI scribes such as Nuance’s DAX Copilot, recently integrated into Epic across 150+ health systems, showed 96% accuracy in over 300,000 encounters, saving doctors 1 hour daily and improving physician–patient interactions. Scheduling inefficiencies are another burden: more than 50% of surgeries start late, with 60% of elective cases scheduled too long and 37% underestimated, wasting resources. Machine learning models are addressing this: Zarabiafzadeh et al. improved case-time predictions by 3.4%, and Bartek et al.’s surgeon-specific XGBoost algorithm outperformed historic averages. Large-scale analyses confirm this potential. A 2024 meta-analysis of 22 studies found most AI applications focused on predicting surgical duration. Jiao et al., using data from 70,000 operations across eight institutions (including 3,289 urology cases), showed their modular neural network predicted overruns with 89% accuracy, surpassing Bayesian models and reducing risks linked to anesthesia handovers. While AI in consumer spaces is familiar, its use in urology is expanding rapidly. Administrative costs may only be a fraction of spending but streamlining them with AI can yield major benefits. Still, physicians must exercise oversight to safeguard patient safety as algorithms evolve and adoption widens.