Abstract The precise and accurate prediction of animal nutrient requirements, feed intake, water intake, environmental impacts, and production efficiency is an essential function of nutrient requirement models when leveraged as tools to enhance the sustainability of livestock production systems. Historically, the legal standard for determining nutrient requirements of livestock within the United States has leveraged the National Academies of Sciences, Engineering, and Medicine (NASEM) nutrient requirement series (formerly referred to as the National Research Council (NRC) models). The objective of this work is to review the present advantages and future needs for the NASEM Beef Nutrient Requirement Models. Due to current production conditions prevalent within the United States beef industry, the adequate prediction of performance outcomes in commercial cattle in group feeding situations is arguably of the greatest importance. However, as the climate changes and interest in new genetics, production strategies, and feeding approaches expand, there will be an increasing need to additionally provide precise and accurate predictions of individual animals based on genetic potential, production system, and climate conditions. The NASEM 2016 Nutrient Requirements of Beef Cattle presented a stepwise improvement in model sophistication and customizability though the inclusion of a number of individually adjustable constants to adapt model predictions to animal performance in production settings, and through the expanded use of mechanistic solutions in estimating nutrient requirements. Another major advancement of this model release was the opportunity to push model updates and fixes as users identify challenges or issues with the model. The capacity to update nutrient requirement models in a more agile manner greatly contributes to the long-term need for more adaptable and flexible ration formulation tools. Although these improvements may enhance usability of the NASEM models, there are some additional opportunities for future iterations, including better capacity to explore individual animal requirements, leverage precision livestock farming technologies, and design rations to adapt animals to climate change.