The United States Centers for Medicare and Medicaid (CMS) reported that health expenditures reached 4.7 trillion dollars in 2023. As one of the most expensive resources in the healthcare system, the intensive care units (ICUs) are closely monitored for appropriate utilization and adequate staffing. Within this resource, staffing is considered greatly challenging and controversial. Optimal staffing of an ICU is highly dependent on multiple factors, including, but not limited to, availability of trained personnel, educational trainees, acuity of patients, size of ICU, and economic constraints. Therefore, staffing models need to be carefully selected and implemented based on the local setting. The key commodity in ICU staffing is the availability of specialty-trained personnel, which may not be necessarily interchangeable from one specialty unit to another, namely the intensivists and ICU nurses, among others. Thus, to efficiently staff the ICU, attracting and retaining the intensivists requires creative models that may focus on time off and lifestyle factors. The benefits of open versus closed units, high-intensity versus low-intensity models, and the classic academic and 24-hour models are explored to provide the reader with a clear understanding of the benefits of these complex options and associated outcomes. The latest introduction of artificial intelligence support to address these challenges is also discussed.