A nurse in a typical hospital setting often faces a day filled with interruptions, making it difficult to provide timely care. One such scenario involves a cancer patient who requests pain medication, only to experience delays due to a family call, the arrival of a transporter, and a consultation with an endocrinologist. These interruptions not only slow down the care process but also lead to frustration, as seen when a family member sarcastically comments on the nurse’s pace. This highlights the immense pressure nurses face in a high-stakes, fast-paced environment. The nursing profession is currently facing a severe shortage, with the Health Resources and Services Administration predicting a shortfall of 267,330 registered nurses (RNs) by 2028. Nearly 40 percent of current nurses plan to leave the field by 2029, according to National Nurses United, which attributes this trend to a lack of investment in safe and quality patient care. A recent analysis suggests that improving nurse staffing levels—by reducing the number of patients each nurse is responsible for—could save up to $720 million over two years. The growing use of artificial intelligence (AI) in healthcare has raised concerns among nurses about job security and patient safety. McKinsey & Company estimates that AI could save between $200 billion and $360 billion annually in U.S. healthcare, but this could come at the cost of job losses. At Montefiore Hospital in the Bronx, 12 nurses were laid off and replaced by AI software for utilization review. Nurses like Shaiju Kalathil worry about the untested capabilities of AI in healthcare and stress the need for thorough evaluation before implementation. While the hospital acknowledges its investment in new technology, it has not confirmed that AI directly caused the layoffs. Nurses across the country are also raising concerns about the accuracy and reliability of AI tools. Julia Truelove, a nurse in Washington, D.C., reported that her hospital implemented an AI sepsis-detection tool without consulting the nursing staff, leading to frequent false alerts. Similarly, Adam Hart, a nurse at Dignity Health, encountered a situation where an AI recommended a potentially dangerous treatment for a septic patient on dialysis. Although hospital officials claim AI should support—not replace—clinical judgment, the use of AI in critical care remains controversial. A recent study in the Journal of the American Medical Association found that an AI sepsis tool performed worse than standard clinical practices, casting doubt on its real-world effectiveness.