The U.S. healthcare system is approaching a tipping point, driven by three converging threats: rising care costs, a growing chronic disease burden, and a physician workforce trained for a rapidly outdated model of care. With national healthcare spending projected to surpass $7 trillion by the end of the decade, incremental policy fixes are unlikely to keep pace with mounting financial and clinical pressures.
As chronic conditions like diabetes continue to drive long-term complications and high-cost care, prevention alone may not be sufficient to offset system-wide strain. In response, generative AI is emerging as a potential force multiplier—automating routine monitoring and decision support in chronic disease management, enabling primary care physicians to focus on complex cases while redistributing specialist workloads toward procedural care.