Couple of years ago, I published an article about therapeutic inertia in diabetes care. I was hoping that to bring awareness to the problem of healthcare failure to initiate or intensify medical treatment when the patient's goals are not met. With the initiation of CGM devices, once daily GLP-1 receptor agonists, and the acceptance of newer therapies in diabetes into various formularies, I thought that the problem would be reduced. In practice, I still observe therapeutic inertia in diabetes care. However, in institutions and clinics where DCES practice, I observed fewer incidents. The acceptance of AI into primary care has the potential to revolutionize our outlook at therapeutic inertia. This model of care using AI can assist DCES to reduce administrative tasks , enhance diagnostic support, and increase time spent in direct patient care. I believe that the AI enabled ability for ambient documentation and predictive analytics in primary care would reduce therapeutic inertia significantly and improve patient outcomes.