I meet with health system executives routinely, and I hear very common themes: rising demand for care, a strained workforce and significant cost pressures. Clinicians are stretched. Patients are waiting. Hospitals are working to create more capacity without adding more complexity to a system already struggling to keep up with demand.
This “triple threat” is why the conversation about artificial intelligence (AI) in healthcare is changing – fast. For years, much of the discussion focused on what AI might someday make possible. Today, driven by the pressures on health systems, AI is moving from promise to practice, and it’s beginning to pay dividends.
The AI dividend is becoming visible
The 2026 Philips Future Health Index U.S. report shows an AI dividend emerging in American healthcare. The value is not only operational. AI is helping clinicians regain time, expand capacity, strengthen decision-making and reduce administrative burdens that have weighed on care teams for years. And they are sharing how.
Clinicians say AI saves them time every week. Nearly half (49%) report time savings of at least 132 hours annually on average, or the equivalent of more than three full working weeks. More than one-third (36%) say AI has increased their capacity to see more patients, with a median increase of five additional patients per week. Think about the implications of this at scale.
