09/15/2026
Artificial intelligence (AI) offers the potential to improve productivity and reduce waste across the U.S. health care system. Quantifying achievable value from AI technologies can inform organizational strategies and national spending projections. In a recent In Depth, the authors aimed to estimate the annual run-rate net value achievable within 5 years through full adoption of AI use cases across major health care stakeholders and domains without compromising quality or access.
Assuming full use of AI, the authors estimated an annual run-rate net value of 5.7%–10.6% of overall health care spending (US$438.9–US$810.7 billion annually) within the next 5 years without sacrificing quality and access. Use cases where genAI was the leading AI technology accounted for about half of the total opportunity.
Overall administrative expenses could be reduced by 9.4%–19.8% (US$120.1–US$252.0 billion annually). The administrative expense opportunity accounted for 29.8% of the total. Medical expenses could be reduced by 5.0%–8.7% (US$318.8–US$558.6 billion annually) and accounted for the remaining 70.2% of the value opportunity.