Artificial intelligence has been described as a revolutionary force in medicine. Most people think of AI diagnosing diseases, designing new drugs, or tailoring treatments to individual patients. While these applications are impressive, the biggest impact AI could have on healthcare costs in the United States may come from something much simpler: reducing administrative work.

Administrative tasks take up a huge portion of the U.S. healthcare system. Hospitals, clinics, and insurance companies spend enormous amounts of time and money on billing, claims processing, prior authorizations, and regulatory compliance. Some estimates suggest that administrative work accounts for nearly a quarter of all healthcare spending in the country. These processes often involve repetitive paperwork, back-and-forth communication between providers and insurers, and complex rules that must be followed precisely.

This is where AI can help. Instead of replacing doctors or directly changing medical treatments, AI can make routine administrative tasks faster and more accurate. Machine learning tools can automatically code medical visits, generate clinical notes, check insurance claims for errors, and handle prior authorization requests. Tasks that once took hours of human effort can now be completed in seconds.

Reducing errors in billing and claims has a direct financial benefit. When claims are submitted incorrectly, providers face delays in payment and must spend additional time fixing mistakes. AI systems can flag potential problems before claims are sent, which reduces errors and speeds up reimbursements. This not only saves money but also allows healthcare staff to focus on patient care instead of paperwork.

Documentation is another area where AI can make a difference. Many doctors spend hours each day entering information into electronic health records. This time takes away from direct patient care and contributes to staff burnout. AI tools can help by automatically summarizing patient visits or generating clinical notes from voice recordings. By streamlining documentation, healthcare organizations may need fewer staff for administrative work, and doctors can spend more time with patients.

Even small efficiency gains can have a large impact on costs. Administrative overhead is one of the biggest sources of waste in U.S. healthcare spending. By reducing this waste, AI could help slow the growth of healthcare costs. Hospitals and clinics could redirect resources to patient care, and insurers could process claims faster and more accurately.

One expert in healthcare, Jude Odu, Founder of Health Cost IQ and author of the forthcoming book Model Optimal Care, has highlighted that improving workflow efficiency can save money across the healthcare system without changing clinical outcomes. Streamlining paperwork and claims processes is one way to achieve that goal.

However, AI alone will not solve the broader healthcare pricing problem. The high cost of healthcare in the United States is driven by many factors, including complex insurance plans, fragmented care delivery, opaque pricing, and strict regulations. While AI can make the system run more efficiently, it cannot address these deeper structural issues. Real change will require policy reforms, better coordination among providers, and greater transparency in pricing.

There are also challenges to using AI in healthcare administration. Systems must be carefully monitored to avoid errors, maintain patient privacy, and prevent unfair or biased decisions. Hospitals and insurers need clear oversight and training to ensure AI tools work safely and effectively.

Despite these challenges, the potential benefits are significant. By helping healthcare organizations manage paperwork more efficiently, AI can reduce costs and improve workflow. It can speed up billing, reduce errors, and allow doctors to focus on patient care. While it is not a cure for the United States’ high healthcare prices, it is a practical step toward a more efficient and affordable system.

Artificial intelligence is unlikely to solve every problem in U.S. healthcare, but it offers a realistic opportunity to reduce administrative waste. If healthcare organizations adopt AI tools responsibly, they could save billions of dollars, improve patient experiences, and allow providers to focus more on the care that matters most. In the long run, AI may not fix every cost issue, but it could make the healthcare system easier to navigate and less expensive for everyone.