Centene CEO Sarah London Says AI’s Biggest Health Care Prize Is Better Access, Not Faster Billing

Centene CEO Sarah London says health care’s most valuable AI applications will improve access and outcomes for underserved patients, rather than simply automate administrative work. Speaking at Fortune’s Most Powerful Women Summit, London described much of the current deployment as “inflationary use cases,” including faster billing, automated paperwork and tools that help providers capture more revenue in a fee-for-service system.

Those systems can make organizations more efficient, but London’s test is whether they reduce the underlying cost of care and reach people with the greatest needs. Her argument places Medicaid at the center of the debate because Centene, a roughly $33 billion insurer and the country’s largest Medicaid managed-care provider, serves populations that often receive new medical innovations later than wealthier patients.

Medicaid patients often benefit last from health care innovation because investment follows higher-paying markets. London said most venture funding goes where the money is, while “the money isn’t in Medicaid,” leaving underserved communities without early access to new tools and services.

That funding pattern matters as states and insurers confront strained budgets, provider shortages and uneven access to care. Coverage itself doesn't guarantee a nearby clinician, timely appointment or help navigating a complicated system. Centene’s public profile centers on Medicaid, Medicare and marketplace coverage, while its leadership materials identify London as the company’s chief executive since 2022. Her AI argument therefore connects technology spending to the practical barriers facing members, rather than treating software adoption as an end in itself.

London’s proposed shift is to direct AI toward medical access deserts, where patients face shortages of doctors, transportation, behavioral health services or administrative support. Tools that help people find appropriate care, communicate with health plans and manage treatment could matter more than systems that simply process claims faster.

The distinction also reflects the incentives built into American health care. Revenue-generating automation can expand billing activity without lowering total spending or improving health outcomes. Access-oriented AI would need to be judged by measures such as appointment availability, continuity of care, adherence and avoidable hospital use. Coverage of London’s health care strategy has also touched generative AI and member experience, while separate reporting has examined Centene’s role in helping Medicaid members move into marketplace products when their eligibility or circumstances change.

AI is arriving at Centene as the insurer manages broader changes across Medicaid and the individual insurance market. Medicaid eligibility changes, state budget pressure and coverage transitions can create confusion for members, especially when people must move between Medicaid and marketplace plans.

That environment makes member communication a significant operational challenge. An AI system that helps explain benefits, identify care options or guide a coverage transition could improve the experience, but it also requires careful oversight. Medicaid members may have limited digital access, complex medical needs or little room for an incorrect answer. Reporting on Medicaid cuts and Centene’s marketplace activity places London’s technology priorities within a business facing policy and enrollment pressure, not in a laboratory separated from those constraints.

The success of Centene’s AI strategy will depend on whether members experience measurable improvements, not on how many back-office tasks the company automates. That means evaluating systems for accuracy, accessibility, privacy, bias and escalation to human staff when a case is medically or financially complex.

The stakes are high for Medicaid populations because an erroneous answer can delay treatment, disrupt coverage or send a patient to a provider who cannot meet their needs. London’s emphasis on underserved communities gives Centene a clear strategic direction, but implementation will determine whether that direction produces better care. The company’s leadership and health access initiatives frame the opportunity as a distribution problem: innovation has to reach patients who have historically been last in line.

Centene’s next challenge is turning London’s principle into concrete programs with public results. The company will need to show where AI is being used, which members benefit and whether access, quality or cost improves compared with existing processes.

The broader health care industry faces the same choice. Providers and insurers can spend first on tools that increase transaction speed and revenue capture, or they can direct investment toward patients who encounter the greatest barriers to care. London’s position makes Medicaid a practical proving ground for that decision, while the company’s work across Medicaid, Medicare and marketplace products gives it several points at which access-focused AI could be tested.