The One Big Beautiful Bill Act mandates work requirements for Medicaid expansion adults but leaves enormous discretion to states in implementation. By December 2026, approximately 40 states will operationalize requirements for their expansion populations, and their approaches will differ dramatically based on identifiable political, fiscal, and institutional conditions rather than random variation or pure ideology. Georgia built a zero-friction model with simplified annual reporting after spending over $100 million on failed technology. Arkansas built an enforcement model with monthly online-only reporting that terminated 18,000 people in seven months. Ohio is building an automation-first model using data matching to verify compliance without member action. Where someone lives will shape whether they keep their healthcare, not because their work effort differs but because the systems they navigate differ.
The Variables That Determine State Approaches#
Governors shape implementation more than any other single actor. Kentucky illustrates this at its most dramatic: Matt Bevin pursued aggressive requirements projected to cost 95,000 people coverage; Andy Beshear withdrew the waiver within weeks of taking office; now Beshear is designing implementation to minimize coverage loss through broad exemptions for parents, residents of high-unemployment counties, and people in substance use treatment. Georgia’s Brian Kemp could have pursued aggressive enforcement but accepted zero-friction annual reporting after technology failures, calculating that having a work requirement program was politically valuable while creating coverage loss stories was not. Yet gubernatorial influence operates within constraints. Kentucky’s Republican legislature passed work requirement legislation over Beshear’s veto. Divided government creates tension between what governors want and what they can achieve.
State fiscal conditions create competing incentives. Work requirement implementation demands technology investment at standard 50 percent federal matching, while the expansion population’s healthcare costs enjoy 90 percent federal matching. The fiscal logic favors simple systems: why spend substantial administrative dollars to verify eligibility for programs where the federal government pays most costs? Yet states hostile to expansion face a different calculation, since work requirements that terminate coverage shift costs away from state budgets entirely. States wanting enrollment reduction must invest in systems capable of achieving it, creating the paradox that hostile states may build more capable verification infrastructure than supportive ones.
How states came to Medicaid expansion shapes how they implement requirements on expansion populations. Ballot initiative states present distinctive dynamics: Utah, Idaho, Nebraska, Missouri, and Oklahoma expanded through voter initiatives over legislative opposition, and those hostile legislatures now control implementation for populations they never wanted to cover. Missouri’s legislature refused to appropriate expansion funds after voters approved it, requiring court orders. Late expansion states like North Carolina, which expanded in 2023, must build work requirement infrastructure from scratch with no existing verification systems, no prior experience, and everything to be built by December 2026.
Administrative capacity may prove more important than policy preferences. States with modern integrated eligibility systems can add verification modules relatively easily, while states with legacy systems face fundamental architectural challenges. County-administered states like Ohio (88 counties) and California (58 counties) face coordination challenges centralized systems avoid. Workforce capacity matters: eligibility workers must be trained, call centers staffed, and appeals processed within legal timeframes, all while states face hiring freezes and high turnover.
Regional Patterns#
Appalachian states face structurally problematic conditions where formal employment barely exists. Coal employment collapsed from hundreds of thousands of jobs to under 50,000 nationally. Labor force participation rates in eastern Kentucky are among the nation’s lowest. Requiring employment verification in these communities is not behavioral intervention but administrative pathway to coverage loss. Kentucky’s waiver application includes provisions for counties with unemployment exceeding 150 percent of the state average.
Deep South states share traditions of restrictive welfare administration tracing to the Jim Crow era, though Georgia’s zero-friction evolution suggests pragmatic considerations can override regional tradition when implementation failure becomes embarrassing. Upper Midwest states share pragmatic political cultures that may implement with less ideological intensity, focusing on administrative efficiency. Mountain West states face rural isolation, significant tribal populations, and geographic barriers making urban-designed verification systems structurally inappropriate. Border states face cross-border workforce dynamics that single-state verification systems cannot naturally accommodate.
The Predictive Framework#
Party control matters but is not deterministic. Prior experience strongly predicts future choices, as states with failed implementations avoid repeating them. Administrative capacity constrains options regardless of preference. Population size determines feasibility: Ohio cannot manually verify 700,000 adults, requiring automation, while South Dakota can implement relationship-based approaches. Advocacy ecosystems, litigation risk, and geographic distribution all shape the political calculation. The interaction of these variables produces state-specific predictions that no single factor can explain.
The Bottom Line#
American federalism creates a 50-state laboratory where identical federal mandates produce radically different approaches. The variation in outcomes across states will generate evidence about what works and what fails. The risk is that the laboratory produces harm before producing knowledge. Arkansas’s experiment generated robust evidence that work requirements cause coverage loss without increasing employment, but it generated that evidence by terminating 18,000 people’s healthcare. Whether states learn from Arkansas before replicating its failures is the central question as December 2026 approaches.
Source: MRWR-16A_Political_Economy_State_Variation.md Series 16: The Politics of Implementation GroundGame.Health Research Series on Medicaid Work Requirements