America Ought to Be a Nation of Dreamers & Builders, Not a Shelter for Entitlement Addicts
The Liberal Vote Proviso: Subsidizing Entitlement to Buy Constituents
The American administrative state did not become inefficient in a sudden or dramatic way. It expanded gradually, layering programs, rules, and personnel over time until the structure itself began to drive how government operates. What exists now is not simply a large system, but one that allocates a substantial share of its capacity to managing transfers, enforcing eligibility, and sustaining its own internal processes. This accumulated structure also limits the system’s ability to adapt to technological change, particularly in areas where automation and AI could replace routine administrative functions but are instead constrained by existing institutional design.
The scale is measurable. The federal workforce is close to three million people, including civilian employees and quasi-public entities. At the same time, federal spending is dominated by transfer programs. Social Security and Medicare alone account for well over a third of total federal outlays, with Medicaid and other income-support programs adding hundreds of billions more annually. In parallel, the tax code functions as a delivery system for benefits, with tax expenditures exceeding $2 trillion each year. Each of these mechanisms requires administrative oversight—verification, processing, auditing, and compliance—creating a system where a large portion of activity is tied to moving resources rather than producing goods or direct services. The practical implication is that institutional capacity is absorbed by maintaining eligibility systems rather than improving output, which directly constrains innovation by diverting labor and attention toward administrative maintenance.
Oversight institutions have consistently documented how this structure operates in practice. The Government Accountability Office has identified dozens of areas where federal programs overlap or duplicate one another, particularly in sectors like workforce development, housing assistance, and food programs. These are not isolated inefficiencies; they reflect how policy accumulates. Programs are added to address specific issues, but rarely removed or consolidated, resulting in parallel systems that require separate administration even when they target similar populations. The persistence of this fragmentation over more than a decade of reform attempts suggests that the system does not lack awareness of inefficiency—it lacks the structural ability to eliminate it without external pressure.
“Keep an eye on one thing only: How much the government is spending. Because that’s the true tax [you’re paying].”
—Milton Friedman, Nobel Prize-winning economist
The operational burden extends beyond government itself. Individuals interacting with these systems face procedural requirements that can be difficult to navigate. Studies on administrative burden show that time costs, documentation requirements, and fragmented access points reduce participation even among those who qualify for benefits. Research on programs such as the Supplemental Nutrition Assistance Program and the Earned Income Tax Credit has found that a meaningful share of eligible individuals do not receive benefits, in part because of complexity in application and verification processes. The system therefore produces both administrative cost and incomplete reach at the same time. This dual failure—high overhead and incomplete delivery—is a defining feature of systems that rely on process-heavy administration rather than simplified or automated design.
The internal logic of administration also shapes how success is defined. Measures that are easiest to track—participation levels, disbursement amounts, compliance rates—become dominant indicators, even when they do not directly capture whether underlying policy goals are being achieved. This creates a feedback loop where expansion can occur without clear resolution of the problems programs were designed to address. As a result, administrative systems tend to optimize for sustaining activity rather than improving performance, which further entrenches the need for large administrative staffing levels.
The structure itself was built for a different operating environment. Traditional public administration relied on hierarchical control, standardized procedures, and manual processing to maintain consistency. Those design choices reflected real constraints at the time. Information moved slowly, data integration was limited, and large-scale coordination required rigid systems. Many of the functions that currently absorb administrative capacity—application intake, eligibility verification, transaction processing—were historically labor-intensive and could not be executed differently.
That constraint no longer exists in the same form. Advances in data systems, automation, and machine learning allow many of these functions to be executed with far less manual intervention. Financial institutions, logistics companies, and large-scale retailers have already demonstrated how transaction-heavy systems can operate with dramatically smaller administrative workforces relative to volume. The government has adopted elements of these technologies, but often without reducing the underlying structure that preceded them. As a result, new systems are frequently added alongside existing processes rather than replacing them. This is precisely the inefficiency current reform efforts are attempting to confront: technology alone does not reduce bureaucracy unless the workforce and structure built around pre-digital constraints are actively scaled down.
This dynamic has implications for how the workforce is structured. A system built around routine processing tends to retain roles even when the underlying tasks change. Hiring, classification, and promotion frameworks reinforce continuity, which makes large-scale redesign difficult to execute. Over time, functions persist because they are embedded in organizational structures, not because they remain necessary at their original scale. This is why recent workforce reduction efforts—particularly under the Trump administration—have focused on attrition, hiring constraints, and reclassification of administrative roles: without reducing the number of personnel tied to routine processing, automation cannot displace bureaucracy and instead becomes an additional layer on top of it.
The political environment reinforces this pattern. Programs create constituencies, both among beneficiaries and within administrative organizations. Changes that reduce complexity or consolidate functions can encounter resistance because they alter established arrangements. Incremental additions are easier to implement than structural reductions, which contributes to continued growth in layers rather than simplification. This is the structural barrier that initiatives like the Department of Government Efficiency (DOGE) are designed to overcome—namely, the inability of the system to shrink itself even when inefficiencies are clearly identified.
What is emerging now is a mismatch between how the system is organized and what current conditions allow. Technology has reduced the need for labor-intensive administration in many areas, while the system continues to operate as though those constraints remain. At the same time, fiscal pressure has increased. Federal debt held by the public has surpassed 95 percent of GDP, and long-term projections from the Congressional Budget Office show continued growth driven largely by entitlement spending. Administrative efficiency becomes more consequential under these conditions, because even small percentage differences in overhead translate into large absolute amounts. Under these constraints, maintaining a workforce sized for a pre-automation era imposes increasing fiscal and operational costs.
Changes under discussion—workforce adjustments, civil service modifications, expanded use of automation—are responses to that mismatch. Their impact depends on whether they alter the structure itself or are absorbed into it. If new tools are introduced without reducing existing layers, complexity persists. If roles remain defined by legacy functions, the system continues to allocate capacity to activities that technology can now handle more efficiently. This is why workforce reduction and administrative consolidation are directly tied to innovation: without removing excess capacity, the system has no incentive or ability to reorganize around new technological capabilities.
A different configuration would concentrate human effort in areas where judgment, design, and problem-solving are required. Complex case management, policy design, systems integration, and oversight of automated processes fall into that category. These functions do not scale in the same way as routine processing, which changes the composition of the workforce even if the overall mission of government remains intact. Moving in this direction requires shifting away from a large administrative workforce toward a smaller, more specialized and competitive talent pool focused on value-added functions rather than process maintenance.
The current model did not emerge through a single decision, and it is unlikely to change through one. It reflects decades of incremental development under specific technological and political conditions. Those conditions have shifted. The structure has not fully adjusted. Efforts such as DOGE and federal workforce reductions should therefore be understood as necessary mechanisms to force that adjustment—because without deliberate contraction of administrative capacity, the system will continue to expand around outdated functions rather than evolve toward innovation.