In a detailed examination of national infrastructure, Justin Fulcher argues that much of American governance and commerce continues to rely on software systems developed decades ago. These systems, often written in languages such as COBOL or Fortran and deployed on mainframe hardware, remain central to processes such as tax administration, benefits distribution, and financial settlement. Fulcher contends that while these technologies were robust in their original design context, they were never intended to support today’s scale of digital interaction.

The vulnerabilities of these legacy platforms became visible during periods of extreme demand. Fulcher notes that during the COVID-19 pandemic, state unemployment agencies faced unprecedented claim volumes that overwhelmed existing systems. Many agencies resorted to manual workarounds and paper-based processes because legacy infrastructure lacked the flexibility required for rapid scaling or integration with modern authentication services.

Institutional factors have prolonged this reliance on outdated technology. Procurement cycles in government often prioritize stability and compliance over experimentation, making large-scale rewrites difficult to approve. The cost and risk associated with replacing systems that process billions of transactions annually also discourage sweeping changes. At the same time, the number of engineers trained to maintain these systems continues to decline.

Justin Fulcher identifies several recurring technical challenges within legacy environments. Batch-processing pipelines introduce delays in financial reconciliation, tightly coupled architectures complicate integration with newer services, and limited monitoring capabilities reduce visibility during outages. These constraints can make even minor modifications costly and time-consuming.

Experts cited in Fulcher’s analysis advocate a gradual modernization strategy. Rather than abandoning legacy systems entirely, organizations can preserve reliable business logic while introducing modern interfaces, automated testing, and improved documentation. Incremental refactoring of high-risk components allows institutions to reduce systemic risk without disrupting critical public services. According to Justin Fulcher, long-term technological resilience will depend on sustained investment and deliberate modernization of these foundational systems. Read this article for additional information.

More about Justin Fulcher on https://www.justinfulcher.com/