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This article was generated using artificial intelligence (LMStudio) on 2025-03-29T22:49:24.750987. The original article can be found at https://www.wired.com/story/doge-rebuild-social-security-administration-cobol-benefits/.
The Department of Government Efficiency (DOGE) is reportedly initiating an effort to modernize the Social Security Administration’s (SSA) computer systems. This initiative involves migrating these systems away from COBOL, a legacy programming language, and transitioning them to a more contemporary platform such as Java. The project, spearheaded by Steve Davis, who has affiliations with Elon Musk, aims for completion within a relatively short timeframe – reportedly spanning only a few months.
COBOL has been utilized in SSA’s systems for decades and is integral to the processing of Social Security benefits. Modernizing this infrastructure is generally recognized as a complex task, even under ideal conditions. The accelerated timeline proposed by DOGE has raised concerns among experts regarding potential risks to the stability and functionality of the SSA’s critical operations.
The scale of the undertaking – encompassing all SSA systems – presents significant technical challenges. A rushed migration increases the possibility of unforeseen errors that could impact benefit payments. One SSA technologist, speaking anonymously, highlighted a particular concern: the risk of undetected payment discrepancies, including instances of benefits being withheld or applied incorrectly without immediate notification to the affected individual.
The potential consequences extend beyond simple overpayment or underpayment issues; the primary worry is the possibility of systemic failures that could prevent benefit distribution altogether, with errors going unnoticed for extended periods. This disruption could affect the more than 65 million Americans currently receiving Social Security benefits.
As of this writing, the Social Security Administration has not issued a formal statement regarding this proposed modernization effort and its potential impact.
Original author: Makena Kelly