The Impact of Artificial Intelligence on Social Security Funding

A recent report by Barron's highlights the potential negative effects of artificial intelligence (AI) on the Social Security Administration (SSA), which is already projected to face a funding gap by 2033. As AI and automation increasingly replace human jobs, the payroll tax base that funds Social Security could shrink, threatening benefits for current and future beneficiaries.

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Social Security is primarily financed through payroll taxes collected from workers and employers. These taxes are deposited into trust funds that pay benefits to retirees, disabled individuals, and survivors of deceased workers. The Social Security Board of Trustees has warned that the program's trust fund may be depleted by 2033, at which point only about 77 percent of scheduled benefits could be paid unless Congress intervenes. Analysts have indicated that job displacement due to AI could exacerbate this issue by reducing the number of workers contributing to the payroll tax system.

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Research from the Penn Wharton School indicates that jobs most vulnerable to AI replacement include administrative roles, sales, management, and legal positions, while sectors like construction and farming are less likely to be affected. The McKinsey Global Institute estimates that up to 30 percent of work hours in the U.S. could be automated by 2030, potentially leading to significant job losses. Alex Beene, a financial literacy instructor, emphasized that if AI negatively impacts employment as anticipated, it could lead to a rapid decline in revenue for Social Security.

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Kevin Thompson, CEO of 9i Capital Group, acknowledged that while AI will disrupt the labor market, it may also create new job opportunities, similar to past technological advancements. He stated, “AI will absolutely disrupt the labor market, but not all disruption is negative.” However, he cautioned that without legislative action, the shortfall in Social Security funding could jeopardize benefits for millions. Jen Burdick, an attorney at Community Legal Services, pointed out that as AI takes over tasks, the workforce size diminishes, further impacting payroll tax contributions.

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Despite ongoing discussions among policymakers about potential solutions—such as raising payroll taxes or diversifying funding sources—no legislation specifically addressing AI's impact on Social Security has advanced in Congress. Thompson noted the urgency for lawmakers to rethink funding strategies for the system, stating, “I don’t see AI as a harbinger for Social Security, but I do see it accelerating the need for serious conversations in Washington.”

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• “If the upcoming gap in Social Security funding at the end of this decade wasn't concerning enough, now current and future beneficiaries have growing worries on the effects of AI on the program, as well,” — Alex Beene, Financial Literacy Instructor

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• “ Jen Burdick, an attorney at Community Legal Services of Philadelphia, helping people claim Social Security disability benefits, per Barron's: “The more AI is removing large tasks, obviously that affects the workforce size.” — Jen Burdick, Attorney at Community Legal Services

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• “Give it three to five years, and there will be what we expect to be significant job displacement.” — Lily Vittayarukskul, CEO of Waterlily

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As AI continues to evolve, its implications for Social Security funding and the labor market will require urgent attention from lawmakers. The need for comprehensive discussions on how to sustain the program amidst these technological changes is critical to preserving benefits for future generations.

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