AI Impact · Retirement Hub · June 2026
Does AI Productivity Save Social Security? A Trust-Fund Solvency Calculator
The 2024 Social Security Trustees Report projects the Old Age and Survivors Insurance (OASI) trust fund will be depleted in 2033, at which point scheduled benefits would be reduced to 79% of promised levels absent legislation. Goldman Sachs' March 2023 AI note projected US productivity growth could rise by 1.5 percentage points per year over a decade. This calculator runs the implied trust-fund solvency under three productivity scenarios using the SSA Trustees' own sensitivity tables.
By Retirement Hub — AI Impact on Retirement · Updated 2026-06-21 · Educational only — not financial, tax, or investment advice.
Social Security's funding shortfall is a productivity-and-demographics problem. The 2024 SSA Trustees Report (Table V.B1) projects OASI trust-fund depletion in 2033 at intermediate assumptions, after which payroll-tax income alone would cover roughly 79% of scheduled benefits. The Disability Insurance fund is in better shape; the combined OASDI fund is depleted in 2035. Closing the gap requires either higher payroll tax (a roughly 3.5% increase in the OASDI rate), a lower scheduled benefit (about a 21% across-the-board cut), or — the third lever this page models — higher economy-wide productivity growth.
Goldman Sachs' March 2023 note projected that generative AI could lift US labor productivity growth by ~1.5 percentage points per year over a decade. McKinsey's July 2023 work-in-America report put the figure at 0.5–3.4 percentage points depending on adoption speed. The Congressional Budget Office's August 2024 long-term economic outlook used a more conservative central estimate of 0.4 percentage points. None of these is a forecast; all are scenarios.
Productivity helps Social Security in two ways: higher real wages mean higher payroll-tax receipts (the system is mostly self-funded from a 12.4% combined-employer-and-employee tax on wages up to $168,600 in 2024); and higher GDP means lower benefit-cost-to-GDP ratios. Productivity does not help if it accrues entirely as capital income (above the payroll-tax cap) rather than as wages. The table below shows three scenarios: pessimistic (AI gains are real but capital-captured), midpoint (CBO baseline + 0.4 pp wage productivity), and optimistic (Goldman 1.5 pp passed through to wages). This pairs with the companion blog: AI and the Future of Social Security for the policy context.
OASI trust-fund depletion year under three AI-productivity scenarios
| Scenario | Annual wage-productivity boost vs CBO baseline | Pass-through to wages (vs capital) | Implied OASI depletion year | Long-run shortfall (% of payroll) |
|---|---|---|---|---|
| SSA Trustees 2024 baseline (no AI uplift) | 0.0 pp | n/a | 2033 | 3.50% |
| CBO 2024 long-term outlook | +0.4 pp | 100% to wages (CBO assumption) | 2034–2035 | ≈ 3.10% |
| Pessimistic (AI gains, capital-captured) | +1.0 pp GDP, 0 pp wages | 0% to wages | 2033 (no change) | 3.50% (no improvement) |
| Midpoint AI (pass-through) | +1.0 pp wages | 100% | 2036–2037 | ≈ 2.55% |
| Optimistic AI (Goldman, full pass-through) | +1.5 pp wages | 100% | 2038–2040 | ≈ 1.80% |
Sources: 2024 OASDI Trustees Report Table V.B1 + Table VI.G2 sensitivity analysis; CBO Long-Term Budget Outlook (August 2024); Goldman Sachs Global Investment Research, March 2023; McKinsey Global Institute July 2023. 'Implied depletion year' uses the SSA Trustees' own productivity-sensitivity table: each 0.5 pp increase in real-wage growth extends OASI solvency by roughly 2 years and reduces the long-run actuarial shortfall by ~0.5 pp of taxable payroll. The pessimistic scenario assumes AI productivity gains accrue entirely above the payroll-tax cap or to non-wage income; Acemoglu & Restrepo (2022) argue this has been the historical pattern for capital-biased technologies.
Why the optimistic case is not the central case
The historical record on technology-driven productivity gains accruing to wages is mixed. From 1973 to 2018, US labor productivity rose 138% while typical-worker compensation rose 35% (Economic Policy Institute, State of Working America). The Acemoglu & Restrepo 2022 paper 'Tasks, Automation, and the Rise in US Wage Inequality' found that automation-driven productivity since 1980 explains a majority of the rise in US wage inequality, with most gains going to high-skill workers and capital.
If AI follows that pattern — broad productivity gains concentrated in capital income and the top wage decile — the Social Security trust fund sees relatively little benefit because payroll tax stops at the cap. The 2024 cap is $168,600. Earnings above that contribute zero to OASI. A scenario where AI doubles incomes of the top 1% (mostly above the cap) while leaving median wages flat would produce trillions in GDP gains and roughly no improvement in trust-fund solvency.
Three policy levers that interact with AI productivity
Raising the payroll-tax cap. The Bipartisan Policy Center's 2024 Social Security analysis estimates that eliminating the cap on the employee side would close roughly 60% of the long-run shortfall on its own — independent of any AI productivity assumption. Combined with even the pessimistic AI scenario, this would solve the funding gap.
Raising the Full Retirement Age. Each one-year increase in FRA reduces the long-run shortfall by roughly 0.5 pp of taxable payroll (SSA actuarial memo). If AI longevity gains are real (see AI longevity extension calculator), this becomes both more politically defensible and more actuarially impactful.
Means-testing or progressive PIA bend points. Changing the second bend point in the PIA formula from 32% to 27% above $7,078/month average indexed monthly earnings (2026 levels) would close ~1.5 pp of the shortfall. This is the most progressive of the three levers but the most politically contested.
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Frequently asked questions
What happens if Congress does nothing and the trust fund is depleted?+
Under current law, scheduled benefits would be reduced to 79% of promised levels in 2033 (OASI) and 83% by 2035 (combined OASDI). This is not a default; it is an automatic adjustment built into the program. Historically, Congress has acted before trust-fund depletion every time (1977, 1983) but the political math is much harder this cycle.
Is AI productivity already showing up in the data?+
Not yet at the macro level. Q1 2026 BLS productivity data showed nonfarm business labor productivity growth of about 2.0% year-over-year — within historical range, not above it. Stanford HAI's 2024 AI Index notes that firm-level case studies show 20–40% task-level productivity gains in customer service, software engineering, and content creation, but the aggregate signal is still inside the noise band.
Does means-testing Social Security count as a benefit cut?+
Technically and legally yes; politically it depends. The Bipartisan Policy Center notes that progressive PIA reform reduces benefits only for the top ~25% of lifetime earners; for the bottom 75%, benefits are unchanged or slightly higher. Most major Social Security reform plans (Bowles-Simpson, Domenici-Rivlin, Diamond-Orszag) include some version.
How should I plan personally given this uncertainty?+
Use the SSA Trustees' intermediate assumption (2033 OASI depletion → 79% benefits) as the central case. Run the Social Security Estimator at both 100% and 79% of currently scheduled benefits to see the range. If your retirement plan only works at 100% scheduled, you don't have a retirement plan — you have a bet.
Sources
- 2024 OASDI Trustees Report (full report + Table V.B1 + sensitivity Table VI.G2)
- Congressional Budget Office — The Long-Term Budget Outlook (August 2024)
- Goldman Sachs — The Potentially Large Effects of AI on Economic Growth (March 2023)
- McKinsey Global Institute — Generative AI and the Future of Work in America (July 2023)
- Acemoglu & Restrepo — Tasks, Automation, and the Rise in US Wage Inequality (Econometrica 2022)
- Bipartisan Policy Center — Securing the Future of Social Security (2024 update)
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