Artificial intelligence is accelerating a long-standing labor-market challenge in the United States: how to help workers transition into better jobs without forcing them to bear all the financial risk. Policymakers and employers routinely emphasize the importance of skills, but the burden of acquiring them often lands on the workers least able to afford it.
A worker aiming for a higher-paying role in health care, advanced manufacturing, IT, or the skilled trades may find a strong training program. Yet the cost, time away from work, and need for childcare, transportation, or income support can be prohibitive—and there is no guarantee the investment will pay off. Employers face a parallel dilemma: they need trained staff now but hesitate to pay for training that may not yield results or that benefits a competitor later.
This is what the Social Finance Institute calls America’s workforce financing problem. Workers need upskilling or reskilling, but often lack the money, time, and debt capacity to pursue it. Public investment in workforce development remains well below levels seen in other industrialized nations, and even the expanded Workforce Pell program leaves major gaps, especially for nondegree or noncredit programs and costs beyond tuition.
In a new paper, the institute explores how outcomes-based repayment models could help bridge that gap—but only if applied carefully. In such arrangements, a third-party funder—government, philanthropy, or private investors—pays training costs upfront. Repayment occurs later, only if the training delivers agreed results like higher earnings or improved retention. This shifts financial risk away from workers and toward funders or providers better positioned to absorb it.
Done right, these models can expand access to quality training and supportive services, help employers build reliable talent pipelines, and recycle scarce public or philanthropic dollars. But done poorly, they can create confusing obligations, unaffordable repayment terms, or finance programs misaligned with employer demand. The key question, the paper argues, is not whether such models are good or bad, but when they are appropriate and what standards should govern their use.
First, clear consumer protections are essential. Workers should not repay until earnings rise above a meaningful threshold. Repayment terms must be limited in amount and duration, written in plain English, disclosed transparently before enrollment, and easy to compare across programs. Second, employers must be part of the bargain—especially in sectors with persistent hiring challenges. They can help repay costs after benefiting from a more skilled workforce and verify hiring, retention, or wage gains.
Third, policymakers and funders must recognize that tuition is rarely the only barrier. Many workers need coaching, job placement, transportation, childcare, or living expenses during training. These supports raise costs but can determine completion and success. Not all programs offer them, especially when private funders seek market-level returns. Finally, training providers must be accountable for outcomes. Weak repayment levels can signal poor program quality or overly optimistic earnings assumptions.
Outcomes-based repayment is not a silver bullet. The paper emphasizes that some workers need more support, some programs serve people with substantial barriers, and some fields don’t produce sufficient earnings gains to justify repayment. The models are most promising where employer demand is strong, trainees have solid basic skills, and protections prevent unaffordable obligations. The country needs disciplined experimentation, rigorous evaluation, and worker protection standards—not a wholesale embrace of one model.
Government can pilot these approaches where labor demand is strong, requiring transparency and evaluation from the start. Philanthropic grants and guarantees can make programs more generous and less risky. Investors should be candid about trade-offs between borrower-friendly terms and returns. Employers can use these structures to solve hiring and retention problems, including through industry-wide partnerships to spread risk.
America cannot build a skills-based economy while financing training as an afterthought. As the Navy Chief warned about potential training cuts amid rising costs, the stakes for workforce investment are high. Outcomes-based models offer a path forward—but only with the right safeguards and political will.
