Written By: Ethan Copple, Ph.D.
A familiar story is playing out across American industry: Manufacturers cannot find experienced machinists, engineering teams search for mid-career talent and come up empty. The diagnosis is predictable: a skills gap, a labor shortage, a workforce that is somehow not aligned with demand. Yet this framing misses something more structural. The issue is not simply a shortage of workers, but a shortage of experienced workers, and a system that is no longer reliably producing them.
At the center of this breakdown is a coordination problem that is rarely named but widely felt. Workforce development increasingly resembles a version of the tragedy of the commons, A shared pool of skilled, experienced workers benefits every firm in an industry, yet each individual firm has a strong incentive to free-ride, avoiding the private costs of training while still drawing on the common resource. In this case, the cost is training. The benefit is a steady supply of skilled, experienced workers. The tension between private incentives and collective outcomes is beginning to define the labor market in ways that are not yet fully recognized.
In many industries, becoming useful takes time. A junior machinist, technician, or engineer does not immediately contribute at full productivity. They require supervision, mentorship, and room to make mistakes that carry real costs. Training is not simply an investment with delayed returns; it is often a temporary drag on output, one that must be absorbed before it pays off. Historically, firms internalized this process. Large manufacturers ran apprenticeship programs. Engineering organizations hired junior employees with the expectation that they would grow into more capable roles over time.
That model has eroded. Firms now operate in a different incentive environment, shaped by more fluid labor markets and shorter planning horizons. Workers change jobs more frequently, and the benefits of training are less likely to be captured by the firm that pays for it. A company that invests in a junior employee may find that, just as that worker becomes highly productive, another firm hires them away. The returns to training are therefore uncertain and often externalized. Faced with this reality, many firms rationally choose to avoid training altogether and instead attempt to hire workers who already possess the necessary experience.
Individually, this decision makes sense. Systemically, it produces a failure mode. The workforce begins to depend on a pool of experienced workers that is no longer being replenished at the same rate. The pipeline narrows because fewer individuals are moving through the stages required to reach higher levels of skill and responsibility. This depletion is compounded by inflation, which has steadily eroded real wages. Employers now face a double squeeze: they must pay premium compensation to attract the shrinking supply of mid-level talent, while workers see their real earnings stagnate and their pathways to higher skills and pay effectively blocked. The result is a labor market that appears to unravel from both ends at once.
If this dynamic feels familiar, it is because its effects are already visible in today’s labor market. Employers report difficulty hiring while job seekers report difficulty finding work. Entry-level roles increasingly require prior experience, and mid-level roles remain unfilled for extended periods. Positions exist and applicants exist, but the match fails. This disconnect is often attributed to mismatched expectations or insufficient skills, yet it also reflects a deeper issue in how experience itself is produced.
Pandemic Labor Pipeline Disruptions
The pandemic marked an inflection point in this process. During COVID-19, many firms paused or reduced hiring, particularly for junior roles that require significant onboarding and training. Programs designed to develop early-career workers were cut, delayed, or deprioritized as organizations focused on maintaining core operations under uncertainty. At the same time, a portion of the experienced workforce exited the labor market through early retirement or career changes. The result was a subtle shift in the structure of the pipeline: fewer junior workers entered, fewer accumulated experience, and progression slowed.
Several years later, the effects are becoming more apparent. Firms are now attempting to hire workers with experience that, in many cases, was never developed. The phenomenon of entry-level jobs requiring prior experience is not simply a frustration for job seekers. It is a signal of a system that has begun to consume its own pipeline.
AI and Future Disruptions
Layered on top of this dynamic is a newer force that further complicates the picture. Advances in automation, software, and AI systems are beginning to reshape how firms think about junior labor. When faced with the choice between investing in a worker who may take years to become productive and may ultimately leave, or adopting a tool that reduces the need for that role altogether, the latter increasingly appears attractive. This is particularly true for tasks that have traditionally served as entry points into a profession, where learning occurs through repetition and gradual exposure to more complex responsibilities.
The effect is not that automation replaces entire occupations, but that it compresses the lower end of the experience ladder. Fewer entry-level roles are created, fewer opportunities exist to accumulate practical knowledge, and the process of becoming experienced slows down. In this way, automation does not simply affect current labor demand. It also shapes future labor supply by altering how experience is formed.
The consequences of these shifts are not immediate. A firm that avoids training may improve its short-term efficiency. Costs are lower, output per worker may increase, and there is little immediate indication that anything is wrong. Workforce systems, however, operate on longer timelines. Developing a skilled machinist or an experienced engineer takes years, often a decade or more. When training is underprovided, the impact emerges later, as a shortage of experienced workers that cannot be quickly addressed.
This is the lag that defines the current moment. Many industries are now attempting to hire talent that would have required sustained investment years earlier. What appears to be a sudden shortage is, in reality, the result of decisions that accumulated gradually over time.
What the Future Holds
If current incentives persist, the likely outcome is not a simple shortage but a bifurcation. On one end, a relatively small group of highly experienced workers becomes increasingly scarce and valuable, able to move between firms that compete for their skills. On the other, a larger group of workers struggles to gain the experience necessary to advance, facing limited entry points and fewer structured development pathways. The middle, where workers transition from novice to expert, begins to thin out.
For firms, this creates a paradox. Avoiding training is rational in the short term but destabilizing in the long term. As the supply of experienced workers tightens, hiring becomes more difficult and more expensive. The system grows more fragile, even as individual firms continue to optimize for immediate efficiency. For workers, the implications are equally significant. Without accessible pathways to build experience, mobility declines and career trajectories become more constrained.
Framing this dynamic as a labor shortage obscures the underlying mechanism. The issue is not simply that there are too few workers, but that the system is not generating the right kind of workers over time. More importantly, it is not clear that market incentives alone will correct this imbalance. This commons problem does not resolve itself automatically. It requires either coordination among firms or institutions capable of internalizing the benefits of training that individual firms are reluctant to bear.
Changing Incentives to Fix the Pipeline
Public-Private Partnerships
Public-private partnerships coordinate training across stakeholders, diluting poaching risks and rebuilding pipelines. By aligning employers, community colleges, intermediaries, and government, these models share apprenticeship standards, recruitment, and funding that help spread costs and benefits. Regional manufacturing consortia like North Carolina’s Apprenticeship 2000 or Wisconsin’s Regional Training Partnership show success: firms collaborate on curricula and mentorship, supported by state incentives, to increase the likelihood trained workers remain in the regional ecosystem and spread costs. In healthcare, programs like the Healthcare Career Advancement Program (H-CAP) help coordinate employer-funded training and career pathways. These structures turn training from a unilateral burden into a sector-wide strategy for stability through collective action.
Firm-Level Mechanisms
Firms can address mismatched incentives internally with tools that boost retention and recoup costs. Deferred compensation, such as loyalty bonuses, vesting equity-like incentives, or clawback provisions for early departures tie investment recovery to tenure. Building a reputation as a high-quality trainer with clear advancement paths attracts less poachable talent. These approaches extend planning horizons to sustain investment in experience formation.
Policy Interventions
Policy can realign incentives through fiscal tools and reforms that subsidize training or tie support to outcomes. Tax credits, such as the proposed Apprenticeship Infrastructure Tax Credit Act of 2025 ($3,000 per retained apprentice in critical infrastructure industries) [1] or state expansions (Louisiana’s 2026 Work-Based Learning Credit [2], Colorado’s up to $12,600 in emerging industries [3]), offset costs and poaching risks. The Department of Labor’s 2026 Pay-for-Performance program ($145 million) rewards sponsors for enrollment, completion, and retention [4].
Reforms to existing systems, such as the Workforce Innovation and Opportunity Act (WIOA) [5], could further prioritize sector-based, multi-employer training models that better reflect how labor markets actually function. Conditioning industrial subsidies on workforce development commitments would also align capital investment with human capital formation. Taken together, these approaches move training from an individual firm decision toward a shared infrastructure, where the benefits of participation are more closely matched with the costs.
These tools have proven most effective for apprentice and trade roles, yet they offer limited support for white-collar development, the very area now receiving the brunt of AI-driven compression of entry-level tasks and experience ladders. Without parallel mechanisms to rebuild pipelines in engineering, software, and other professional fields, this commons problem will persist, and the overall erosion of the talent pool will continue.
The Near Ubiquity of Labor Pipeline Issues
This dynamic cuts across the sectors that define American industrial capacity. Manufacturing and shipbuilding face it in the machinists and welders needed to rebuild production. Energy faces it in the nuclear operators, grid engineers, and tradespeople required to expand power capacity. Even the AI and compute buildout is already constrained by the same pipeline of datacenter technicians, fab workers, and the engineers, software developers, and infrastructure specialists whose entry-level and mid-career roles AI itself is starting to compress. These are not separate workforce problems; they are the same structural failure showing up across every sector tied to national capacity.
It also intersects with broader industrial policy efforts that aim to expand production capacity, reshore supply chains, and rebuild domestic industry. These initiatives often assume the availability of a workforce capable of operating new facilities and technologies. Yet workforce capacity is not simply a function of headcount. It depends on time, training, and accumulated experience, all of which are slow-moving and difficult to scale on demand.
Conclusion
The central question, then, is not whether more workers are needed, but whether the system that produces experienced workers is still functioning as intended. At present, the answer appears uncertain. Firms face strong incentives to avoid training, technological alternatives reduce the need for entry-level roles, and the consequences of underinvestment remain delayed enough to avoid immediate correction. The result is a system that appears functional in the present while quietly eroding its own future capacity.
In this sense, the workforce shortage is not a sudden disruption but a pipeline problem already in motion. Its early signs are visible in today’s labor market, where experience is both demanded and scarce. Over a longer horizon, the effects are likely to become more pronounced, as the gap between the need for experienced workers and the system’s ability to produce them continues to widen unless coordinated solutions take hold to realign incentives and restore the flow of talent.
The policy conversation has treated workforce development as a downstream concern, something that follows capital investment rather than enables it. That sequencing is backwards. Capital investment and workforce capacity are mutually reinforcing: without a functioning pipeline of experienced workers, new industrial facilities cannot be staffed at scale, and without sustained training, the pipeline itself collapses. The United States cannot rebuild its industrial base on a pipeline that no longer functions. Every major industrial initiative of the past five years—CHIPS, the Inflation Reduction Act, shipbuilding, and nuclear expansion—has run into the same wall: the experienced workforce does not exist, and the system to produce it has been allowed to erode. Future projects that fail to address and incentivize workforce strategy upfront are doomed to underdeliver. The country needs an explicit framework that treats experience formation as national infrastructure, with the same seriousness, planning horizon, and sustained public investment given to the facilities themselves. Subsidies for fabs, shipyards, reactors, and datacenters cannot be separated from the workforce question. In critical industrial sectors, they are the workforce question.
