The Manufacturing Labor Shortage
What Changed from 2024 to 2026 and Why Packaging Automation Is Now Essential
When we first published this article in mid-2024, the manufacturing labor shortage was already hurting production floors across the country. Two years later, it hasn’t eased. Three forces that barely registered in 2024 are now reshaping the problem: tariffs driving a wave of reshoring, a commodity labor pool shrinking under stricter immigration enforcement, and a manufacturing skills gap that widens every time a company adds automated packaging equipment without workers trained to run it.
Common Questions
The manufacturing labor shortage is the persistent gap between open manufacturing positions and qualified workers available to fill them. A Deloitte and Manufacturing Institute study projects manufacturers will need 3.8 million new workers by 2033, with nearly 1.9 million positions at risk of going unfilled. An aging workforce, cultural shifts away from trades, reshoring demand, and stricter immigration enforcement are all contributing factors.
The manufacturing skills gap refers to the mismatch between the technical skills employers need and what available workers offer. The general commodity labor shortage is about too few workers. The skills gap is about qualifications. There aren’t enough people who can program PLCs, maintain automated packaging equipment, troubleshoot servo drives, or optimize an automated packaging line. Closing this gap requires targeted training and certification programs, not simply more hiring.
Two ways. Higher material costs from tariffs compress margins, leaving less room for wage increases. At the same time, tariffs are accelerating reshoring as companies bring production stateside to avoid import penalties. The Reshoring Initiative reports that tariffs were cited as a reshoring motivator 454% more often in early 2025 than in 2024. Manufacturers end up paying more for labor and more for materials simultaneously, making packaging automation the primary lever for maintaining profitability.
Packaging automation uses equipment like case erectors, palletizers, automatic stretch wrapping machines, labeling systems, and integrated packaging line automation to handle repetitive, physically demanding packaging tasks that are hardest to staff reliably. By automating these roles, manufacturers reduce dependence on a structurally short-staffed labor market, stabilize production output, and free skilled workers for higher-value positions.
The highest-impact automated packaging equipment targets roles with the worst turnover and the most production vulnerability: automatic stretch wrapping machines (replacing manual pallet wrapping), case erectors and sealers (replacing hand-assembly), palletizers (replacing manual stacking), fully integrated automated packaging lines, and food packaging automation systems for processing environments. The right equipment depends on where your operation loses the most labor hours and suffers the most disruption from staffing gaps.
A Lifestyle Spending Account is a flexible, employer-funded stipend workers apply toward expenses that matter most to them: fuel, childcare, education, tools, and wellness. Unlike traditional benefits packages built around a 401k and health insurance, LSAs address the real-world costs that determine whether a skilled worker takes your offer or the one across town. Industry data shows 93% participation rates among employees with access to LSAs, making them one of the most effective retention tools in a tight manufacturing labor market.
Flexible shifts apply gig-economy principles to the production floor. Workers use mobile apps to opt into available shifts as demand arises. Platforms like Veryable specialize in manufacturing and logistics staffing through this model. This lets manufacturers scale floor staffing without locking into full-time headcount for peak capacity and opens the door to workers who wouldn’t apply for a fixed-schedule factory position.
Simulation platforms let new operators learn automated packaging equipment in a virtual environment before touching the real thing. Research shows this approach can shorten manufacturing learning cycles by up to 60%. Onboarding time drops, training errors happen in simulation instead of on your packaging line, and you can evaluate aptitude before committing extensive on-the-job mentoring time.
Manufacturing requires physical presence. There is no remote option for running an automated packaging line. That puts manufacturers at a structural disadvantage when competing for talent against industries offering work-from-home flexibility. Flexible scheduling, richer benefits (especially LSAs), clear career pathways, and positioning manufacturing as a technology-driven career are the counter-moves producing results.




