Key Takeaways

  • Manufacturers are connecting workforce planning, recruiting, internal mobility, and training across sites.
  • Skills intelligence can help employers identify candidates beyond conventional job titles and credentials.
  • Managed workforce programs offer added capacity, but governance and consistent job definitions remain important.

Manufacturing employers are reworking talent acquisition around skills rather than relying primarily on degrees, previous job titles, or years of experience. The shift reflects a labor market in which unfilled production roles, changing technical requirements, and competition for digital talent increasingly affect capacity planning.

The numbers explain some of the urgency. U.S. manufacturing employed 12.7 million people in September 2025, compared with 17.2 million in 2000, while approximately 409,000 manufacturing positions were unfilled in August 2025 (source). Research from Deloitte and The Manufacturing Institute also suggests manufacturers may need 3.8 million additional U.S. workers between 2024 and 2033. Roughly 1.9 million of those roles could go unfilled if workforce constraints persist.

This is not simply a recruiting-volume problem. Employers are looking for technicians who can work with connected equipment, automated production lines, robotics, industrial data systems, and AI-supported processes. More than one-third of manufacturing executives identify equipping employees with smart-manufacturing skills as a top concern. Meanwhile, 80% plan to direct at least 20% of their improvement budgets toward smart-manufacturing initiatives.

Hiring more people into outdated job architectures will not fully address tomorrow's production requirements. About 40% of manufacturing's core skills are expected to change within five years, according to the World Economic Forum. More than 70% of manufacturers also identify advanced technologies, including generative AI and robotics, as drivers of transformation (source).

Skills-based workforce planning gives employers a different starting point. Instead of opening a requisition for a narrowly defined title, a manufacturer can identify the capabilities required for a production outcome, determine which skills already exist internally, and decide how remaining gaps should be filled. Deloitte's "build, buy, or borrow" model captures the basic options: develop current employees, recruit external talent, or use contingent workers and service partners.

That approach places internal mobility closer to the center of talent acquisition. An employee with maintenance, quality-control, or machine-operation experience may possess many of the capabilities needed for an automation technician role, even if the person has never held that title. A skills inventory can surface those connections and guide targeted training. It can also reduce the tendency to compete externally for every scarce capability.

Technology platforms are becoming part of the operating model. SAP SuccessFactors and Workday illustrate how recruiting, learning, workforce data, and employee mobility can be connected within broader human-capital systems. Eightfold AI represents a skills-intelligence approach that can match people with jobs, projects, and development opportunities based on inferred or documented capabilities. These products differ, but the direction is similar: hiring data is becoming more closely tied to workforce planning.

Still, software alone does not resolve inconsistent job definitions. A "maintenance technician" may require substantially different capabilities at two plants within the same enterprise. Multinational manufacturers also face local differences in qualifications, languages, labor regulation, and data protection. Standardized skill descriptions and job families can provide a common foundation, while regional teams retain control over local requirements.

External workforce programs add another layer. Managed service provider programs can coordinate contingent labor across plants and countries, while functional service provider arrangements and project-delivery models can supply specialized capacity for defined work. These options may be particularly useful during factory launches, automation projects, demand spikes, or equipment upgrades. But they work better when procurement, operations, human resources, and plant leadership share visibility into the same workforce plan.

What should manufacturers measure? Time to hire still matters, but it tells only part of the story. Skills coverage, internal placement rates, training completion, time to proficiency, contractor conversion, retention, and production impact can provide a more useful view. Auditability matters too, especially when algorithmic tools influence candidate matching or internal opportunities.

An estimated 7.8 million manufacturing jobs could go unfilled globally by 2035. That projection puts the focus on scale. Manufacturers that establish common skill definitions, connect recruiting with learning, and combine permanent and external talent pools may be better positioned to staff increasingly digital production networks without treating every vacancy as an isolated hiring exercise.