Manufacturing Job Openings Are Rising. Why Aren’t Hires Keeping Up?

The gap is larger in durable goods manufacturing

The June data also show why broad manufacturing averages need context. Durable goods manufacturers reported 345,000 openings and 209,000 hires. Nondurable goods manufacturers reported 136,000 openings and 120,000 hires.

Different plants, shifts, occupations, equipment, safety exposures, and labor markets create different hiring conditions. A maintenance technician in a chemical facility is not the same job as a maintenance technician in light assembly. A production supervisor responsible for quality, safety, and changeovers should not be treated like every other person with the same title.

That is where generic hiring processes begin to lose people. The employer posts a recycled job description, screens for familiar credentials, gives every candidate the same assessment, and asks broad interview questions. The process creates activity. It does not always create job-related evidence.

The labor data do not prove one cause

The BLS figures cannot tell us whether the gap came from pay, location, shift design, skills, employer reputation, applicant supply, selection delays, or turnover. Any article that claims one national number proves one cause is overstating the evidence.

Other research does show that the workforce challenge is structural. The Manufacturing Institute and Deloitte estimated that U.S. manufacturing may need 3.8 million additional workers between 2024 and 2033 and that 1.9 million of those jobs could remain unfilled if workforce challenges are not addressed. In that study, 65% of surveyed manufacturers identified attracting and retaining talent as their primary business challenge.

The practical question is not whether a national talent gap exists. It is where your own process is losing qualified people and where the job itself has been defined too loosely to support a sound decision.

Start by separating what must be present from what can be trained

Manufacturers often narrow the candidate pool with requirements that feel safe but have not been tested against the real work. Years of experience, one preferred industry background, a broad degree requirement, or familiarity with one system can become a substitute for job analysis.

Some requirements are essential. Others are trainable. The hiring team should make that distinction before sourcing or assessing candidates.

• What must the person be able to do safely on day one?
• Which technical skills can be trained within a realistic ramp-up period?
• Which decisions carry the greatest quality, safety, customer, or production consequence?
• What work conditions cause otherwise capable employees to leave?
• Which behaviors separate reliable performance from repeated supervision?
• What evidence will the employer use to verify each requirement?

A practical example: the maintenance technician opening that stays open

Consider a hypothetical manufacturer that has struggled to fill a maintenance technician role for 75 days. The job posting asks for five years of experience, knowledge of several systems, strong communication, teamwork, urgency, and attention to detail. Every competing employer uses similar language.

The plant team reviews the actual role and finds that the most important entry requirements are disciplined troubleshooting, safe rule compliance, reliable follow-through, and the ability to communicate during equipment failure. One software platform can be trained. Experience with a specific machine is helpful but not essential. The night-shift schedule and emergency call expectations must be explained early because they affect retention.

That review does not lower the standard. It makes the standard more accurate. It may also reopen the pool to candidates from adjacent industries, military maintenance, technical programs, or earlier-career roles who can meet the work requirements but would have failed the old screen.

A focused assessment can then add evidence about the requirements that are appropriate to measure. A technical work sample or credential review can address knowledge and hands-on skill. A structured interview can test how the person diagnoses a failure, responds to an unsafe shortcut, communicates during downtime, and learns an unfamiliar system.

The ODNA Role Blueprint keeps the process tied to the job

ODNA® Talent begins with the role. The ODNA® Role Blueprint helps the employer organize the job purpose, outcomes, work conditions, decisions, risks, entry requirements, and trainable requirements before choosing an assessment.

ask ODNA can then help organize the role information and recommend focused, job-relevant scales from more than 200 validated measures. An authorized person reviews the recommendations, the rationale, and the job connection before the assessment is finalized.

The approved operating chain is clear: ODNA® Role Blueprint → Assessment Architect Mode → Human Review and Approval → Assessment Delivery → Report Analysis Mode → Human Decision.

That sequence matters. AI-supported analysis can help organize information and recommend direction. It does not decide what the employer should value, approve an assessment, select a candidate, or make the employment decision.

Use the assessment to improve the interview

The assessment should not become another pass-or-fail gate added to a slow process. Its value is the evidence it adds and the quality of the follow-up it supports.

ODNA Talent can connect the defined role to a Fit Score, Expected Behaviors, Interview Guide, Response Notes, and Interview Rating System. Those tools help the manager identify what needs verification, ask comparable candidates job-related questions, document the answers, and evaluate the evidence against consistent criteria.

No score guarantees performance. A result should be reviewed with experience, structured interviews, work samples, references, technical qualifications, accommodations, and other appropriate job-related information.

Measure where the process is failing

A manufacturing hiring process should be managed with the same discipline used for production constraints. Start with roles that have been open longer than expected, create repeated overtime, generate early turnover, or force supervisors to cover the work.

Track the stages that matter: qualified applicants, time to first review, interview completion, offer acceptance, time to proficiency, early retention, safety, quality, and attendance where those measures are appropriate and lawfully used. Do not assume an assessment caused an outcome. Look for patterns that help the employer improve the job model, evidence, interview, onboarding, or working conditions.

The goal is not to move every applicant faster. It is to stop losing qualified people to unclear requirements, unnecessary delays, inconsistent interviews, and evidence that does not match the work.

My recommendation

Do not respond to 481,000 manufacturing openings by buying more recruiting volume before you know whether the hiring process can recognize the right person.

Choose one hard-to-fill manufacturing role. Build the ODNA Role Blueprint. Separate must-have requirements from trainable skills. Review what the current screen excludes. Then connect the assessment, interview, and final decision to the same job evidence.

More openings do not have to mean more guesswork.