To knowledge workers, artificial intelligence looks like a pink slip. But for hundreds of thousands of blue-collar workers who are struggling to seek out work, not because they lack skills, but because of a lack of effective hiring infrastructure, artificial intelligence is emerging as the green light they have been looking for.
The inability to match labor demand given the significant supply of expert talent is not only an embarrassing systemic failure, but also a huge blow to the U.S. economy. AND test only one part of the labor force – in the manufacturing sector – in response to Deloitte AND Production Institute projects project that roughly 2.1 million U.S. manufacturing jobs will remain unfilled by 2030, a gap that can potentially cost $1 trillion this yr alone. We they need to expect higher costs, missed deadlines, and slower growth (if at all) in various industries that face similar shortages of expert workers.
That is, unless something changes.
The infrastructure for hiring blue-collar workers is broken
It starts and ends with employment. The applicant tracking and recruitment management systems that the majority corporations rely on are designed to upskill the best candidates who meet white-collar industry standards, resulting in a critical divide. How Harvard research shows that these tools filter out capable candidates who don’t fit historical patterns or standard checklists that are trained to acknowledge.
This project is particularly problematic given the realities of the American workforce. Foreign-born workers are overrepresented in these roles: construction industryfor example, it employs the highest percentage of immigrants of any industry.
U.S. resume conventions, from formatting to wording, are unfamiliar to many immigrants, and automated resume systems often downgrade these applications based on irrelevant aspects slightly than work experience or relevant skills.
Another obstacle is qualifications, which are crucial for many blue-collar jobs: licenses and certificates obtained abroad often have little relevance to national labor codes, even if the basic skills are equivalent. For example, an electrician with 20 years of experience and certified in Nicaragua starts in the same place as a novice in the U.S.
For those that do not speak or write English fluently, if at all, these problems are compounded. The key reason: automated systems are trained to reject applications containing typos, incomplete phrases or grammatical errors. Given all these issues, it’s easy to assume why so many qualified candidates don’t hassle applying for jobs at all.
How artificial intelligence is clearing the hiring gutters
Artificial intelligence succeeds where legacy hiring infrastructure systems failed: the nuances. Machine learning platforms can bypass obstacles that prevent immigrants from finding jobs at scale. Natural language processing allows systems to interpret non-traditional CVs, conduct interviews in multiple languages, and routinely confirm references.
A welder without a formal CV can be assigned to an employer based on verified training courses obtained in one other country. A warehouse employee with poor English skills can be judged based on his skills, not the syntax on his CV. This reality would have enormous positive consequences for the blue-collar workforce and the American economy. What’s more, it is possible.
What’s more, hiring these candidates doesn’t end with a business case. Employers who welcome refugees to work in their plants report significantly higher levels of worker retention in manufacturing, logistics and blue-collar industries, which traditionally have high turnover.
Put simply, hiring systems that prioritize skills, credentials, and language inclusion not only increase candidate reach, but also drive sustainable productivity and growth.
Competitive advantage
For corporations, the advantages of implementing AI to enhance or change blue-collar hiring practices go beyond altruism. It’s good business. AI-powered recruiting platforms can reduce emptiness times, lower onboarding costs, and expand the worker pool – advantages that matter to each individual corporations and the U.S. economy as a whole.
The challenge for executives and decision-makers is to not decelerate AI, but to implement it correctly. Used appropriately, these tools can rebuild the connective tissue of the labor market, helping hundreds of thousands of workers find the jobs that need them most.
The workers are there. Tasks await. The system is damaged but cannot be repaired.
Artificial intelligence won’t take every job. Not even close. For many, this technology will actually backfire: it will unlock one.