“There are two million AI-proof six-figure jobs open right now,” said Mike Rowe. “And people aren’t trained for them.”
The most famous TV host Dirty jobs Talked with recently The Wall Street JournalIn an interview for its Free Speech newsletter (1), he calls out the growing skills crisis in the American workforce.
Rowe says that if industries can’t find enough skilled workers to run critical infrastructure and manufacturing, the country could be headed for what he describes as an “existentially-threatening bellwether.”
Meanwhile, artificial intelligence (AI) is reshaping white-collar careers and forcing workers to rethink what a “good job” looks like.
Rowe says there are millions of open roles that don’t require a four-year degree, especially in manufacturing, construction and other skilled trades.
Figures from the US Bureau of Labor Statistics (2) (BLS) report that the US economy has lost millions of jobs, including millions in manufacturing alone.
So where are all the workers?
Industries such as manufacturing are facing a demographic squeeze, with many skilled workers aging out of the workforce and fewer young people entering the trades.
According to the Associated Builders and Contractors (3), the U.S. construction sector alone needs more than half a million workers by 2024 to keep up with demand.
Rowe argues that part of the problem comes from decades of messages about education and career options, saying, “When we took shop class out of high school 40, 50 years ago, we sent a clear message to parents and kids that those jobs weren’t even worth looking at. At the same time, we pushed four-year degrees too hard.”
According to McKinsey & Company (4), it is this cultural stigma that still seems to hold many young people back. In a survey of 1,000 Americans ages 18 to 20, nearly three-quarters said they still have negative views about choosing a trade school over a traditional four-year college.
Young people have traditionally been encouraged to pursue college degrees, one result of which is that the US now has approximately $1.7 trillion in student loan debt (5), according to a report by the Federal Reserve Board.
But the college approach isn’t the only path to success, especially as technology continues to transform the work landscape.
“Everyone learned to code,” Rowe said. “AI is coming for coders. It’s not coming for welders. Not yet, anyway.”
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Rowe believes that careers in the trades may become more resilient to automation in the future, with occupations such as welding, electrical work, plumbing and heavy equipment operation requiring physical solutions that machines still struggle with.
The BLS (6) projects steady demand for some skilled trades over the next decade, including electricians, HVAC technicians and industrial machinery mechanics.
While traditional degrees aren’t going anywhere, some companies are betting on hands-on training, apprenticeships and employer-sponsored education to fill critical skills gaps.
Industry giants such as Caterpillar (7) and Ford (8) are accelerating technology programs, creating pipelines of skilled workers for manufacturing, engineering and high-tech machinery.
The US Department of Labor (9) notes that registered apprentices combine classroom instruction, on-the-job training that provides wages and nationally recognized credentials. The apprenticeship “pay as you learn” model offers workers the opportunity to start high-demand careers without sinking into student debt.
Rowe argues that the traditional divide between “blue-collar” and “white-collar” work is becoming less relevant in a rapidly changing economy.
“The color of the collar is gone,” he said. “We’re entering a whole new world and it has new rules.”
Whether or not the future unfolds as Rowe fears, the larger trend points to a growing demand for practical, hands-on skills and gaps in skilled workers in those industries. Careers that combine technical training, adaptability and real-world problem solving may become increasingly valuable in the coming years.
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Wall Street Journal (1); US Bureau of Labor Statistics (2), (6); Associated Builders and Contractors (3); McKinsey & Company (4); Federal Reserve Board (5); Caterpillar (7); Ford (8); US Department of Labor (9)
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