Blue Collar v. White Collar and the Impact of AI
What would you do if you stumbled upon a fountain of youth? What three wishes would you make if you found a genie in a bottle? Would you seize the opportunity to return to your youth? For those of us with several decades of life under our belts, it’s tempting to think about returning to a simpler time.
If you could go back to a time before the Internet existed, would you do it? What if you could be 17 again, but only if you stayed in 2026? That might change things for many people. How about you?
Combine a new war in the Middle East with increasing inflation, skyrocketing prices on everything from food to gas, unaffordable healthcare premiums, and any number of other issues, and you find yourself in a present time that’s particularly bleak for the youth of America.
Today’s parents of teens know the struggle is real. What career advice do you give a teenager in a world full of uncertainty and an economy on the verge of a recession? With artificial intelligence (AI) growing by leaps and bounds, what kind of modern career still offers the “American dream”?
Should you push your children toward a university degree and a white-collar job? Or would they be better served by pursuing a blue-collar job in the trades after an apprenticeship, certification program, or technical training at a community college?
Recent news reports signal a trend that may put blue-collar careers on a more solid footing than white-collar counterparts in the age of AI. In a recent article in The New York Times, author Sydney Ember notes that “[t]his is the worst spring for young degree holders since the depths of the pandemic.”
Diving into the statistics, it’s clear that those finishing college soon face an uphill battle. Ember cites a Federal Reserve Bank of New York analysis that finds “[t]he unemployment rate for college graduates ages 22 to 27 soared to 5.6 percent at the end of last year…up sharply over the past three years and outstripping the overall rate of 4.2 percent at the time.”
Perhaps more importantly, of those who did have jobs, “more than 40 percent held jobs that do not typically require college degrees, the highest level since 2020.” While there are many factors at play in the current employment market, some are pointing the finger at the increasing prominence of AI.
For example, Anthropic CEO Dario Amodei has predicted that AI “could obliterate half of entry-level white-collar jobs within five years.” Is that realistic? Only time will tell. However, a Stanford Digital Economy Lab report recently found that there have been “‘substantial declines in employment for early-career workers’ in fields that were most vulnerable to A.I., such as software development.”
In stark contrast to the apparent effect of AI on white-collar jobs, author Caroline Colvin notes in a recent HR Dive article that “AI is spurring demand for skilled trade workers — not displacing them.” She cites a recent Randstad report that indicates that “[h]iring for skilled trades has increased to keep up with the rate of artificial intelligence infrastructure growth.”
For example, Colvin notes that “[s]ince late 2022 when generative AI entered the mainstream, demand for robotics technicians has spiked 107%, with demand for HVAC engineers up 67% and construction roles up 30%.”
Before jumping on the trades bandwagon, though, it’s important to realize that “AI-driven expansion is reshaping what it means to be a skilled trade worker.” It appears that the days of viewing blue-collar jobs as low skill are long gone.
Randstad’s report notes that new blue-collar jobs “are increasingly highly specialized, digital-first positions. From electricians to robot technicians, digital fluency is now a prerequisite. The skilled trades are moving closer to traditional knowledge work, requiring a global re-rating of these career tracks and a shift toward continuous education and training opportunities.”
So, what can educators and companies do to increase the number of highly skilled workers needed for today’s job market? Partnering with a proven expert to train current and prospective workers with the hands-on skills necessary to succeed on the job is a great place to start.
Partnering with a training solutions provider with a proven track record can help any manufacturer or educational institution train workers with the hands-on skills they’ll need to hit the ground running in the workplace. For example, DAC Worldwide offers a wide variety of training systems that teach basic to advanced skills in a wide variety of areas relevant to manufacturing. From basic electrical and mechanical to advanced process control and HVACR, DAC Worldwide offers training solutions that work. Visit DAC Worldwide online to learn more about its many training systems!
- Published in News
Texas Becoming Nexus of AI Data Centers
Has artificial intelligence (AI) affected your day-to-day life yet? If it has, then you already know how prevalent this technology has become in a short time. If it hasn’t, well, you may just not realize it yet, as AI seems to have infiltrated nearly every aspect of technology.
AI apps, like ChatGPT and Grok, have become go-to resources for a wide variety of users, from students looking for help with homework to workers seeking assistance with basic job functions. Apps like these, though, are just the tip of the iceberg. AI “engines” are being used to power things behind the scenes in many different types of technology.
The rise of AI has resulted in a race for dominance. Every big tech company is in the race, but it’s unclear where the finish line is, what awaits the winner, or what it will take to get there. These uncertainties aren’t dampening the spirits—or investments—of these companies in AI, though.
In many cases, the race currently takes the form of a rush to build as many large AI data centers as possible. Locations throughout the United States have been targeted for new AI data centers, leading to pushback in many communities over the resources, including water and electricity, that these facilities require.
It’s true that AI data centers require an enormous amount of electricity and water to run their rooms full of supercomputers. In areas where electrical grids are already overtaxed, residents have valid concerns about the effect AI data centers will have on their already-strained resources. At least one project, however, may be taking a new approach to allay some of those concerns.
In an article in The Wall Street Journal, author Bradley Olson reports that a small portion of a sprawling ranch in West Texas will soon be home to a giant new AI data center being planned by AI startup Poolside in conjunction with cloud-infrastructure provider CoreWeave.
What’s different about this AI data center is that the partners chose the location because the complex will be “capable of generating its own power.” “[L]ocated in the heart of the fracking boom,” the site will “take advantage of natural gas produced in the Permian Basin, the epicenter of U.S. drilling activity.”
According to Olson, “Poolside and CoreWeave…are betting that the proximity to natural-gas resources could reduce costs and improve the long-term viability of the data center, as many planned facilities across the U.S. have been built without power generation capabilities.”
The companies plan “to use an on-site gas plant built years ago by Occidental Petroleum and other infrastructure including pipelines will make it possible for the data center to generate its own power.” This could be a game changer, since Olson notes that it’s “far from certain whether many data centers will have sufficient power and water to operate without becoming a significant strain on local resources.”
One thing Olson does not touch upon, but which is another scarce resource that AI data centers will put a strain upon is the supply of skilled workers to build and operate these facilities. In the case of the planned facility in West Texas, workers will be needed that have a wide variety of skills in both the oil and gas sector and electricity and power generation.
How do companies and schools in these areas train the next generation of professionals with the electrical and oil and gas skills they need to succeed in the age of massive AI data centers? Fortunately, there are already companies they can partner with to develop the training programs that will provide workers with the hands-on skills they need to succeed.
For example, DAC Worldwide provides a variety of hands-on training systems for both electrical and oil and gas training:
Be sure to check out DAC Worldwide’s training systems that feature the real-world components workers will encounter in the field!
- Published in News
AI Driving Investments by Energy Giant
What comes to mind when you think about utility companies? For many people around the country, images of coal-fired power plants and tall wooden poles strung with long wires might be top of mind. What likely doesn’t come to mind is advanced technology, like artificial intelligence (AI).
However, it’s technologies like AI that are top of mind for many leaders in the energy and public utility sectors. Why? The data centers being built to expand the powers and capabilities of AI use tremendous amounts of power that threaten to undermine the security and stability of already-overburdened electrical grids in many areas.
Those tasked with ensuring the future of our energy supply must adjust their focus and priorities to align with the changes being wrought by new technologies like AI. For example, in an article in The Dallas Morning News, author Lana Ferguson notes that energy giant Schneider Electric recently announced “plans to invest more than $700 million in its U.S. operations through 2027.”
This huge investment will “support the country’s focus on bolstering the nation’s energy infrastructure to power AI growth, boost domestic manufacturing, and strengthen energy security.” Specifically, “[t]he money will go toward manufacturing expansions and creating more than 1,000 new jobs, with roles such as next-generation manufacturing professionals, engineers, developers and technical analysts.”
Schneider Electric expects its investment to “bolster ‘smart factory transformation’ across several states that include Texas, Massachusetts, Tennessee and Missouri.” Officials are hopeful that other key players will follow suit with their own investments.
According to Aamir Paul, president of North America Operations for Schneider Electric, “[w]e stand at an inflection point for the technology and industrial sectors in the U.S., driven by incredible AI growth and unprecedented energy demand. To lead the transformation ahead, we must be agile and act now to advance ambitious digitalization and efficiency goals to make an impact for generations to come.”
National Association of Manufacturers (NAM) President and CEO Jay Timmons lauded these plans: “Schneider Electric’s significant investment is a clear sign that manufacturing in America is moving forward — driving economic growth, innovation and job creation across the country. By expanding their operations with a focus on energy security, automation and AI, Schneider Electric is not only strengthening America’s competitiveness but also creating new opportunities and powering our nation’s future.”
As energy giants like Schneider Electric invest and expand, there’s one challenge they’re sure to encounter immediately: a shortage of highly skilled workers with advanced electrical and automation skills. How do companies and schools train the next generation of professionals with the electrical skills they need to succeed in the modern workplace?Top of Form
Bottom of Form A thorough review of training systems is a great place to start. Do employees and students have access to hands-on training with actual components they’ll encounter on the job? If not, partnering with established companies to provide industrial-quality training systems that will stand the test of time will help ensure a competent workforce. Be sure to check out DAC Worldwide’s variety of hands-on electrical training systems that feature the real-world components workers will encounter in the field!
- Published in News