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In America's heartland, community college leaders are rewriting the rules of career training, starting younger, leaning on local employers, and treating AI literacy as a basic skill rather than a specialty.
For families in America's heartland, the question isn't whether AI will change the job market. It already has. The real question is whether schools can move fast enough to prepare the next generation for work that didn't exist a decade ago, and might look unrecognizable a decade from now.
That urgency was front and center at a recent Heartland Summit breakout session, where education leaders from Ozarks Tech, WSU Tech and the Bentonville Institute of Technology tackled a problem familiar to parents, teachers and employers alike: how do you train students for jobs that keep shifting under everyone's feet? Moderated by Lisa Gevelber, founder of Grow with Google, the conversation offered a glimpse into how some schools are trying to get ahead of the curve rather than scramble to catch up.
Their shared conclusion was blunt. Waiting until students graduate high school is too late.
"We can't start workforce development at the age of 18. We have to start earlier," said Sheree Utash, president of WSU Tech. That single sentence captures a broader shift happening across technical education: the old model, where career training began after graduation, is being replaced by something closer to a long on-ramp that starts in middle school.
WSU Tech is already putting that philosophy to work. The school runs career-focused programs that reach middle and high school students in aviation, manufacturing, health care, IT and cyber, with a building trades program currently in development. Think of it less like a single off-ramp into adulthood and more like a series of smaller bridges, each one letting students test out a field years before they'd otherwise have the chance.
If starting early is one pillar of this new approach, the other is simple: ask employers what they actually need, then build around that.
Hal Higdon, chancellor of Ozarks Tech, described the method in plain terms. Educators, he said, should start by asking businesses, local communities and education partners a basic question: "What do you need?" It sounds almost too simple to matter, but it inverts how a lot of curriculum design has traditionally worked. Instead of schools deciding what skills are valuable and hoping employers agree, employers get a seat at the table from the start.
The payoff is tangible. After local manufacturers in the Ozarks region flagged a shortage of advanced manufacturing talent, Ozarks Tech responded by building a 120,000-square-foot, $40 million advanced manufacturing center. That's not a small commitment. It's the kind of capital investment that signals schools treating workforce alignment as infrastructure, not an afterthought.

This employer-informed approach matters because the gap between what schools teach and what workplaces need has long been a source of frustration on both sides. Employers complain about skills shortages. Graduates complain about degrees that didn't translate into jobs. Building programs directly from employer input is one way to close that gap before it widens further, especially in regions where a handful of major industries drive most of the local economy.
AI adds another layer of urgency to this conversation. As the technology becomes a standard tool across industries, from logistics to health care to skilled trades, educators at the summit agreed that students need real opportunities to build AI skills and practice using the technology, not just hear about it in the abstract.
David Mazyck, founding president of the Bentonville Institute of Technology, offered a window into what that might look like in practice. He said the university plans to weave artificial intelligence into its three-year degree program alongside business fundamentals and critical thinking, giving students chances to build and apply what they learn rather than simply absorb theory. It's a model that treats AI less like an elective and more like a core literacy, similar to how writing or basic math function across nearly every career path today.
But technical fluency with AI tools isn't the whole story, and the panelists were careful not to oversell it. Knowing how to prompt a chatbot or run a piece of software is one skill. Knowing what to do with the output is another, and arguably the harder one to teach.
Mazyck put it memorably: "What I really like about AI is that it does a phenomenal job giving me 47 correct answers. The challenge becomes which one am I going to choose?" That's the crux of it. AI can generate options at a scale no human could match alone. Judgment, context and critical thinking are still what determine whether those options actually serve a real purpose. Schools that teach only the mechanics of AI tools risk producing graduates who can operate the technology but can't evaluate it, a gap that could prove costly as AI becomes more embedded in decision-making across industries.
For heartland communities, this isn't an abstract debate about the future of work. It's a practical question about whether local students will be ready for the jobs opening up in their own backyards, in manufacturing centers, health systems and tech employers that are already adapting to AI-driven tools. Schools that start workforce preparation earlier, build programs around actual employer needs and teach students to question AI output rather than simply trust it are making a bet that pays off in more resilient local economies.
That bet carries real stakes for families who don't have the luxury of waiting for institutions to catch up. A middle schooler exploring an aviation program today, or a community college student training on manufacturing equipment that was built because local employers asked for it, is getting a head start that previous generations didn't have. Whether that head start is enough to keep pace with how quickly AI is reshaping entire industries remains an open question. But these educators are betting that starting earlier, listening closer to employers and treating human judgment as inseparable from technical skill gives their students the best shot at an economy that isn't finished changing.
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5. 📚 How heartland schools are preparing students for an AI workforce
↗ https://www.axios.com/sponsored/5-how-heartland-schools-are-preparing-students-for-an-ai-workforce
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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30 October 2026
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