This week, Sam Rauf attended the U.S. Chamber of Commerce Foundation’s AI + Work: Talent Forward summit in Washington, D.C., where leaders across business, workforce, and policy examined how AI is reshaping work. He also met with chamber leaders from across the country to discuss what those changes mean for communities like Wake County.

In Washington, the debate was not whether AI will change work, but how quickly it is happening, how unevenly it is landing, and whether communities are prepared to respond.

AI Is a Powerful Tool, Not a Magic Wand

AI is proving most useful for brainstorming, drafting, and pattern recognition across large datasets, where employers across sectors are already seeing productivity gains.

But AI still falls short in critical thinking, judgment, ethical reasoning, and tasks that depend on context. It produces confident output, not always reliable output, which is why human review remains essential.

As one phrase repeated throughout the summit put it: AI is like a brilliant summer intern—fast, capable, full of ideas, and still in need of supervision before anything goes out the door.

Organizations making AI work are not replacing human decision-making; they are building clear processes for where AI contributes and where people must verify and decide. Human-centered workflows are operationally necessary.

Employers Want AI-Fluent Workers, but Training Systems Are Not Keeping Up

Employers increasingly want workers with AI fluency, but few systems exist to help people build those skills. For now, many workers are learning through trial and error or informal help from colleagues. That mismatch matters because AI is moving much faster than past technological shifts, reshaping categories of work in years—or even months—while training systems built for a slower era struggle to keep up.

Lightcast data presented at the summit showed that eight of the top 10 skills requested in AI job postings are not technical, but human skills like communication, leadership, critical thinking, and problem-solving. AI fluency means knowing when to use a tool, how to evaluate its output, and how to apply it responsibly at work. That makes short-cycle credentials, stackable pathways, and employer-connected training essential.

Three Fault Lines Are Reshaping Everything, Simultaneously

Lightcast’s Fault Lines report reframed the discussion: AI is not disrupting the labor market on its own, but colliding with two other major forces at the same time.

The first is geopolitics. Countries are decoupling, trade patterns are shifting, and immigration—a key source of skilled labor—is slowing across developed economies.

The second is AI: more than half of AI job postings now sit outside IT, the link between degrees and career outcomes is weakening, and only 6% of AI workers hold AI degrees.

The third is demographics: birth rates are falling, retirements are accelerating, immigration is declining, and across major economies the working-age population is shrinking.

Organizations still planning for a world of abundant talent, stable trade, and gradual technological change are planning for a world that no longer exists.

Communities Must Build the Connective Tissue

Communities cannot wait for employers to define every need before building a response. By the time businesses can name specific skill gaps, traditional workforce systems are already too slow to respond.

Communities need infrastructure that helps educators, workforce partners, businesses, and workers communicate in real time, respond to labor market signals quickly, and adjust pathways as conditions change. Economic developers, workforce boards, community colleges, K–12 systems, and employers need a shared language of skills—not annual reports and grant cycles.

Employers at the summit were not asking for perfect solutions; they were asking for partners willing to adapt alongside them.

We Are Still Early, Which Is Both Alarming and Encouraging

Despite the attention AI is getting, adoption is still early: 88% of organizations are experimenting with AI tools, but deployment of autonomous workflows remains limited across most business functions.

The window to build the right systems and upskill workers thoughtfully is still open, and communities that move now—even imperfectly—will be better positioned than those that wait for certainty.

What This Means for Wake County

Our businesses need workforce partners thinking in skills, not just degrees, who can update their understanding of employer needs in real time.

Our workers need structured, accessible pathways to build AI fluency as a tool that makes them more capable and more competitive. We cannot leave this to self study.

Our education institutions, particularly Wake Tech and our K-12 system, need real time market intelligence and tighter employer connections so curriculum can evolve at the pace the market demands.

And our economic development strategy must account for all three fault lines simultaneously: geopolitical reshoring creating new industrial opportunity, AI reshaping skill requirements, and demographic trends tightening the labor pool we depend on for growth.

We are actively working to understand how these dynamics are playing out right here at home. Our Regional Skills Analysis survey is currently open, and businesses across Wake County are already weighing in on how they are using AI, where they are feeling workforce gaps, and what skills they most need from the talent pipeline. The early responses are generating exactly the kind of real time intelligence our community needs. We will be sharing those insights soon, and we want to make sure your voice is part of the picture.

If you have not yet taken the survey, we encourage you to do so. It takes just a few minutes and the data you provide will directly shape how our region responds to the changes discussed in Washington.

Take the Regional Skills Analysis Survey

The Raleigh area starts from a position of genuine strength. World class research universities, a diverse and growing talent base, strong employer investment, and a history of cross sector collaboration. What this summit made clear is that those advantages will not maintain themselves passively. They require active stewardship and the willingness to build new systems before the old ones fail.

We returned from Washington with greater clarity and greater urgency. Paired with insights from the Regional Skills Analysis, we are excited to get to work this summer!