Skilled Trades Hold Their Ground Against AI
Even as artificial intelligence and robotics evolve, many experts argue that skilled trades are among the safest career paths. Geoffrey Hinton, the Nobel Prize–winning computer scientist dubbed the “Godfather of AI,” noted that while legal assistants and paralegals may soon be replaced, plumbers and other manual workers remain less vulnerable.
“AI can’t replace parts or make improvisational decisions,” explained Tony Spagnoli, director of testing and education for North American Technician Excellence, the nation’s largest HVAC nonprofit. The Bureau of Labor Statistics supports this view, projecting job growth across a range of trades, even as entry-level white-collar roles stagnate.
A Brutal Job Market for Gen Z
For Gen Z, however, the struggle goes beyond AI. They are already entering one of the most competitive labor markets in decades. Recent graduates are being squeezed from both ends: older workers are staying in the workforce longer, and younger workers are fighting over fewer entry-level positions also due to AI.
Many are juggling low-income or part-time jobs that don’t match their degrees just to get by. Add AI into the mix, and the uphill climb becomes even steeper—fueling a turn toward trade careers that offer more immediate stability and a clearer path to long-term security.
Microsoft and Goldman Sachs Warn of Job Displacement
Microsoft recently released a list of jobs most endangered by AI, including interpreters, historians, sales representatives, and writers. Meanwhile, roles like roofers, dredge operators, hazardous material workers, and nursing assistants were ranked as relatively safe.
Goldman Sachs estimates that widespread AI adoption could displace 6–7% of the U.S. workforce. The firm emphasized, however, that many workers could transition to other fields over time.
Gen Z Embraces Blue-Collar Stability
According to a Resume Builder survey, 42% of Gen Z adults—many of them college graduates—are now working in or pursuing skilled trades. Their top motivations: avoiding student debt and finding jobs resistant to AI disruption.
“More Gen Z college graduates are turning to trade careers and for good reason,” said Stacie Haller, Resume Builder’s chief career adviser. “Hands-on work is far more difficult to automate.”
Notably, Gen Z men, regardless of education, were more likely than women to choose blue-collar paths.
AI Puts Tech Grads on Edge
While trades remain stable, college graduates in computer science are facing a stark reversal of fortune. Once touted as a golden ticket to six-figure jobs, computer science degrees no longer guarantee employment.
Recent graduates like Purdue’s Manasi Mishra say tech opportunities have dried up. “I just graduated with a computer science degree, and the only company that has called me for an interview is Chipotle,” she said in a viral TikTok.
Layoffs at Amazon, Meta, and Microsoft combined with AI coding tools like CodeRabbit are squeezing junior software engineers out of the job market. Federal Reserve data shows recent computer science graduates have unemployment rates as high as 7.5%—more than double that of biology and art history grads.
Robots Won’t Replace Humans Anytime Soon
Despite concerns, robotics experts caution against believing that humanoid robots are on the verge of taking over manual labor. “In my mind, that’s a myth,” said Ken Goldberg of UC Berkeley. “Progress is being made at a slow pace.”
Industries like automotive repair are already integrating AI to assist diagnostics, but mechanics are still needed for the actual labor. “There will always be a need for testing and replacing auto parts,” said Matt Shepanek of the National Institute for Automotive Service Excellence.
A Fork in the Road for the Next Generation
For now, the labor market is sending mixed signals: tech degrees no longer promise guaranteed wealth, while skilled trades are being rebranded as resilient, stable, and AI-resistant.
Whether AI ultimately erases millions of jobs or opens up new opportunities, Gen Z is making pragmatic choices—leaning toward trades that require physical expertise and can’t easily be replaced by algorithms.
