The core issue threatening young people's employment prospects isn’t what many might assume—artificial intelligence (AI) is not the primary culprit. But here's where it gets controversial: the real problem may lie in deeper, more traditional economic challenges that are often overlooked. If you’re concerned about the future of new entrants into the workforce, this analysis could change how you see the current job market.
Recently, a comprehensive study conducted by an economics consultancy based in London sheds light on a persistent pattern—companies aren’t hiring as they once did, and this slowdown isn’t directly rooted in automation or AI deployment. Since 2023, unemployment rates among recent graduates and new job seekers in the United States have risen sharply—more than 2.5 percentage points—highlighting a stark contrast compared to older workers, whose unemployment figures haven’t moved much. According to Dario Perkins, managing director at Global Data.TS Lombard, many have jumped to conclusions, with AI enthusiasts claiming that businesses are prioritizing technological solutions over new hires, often equating AI adoption with cost-cutting measures.
However, Perkins emphasizes that the primary reason for the hiring stagnation isn’t some dramatic shift toward automation. Instead, it reflects the natural ebb and flow of economic cycles. The broader U.S. economy is currently experiencing recession-like conditions when it comes to job creation. Company hiring during the post-pandemic boom was rapid, but many firms are now simply returning to a more typical, normalized staffing level.
Furthermore, other factors are dampening employment growth. Policy uncertainty has made companies hesitant to expand their teams, while ongoing tariffs introduced during the Trump era have been squeezing profit margins. As a result, many businesses are choosing to optimize productivity from their existing workforce rather than take on new staff—meaning fewer opportunities for new entrants.
So, while young people might feel the squeeze more acutely, Perkins points out that overall employment numbers remain relatively stable. The sluggish hiring environment is expected to improve once economic conditions bounce back, with Perkins optimistic that as the economy reaccelerates, job creation for newcomers will pick up.
It’s worth noting that some analysts see a different, more troubling picture. For instance, Goldman Sachs has reported that younger tech workers—those aged 20 to 30—are facing significant employment challenges, with unemployment in this group rising by nearly 3 percentage points since early 2024. This increase is over four times higher than the general rate hike, suggesting that tech industry employees are feeling the impact of AI-driven disruptions more intensely.
And in August, Goldman warned about a looming era of ‘jobless growth’ in the United States—an intriguing paradox where economic productivity rises thanks to advances like AI, but actual job opportunities lag behind, especially for certain sectors. The debate is heating up: Is AI genuinely displacing jobs across the board, or are these disruptions a temporary phase in an otherwise healthy economy?
This raises an important question for all of us: Could we be overestimating the damaging effects of AI compared to traditional economic issues? Or are these new technologies truly reshaping the job landscape in unprecedented ways? Share your perspective—do you believe AI is the real villain, or is this just a convenient scapegoat for deeper structural problems?
