Gen Z doesn’t need more AI courses, it needs the skills AI can’t replicate

In April 2026, the United States reported 83,387 job losses, with 26% of them citing artificial intelligence as the reason. A quieter story is shaping the careers of an entire generation, according to findings by Stanford economists Erik Brynjolfsson, Bharat Chandar, and Ruyu Chen. Employment among 22 to 25-year-olds in AI-exposed jobs has dropped 16 to 20% in software development, while older workers in the same roles remain largely unaffected.

Universities and bootcamps have responded by adding more AI courses, leading to a 114% increase in bachelor's level AI programs in the US from 2024 to 2025. However, this reflex is producing graduates who are technically proficient in AI but lack the commercially valuable skills employers seek. A joint study by Amazon Web Services and Pearson revealed that employers are concerned with graduates' inability to make decisions, adapt to changing circumstances, and build trust with customers, rather than their technical AI skills.

These "soft skills" are not currently part of the curriculum, which focuses on teaching tool literacy, making Gen Z ill-prepared for the AI economy. Universities need to shift their focus towards teaching students how to write clearly, interact with real customers, make decisions under incomplete information, and spot when AI outputs are technically correct but commercially incorrect.