AI reduces entry-level jobs and reshapes career paths

🎯 Impact Sentiment: Concerning

📋 Summary

• In a commentary, Jaime Raul Zepeda of Best Companies Group cites The New York Times: companies are not firing people to capture AI gains but hiring fewer and paying less, and hiring of 22- to 25-year-olds in occupations where AI substitutes for human work has fallen by a third since 2021.
• Wage growth has slowed most in the jobs AI can do, hitting lower earners hardest while top earners barely noticed.
• Stanford payroll research shows the employment gap for young workers in AI-exposed jobs widened again this year while experienced workers are unaffected; Harvard researchers found junior hiring dropped at AI adopters as AI-doable tasks disappeared from junior job descriptions.
• Zepeda warns that skipping entry-level hiring drains the pipeline of future mid-level talent, and urges companies to hire early-career staff deliberately, give them judgment work in year one and measure leaders on how many people they develop.

💡 JR Insights

• 💼 Implication: AI's impact on jobs is showing up as roles that never get posted rather than as layoffs, so headline unemployment figures understate how hard it has become to start a career.
• 🚨 Risk: Without the routine "apprenticeship" work that entry-level jobs used to provide, young workers struggle to build the experience that is their best protection against AI.
• ✨ Takeaway: Prioritise employers and programmes that offer structured development, and build judgment-based experience early through internships, freelance projects or volunteer roles where you own real decisions.