AI Is Coming for Entry-Level Jobs: How to Prepare for the New Career Ladder

Despite alarming headlines, there’s no real evidence yet that generative AI is eliminating entry-level jobs en masse. But researchers warn we’re underestimating how transformative AI will be in the next 5-10 years.

What the Data Says

Sean McGowan, director of employer relations at Carnegie Mellon University, hasn’t seen a drop in students getting jobs. Instead, he notes a rise in AI-related titles like AI engineer and AI scientist. The hype may be overblown in the short term, but the medium-term outlook is concerning.

The Threat to Entry-Level Work

Molly Kinder, who researches AI and the labor market, points out that AI can already do the work of an intern or research assistant in fields like research, finance, consulting, and coding. Tasks that took a week now take five minutes. She warns: “Our whole model of training people is going to collapse if we don’t intervene.”

Rethinking the Career Ladder

Northeastern University is a pioneer with its co-op model, where students spend significant time working at companies. Nearly 60% of students get job offers from co-ops, and graduates have higher starting salaries. The university is now seeing daily inquiries from other schools interested in replicating this model, accelerated by AI.

Big Ideas for the Future

Kinder proposes a medical residency model for white-collar careers: paid training positions funded by philanthropy, government, and private companies. Kenneth Henderson of Northeastern emphasizes that educators must adapt “not in decades, but in weeks and months.”

What This Means for You

If you’re starting your career, seek out experiential learning opportunities like co-ops, internships, or project-based roles. The traditional entry-level job is evolving, and hands-on experience will be your biggest asset.