Automating Entry-Level Jobs Risks Breaking Talent Pipelines

Companies racing to automate may be severing their own talent supply lines

Organizations deploying AI to replace entry-level positions could be undermining the very mechanisms that develop skilled workers, according to MIT research scientist Andrew McAfee, who co-leads the school's Initiative on the Digital Economy.

The concern centers on apprenticeship pathways. Junior employees traditionally learn complex knowledge work by handling routine tasks for experienced colleagues—a training model that breaks down when automation eliminates those starting roles. McAfee told Harvard Business Review that removing this ladder too quickly disrupts how people acquire the skills needed for advanced work.

Beyond training mechanics, companies may be cutting off access to their most AI-literate talent pool. Deloitte research from November 2025 found that 76% of Gen Z workers use standalone AI tools—the highest rate of any generation. McAfee, who also cofounded Workhelix, a startup focused on AI return-on-investment analysis, noted that older workers tend to resist new technologies more than younger cohorts do.

The market is already tightening for new graduates

Entry-level job postings on Handshake have dropped 2% year-over-year and sit 12% below pre-pandemic levels, according to the platform's Class of 2026 Network Trends report. The unemployment rate for college graduates aged 22 to 27 has reached 5.6%, per New York Fed data.

Anxiety is climbing in response. Monster found that nearly 90% of 2026 graduates worry AI or automation could replace entry-level roles, up sharply from 64% in 2025. Some technology executives have fed these concerns—Anthropic CEO Dario Amodei previously predicted AI could eliminate up to half of entry-level white-collar jobs, though he later moderated that forecast.

Why it matters

Entry-level workers represent the lowest-cost talent companies can hire, yet they also seed the pipeline for future leadership and bring native fluency with the AI tools organizations are racing to deploy. Cutting this pipeline creates a paradox: companies may save on immediate labor costs while sacrificing long-term competitive advantage and workforce development.

Some major employers are moving in the opposite direction

Not all organizations are retreating. IBM CEO Arvind Krishna said in October 2025 that the company would triple its entry-level hiring to build durable skills and long-term value. Salesforce CEO Marc Benioff announced in April that his company is hiring 1,000 new graduates and interns specifically to build AI systems, noting these workers are "powering Agentforce and Headless360." Amazon plans to bring on 11,000 software engineering interns in 2026, maintaining its historical pace.

AWS CEO Matt Garman said demand for software developers inside Amazon is accelerating, not contracting. Historical data also suggests young workers adapt more effectively than older cohorts when displaced. A Goldman Sachs analysis found college-educated young workers experience earnings losses roughly half as large as other displaced workers in the decade following job loss, and they're more likely to transition into roles that complement new technologies.

These details were first reported by Fortune.