MIT Scientist Warns: Replacing Gen Z Entry-Level Jobs with AI May Bring High Long-Term Costs

Many companies want to use AI automation to replace Gen Z entry-level positions to cut costs, which seems effective in the short term but may not be worth it in the long run. Gen Z refers to people born between 1995 and 2010.

Andrew McAfee, a research scientist at MIT, warns that reducing young talent recruitment not only affects current staffing scale but also disrupts the pipeline for future managers and core employees. Learning complex knowledge-based jobs often starts with handling routine tasks for experienced workers; over-automating these steps will cut off this 'apprentice ladder'.

Deloitte research shows that about 76% of Gen Z use independent AI tools, the highest proportion among all generations. McAfee believes this usage habit is a scarce advantage—older workers tend to rely more on old practices and are less willing to try new tools like AI. Cutting entry-level roles may sacrifice future learning opportunities and skilled talent, and also cut off the source of the most active AI users in the organization.