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AI Is Hitting Entry-Level Jobs Hardest, Stanford Study Finds

An anonymous reader quotes a report from Ars Technica: For years, AI industry watchers of all stripes have been warning of a coming jobs apocalypse driven by ultra-intelligent AI systems that will be able to replicate most human tasks more cheaply. Now, newly updated research from Stanford University economists suggests AI seems to be causing significant entry-level job losses for younger workers…

A Stanford University study has revealed that artificial intelligence (AI) is having a disproportionate impact on entry-level employment, particularly in younger workers aged 22 to 25. As reported by Ars Technica, the employment gap for these age groups in AI-exposed occupations has widened from 13 percent last year to 19 percent in 2026. The study updates a previous report published last year, confirming that the trend is persisting and accelerating.

The research indicates that the employment disparity is primarily due to lower hiring rates for entry-level workers in AI-impacted fields, rather than a rise in layoffs or quits. Additionally, the labor market effects are mainly reflected in reduced employment, rather than lower pay rates. However, not all jobs susceptible to AI disruption are equally affected.

According to Anthropic's Economic Index, roles such as accountants, auditors, and receptionists are among the most vulnerable, while positions like chief executives and registered nurses benefit from AI augmentation. The study suggests that AI automation is replacing labor in these fields, while complementary uses are either maintaining or increasing employment levels.

Moreover, entry-level jobs that rely heavily on codified knowledge, which AI can easily replicate, are experiencing the most significant employment impacts. In contrast, experienced workers in roles that require tacit, practice-based knowledge are seeing stronger employment growth.

Written by urgent.news from Slashdot's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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