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AI CURATED HOT STORY · 11/15/2026

RBA Study Shows Early AI Impact on Young Software Jobs

2 reports archived2 independent sourcesupdated 11/15/2026, 19:03:53
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A new study by the Reserve Bank of Australia (RBA) indicates that the impact of artificial intelligence on the labor market is beginning to show, with the largest decline in job postings for occupations most exposed to AI. Young workers aged 15 to 24 and recent graduates are notably worse off in fields such as software development and customer service compared to senior counterparts.

The research, based on a labor market monitoring system built by RBA analyst Mike Major, focuses on entry-level roles and high AI-exposure occupations. It concludes that while Australia has not seen massive job displacement overall, hiring in highly exposed areas like software development, clerical work, and customer service has declined significantly, leaving young job seekers in a more difficult position. A joint study by Stanford University and Anthropic corroborates the trend, showing a 13-14% drop in employment for 22-25 year-olds in high AI-impact occupations. However, researchers caution that there is no direct causal evidence yet, and data from the World Economic Forum and LinkedIn show that AI-related new jobs and skills demand are growing simultaneously.

These findings reveal the structural impact of AI on the job market: entry-level positions are hit first, young people face greater employment pressure, but overall unemployment has not risen systematically, and the labor market is undergoing a reshaping of skill demands.

LATEST/Following the release of the RBA study, discussions on AI's employment impact have intensified. Recent developments show more research institutions focusing on the impact of AI on entry-level jobs and calling for better monitoring systems. Meanwhile, the industry is exploring skill training to help young people adapt to the AI-era job market.

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Total 2 reports · Latest first
  1. IT之家 · 智能时代T2·72 pts
    • Job postings fell most in occupations with highest AI exposure, hitting young workers and graduates hardest
    • Stanford and Anthropic studies show ~13-14% employment declines for 22-25 year-olds in high-exposure roles, without systemic rise in overall unemployment
    • Researchers stress a gap between theoretical automation potential and real-world adoption, with no direct causal proof yet