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A detailed summary and analysis of a preliminary Harvard study from August 2025, which examined the impact of Generative AI on the U.S. labor market from 2015 to 2025. The core finding is that AI acts as a "seniority-biased technological change," significantly reducing demand for junior/entry-level employees in AI-adopting firms, while demand for senior staff remains strong or increases. Using rigorous econometric analysis on data covering over 62 million employees, the research discovered that companies are primarily cutting back on new junior hiring rather than laying off existing staff. Furthermore, the analysis found that the mid-tier of college graduates (from Tier 2 and Tier 3 schools) are the most vulnerable, lacking both the unique edge of elite graduates and the cost advantage of lower-tier hires. Finally, the source expands the discussion to a systemic challenge, arguing that if the economic gains from AI are not widely distributed, increased efficiency could lead to growing inequality and a consumption-stalled economy.