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时薪150美元,华尔街精英亲自教AI干掉“自己人”
3 6 Ke· 2025-11-25 06:00
Core Insights - The article discusses the trend of former Wall Street bankers transitioning into roles as AI trainers, leveraging their financial expertise to assist AI companies like OpenAI, xAI, and Scale AI in model training [1][4][12] - This shift indicates a significant transformation in the financial industry, where AI is poised to replace entry-level positions traditionally held by human analysts and advisors [7][8][23] Group 1: Wall Street Professionals Transitioning to AI - Many Wall Street professionals, including MBA students and former hedge fund employees, are joining AI startups to utilize their financial knowledge in training AI models [3][4] - The trend reflects a broader movement where financial experts are becoming key players in shaping the future of AI in finance [4][12] Group 2: AI Companies' Recruitment Strategies - Companies like xAI and OpenAI are actively recruiting financial industry experts to enhance their AI models, with xAI planning to expand its AI tutor team by tenfold [6][13] - OpenAI's "Mercury" initiative aims to hire over 100 former Wall Street investment bankers to develop AI financial models, offering compensation of $150 per hour [7][13] Group 3: Impact on Entry-Level Financial Jobs - The rise of AI in finance is expected to lead to the elimination of many entry-level positions, as AI systems become capable of performing tasks traditionally done by junior analysts [7][8][23] - The article highlights concerns from the public regarding the potential job losses for junior bankers, with predictions that AI could surpass human capabilities in financial certifications like CFA [8][12] Group 4: Compensation and Job Market Dynamics - AI companies are offering a wide range of compensation for AI trainer roles, from $15 to $150 per hour, which may not attract top-tier Wall Street talent [21][25] - The financial industry is experiencing a wave of layoffs, with major firms like Goldman Sachs and Morgan Stanley planning significant staff reductions, further pushing former employees towards AI training roles [23][25]