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巨头沦为人才战看客,亚马逊为何难吸引AI大牛?
Feng Huang Wang· 2025-08-29 04:33
Core Insights - Amazon is struggling to attract top AI talent due to its unique compensation structure, reputation for being behind in AI, and strict return-to-office policies [1][4][7] Compensation Challenges - The internal document highlights that Amazon's fixed salary ranges and egalitarian pay philosophy result in lower compensation compared to competitors, making it less attractive for top tech talent [4][10] - The company has not increased salary ranges for key positions in recent years, which has hindered its ability to recruit top AI talent [4] - Amazon's stock vesting plan, which defers more compensation to later years, is less appealing to new hires, including executives who often do not receive cash bonuses [4] Perception of AI Lag - Amazon is perceived as lagging in the AI field, particularly in generative AI, which has intensified competition for specialized talent [5][6] - Reports indicate that Amazon's engineer retention rate is lower than that of competitors like Meta, OpenAI, and Anthropic [5] - Concerns about Amazon's market share being eroded by competitors were raised during a recent earnings call, leading to a decline in the company's stock price [6] Return-to-Office Policy - Amazon's strict return-to-office policy has created logistical challenges and limited its ability to recruit high-demand talent with generative AI skills [7][9] - The policy requires employees to relocate to designated office centers, which has led to job offer rejections from potential candidates [8][9] - Reports indicate that Oracle has successfully recruited over 600 employees from Amazon in the past two years, largely due to this strict policy [9] Recruitment Strategy Adjustments - In response to these challenges, Amazon plans to optimize its compensation and location strategies and establish specialized recruitment teams for generative AI [6][8] - The company is exploring the possibility of offering more flexible work location positions to attract talent [7][8]