抱歉，年薪百万只是“低保”

Core Insights - The article discusses the significant salary increases and talent competition in the artificial intelligence (AI) sector, highlighting how top talent is negotiating salaries in the millions, contrasting sharply with traditional job markets [5][7][41]. Salary Revolution - Nvidia's CEO Jensen Huang claims that his team has produced more billionaires than any other CEO, reflecting the company's stock price surge and the wealth accumulation of long-term employees [9]. - Salaries for AI research scientists can reach up to $489,000 at Meta, while OpenAI offers around $440,000, and Google's DeepMind can go as high as $893,000 for senior positions [14]. - AI product managers earn between $150,000 and $900,000, with Netflix setting a notable salary range of $300,000 to $900,000 for this role [15][16]. - The emergence of roles like "prompt engineers" and "Chief AI Officers" has seen salaries of $270,000 and $351,000 respectively, indicating a shift in job market dynamics [18][19]. - OpenAI's remote employees earn between $160,000 and $490,000, with a median base salary of $285,000, showcasing the high value placed on AI talent [20]. Talent War - Meta's aggressive recruitment strategy includes a $14.3 billion investment in Scale AI to attract its co-founder, Alexandr Wang [22]. - Mark Zuckerberg has taken a personal role in recruitment, creating a WhatsApp group for hiring discussions and directly reaching out to potential candidates [24]. - OpenAI has responded to Meta's poaching attempts by offering counter-offers to retain talent, with employees potentially receiving $1.5 million in stock as part of their compensation [32][33]. Economic Justification - The high salaries in AI are justified by the substantial costs associated with building AI models, with estimates indicating that training models like GPT-4 and Gemini 1.0 Ultra can exceed $79 million and $192 million respectively [42][45]. - The scarcity of top AI talent, with only about 5,000 individuals capable of designing advanced AI models, has created a seller's market, driving up salaries [46][47]. Employment Structure Changes - The article notes a dual-track employment structure in the tech industry, where AI elites command multi-million dollar offers while traditional roles face obsolescence [51][56]. - Companies like Meta are laying off employees while simultaneously offering lucrative salaries to AI researchers, indicating a shift in workforce dynamics [53][54].