扎克伯格，也顶不住了

Core Viewpoint - Meta has shifted its strategy in the AI talent acquisition race, moving from aggressive hiring to a hiring freeze, indicating a need for organizational restructuring and cost control amidst rising concerns from Wall Street about the sustainability of its AI investments [4][5][21]. Group 1: Hiring Strategy - Meta's approach to AI talent acquisition in early 2025 can be summarized as fast, aggressive, and expensive, with offers reaching up to $300 million over four years for some researchers, and top candidates reportedly being offered as much as $1.5 billion [10][11]. - The company has employed a "reverse acquihire" strategy, targeting key talent from competitors without acquiring entire companies, exemplified by a $14 billion minority stake investment to bring in Scale AI's co-founder as Chief AI Officer [11][12]. - By mid-2025, Meta had successfully recruited at least 50 AI professionals from competitors, with 40% coming from OpenAI and 20% from Google [12]. Group 2: Organizational Changes - Following a series of internal restructuring, Meta has consolidated its AI operations into the "Meta Superintelligence Labs," which will be divided into four teams focusing on AGI research, AI products, infrastructure, and long-term exploration [16][18]. - The recent hiring freeze has been framed as a necessary step for foundational organizational planning, allowing Meta to solidify its new structure before further recruitment [4][17]. Group 3: Market Concerns - Wall Street analysts have raised alarms about the escalating costs associated with AI talent acquisition, questioning whether these investments will yield measurable returns or simply dilute shareholder value [21][22]. - The tech sector has experienced a collective stock price decline due to "AI spending anxiety," with concerns about the return on investment for the billions spent on AI initiatives [23]. - Meta's capital expenditure guidance for 2025 has been raised to a maximum of $72 billion, primarily directed towards AI infrastructure and talent, which has led to investor skepticism regarding profitability [23][24].