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Meta's AI Ambitions Encounter Internal Struggles and Challenges
Planner: kris
September 1, 2025
Meta's ambitious push into artificial intelligence is showing signs of strain with growing internal turmoil and shifting strategies emerging just two months after a major investment.The company's high-profile deal, valued at approximately $14.3 billion to take a near half-stake in data-labeling firm Scale.ai and bring its founder Alexander Wang into Meta to lead its superintelligence labs, was hailed as a bold step toward AGI.Despite the financial firepower, cracks are already visible in the partnership.One executive, Ruben Meyer, who had spent years at Scale.ai, left Meta after barely two months, reportedly citing personal reasons.At the same time, internal teams have begun sourcing data-labeling from other providers, suggesting doubts about the quality or fit of Scale.ai services.Adding to the instability, Meta's superintelligence lab is hemorrhaging talent.Several top AI researchers, some recruited with substantial compensation packages, have either quit or declined to start.Notably, Shengjia Zhao, a co-creator of ChatGPT, threatened to leave Meta within days of joining, reportedly prompting a rapid promotion to chief AI scientist.Other notable departures include Ethan Knight, Avi Verma, Chaya Nayak, and Rowan Verma, with some even returning to openAI.Meta's undergone at least four major reorganizations of its AI division in just over half a year.Reports say longtime staffers feel sidelined, and clashes have emerged between new hires and veterans over resources, direction, and structure.The company's marquee generative AI model, known as Llama Behemoth, failed to meet expectations and has since been deprioritized.Meta has paused hiring for all but essential roles and refocused its organization into four distinct teams—TBD Lab, FAIR, Products and Applied Research, and MSL Infra.The AGI Foundations group has been dissolved.All of this comes amid Meta's broader challenge.A flagship AI app, launched in April, continues to suffer from bugs and underwhelming user reception, underscoring ongoing struggles in delivering compelling AI products.Meta's AI campaign, once brimming with bold promises, now faces pressure from within.The massive investment in scale AI and executive talent hasn't yet translated to stability or success.Meta's future progress hinges on whether it can retain top researchers, resolve cultural frictions, and deliver concrete results in a fiercely competitive AI landscape.