Meta’s aggressive talent war in the AI space has reached a stunning new level, with CEO Mark Zuckerberg now offering compensation packages as high as ₹1,600 crore ($200 million) to secure top researchers from rivals like Apple, OpenAI, Google DeepMind, and Anthropic. This is part of Meta’s boldest attempt yet to dominate the race toward artificial general intelligence (AGI) through its newly launched Meta Superintelligence Lab (MSL).
💰 Eye-Popping Salaries & Star Hires
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₹1,600 crore ($200 million) reportedly offered to Ruoming Pang, a leading AI researcher from Apple who recently joined Meta.
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₹800 crore ($100 million) offer extended to Trapit Bansal, one of the key minds behind OpenAI’s o-series models. Bansal is now part of MSL.
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Meta has already hired at least 11 high-profile AI scientists, including:
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Lucas Beyer, Xiaohua Zhai, Jack Rae, Johan Schalkwyk (from Google DeepMind)
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Ji Lin, Shengjia Zhao, Jiahui Yu (from OpenAI)
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These packages rival or exceed the compensation of Wall Street CEOs, making this one of the most aggressive AI hiring sprees Silicon Valley has ever seen.
🧠 Meta Superintelligence Lab (MSL)
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Launched July 2025, MSL is Meta’s elite research division for building AGI.
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Led by:
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Nat Friedman (former GitHub CEO)
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Alexandr Wang (founder & former CEO of Scale AI)
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Objective: Build human-level reasoning systems and leap ahead in AI capabilities.
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Motivation: Meta was reportedly disappointed with the underwhelming reception to its LLaMA 4 model. MSL is its reset and reloaded strategy.
🏗️ Meta’s Infrastructure Overhaul
Zuckerberg has committed to building one of the world’s largest AI infrastructures, including:
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Prometheus: A next-gen “AI data supercluster” expected by 2026.
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Hyperion: A 5-gigawatt computing platform in progress.
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Tent-based data centers: Rapid deployment centers using prefab cooling modules—echoing Elon Musk’s “tent factory” model—to bring AI workloads online quickly.
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$14 billion investment in Scale AI to secure high-quality training data.
These efforts point to Meta’s goal of moving from foundation models to truly general intelligence—outpacing both OpenAI and Google.
🔁 Strategic Shift: Why It Matters
Meta’s pivot is a clear signal that:
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The AI race is no longer just about models — it’s about people, compute, and data.
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Zuckerberg is betting the future of Meta not on social media, but on AGI leadership.
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Offering CEO-level salaries to researchers shows a new valuation of intellectual capital in tech.
And with this, Meta is trying to shift the conversation: from being a follower (after ChatGPT and Gemini) to a leader in defining the next phase of AI.
