Meta has made a bold and expensive bet on artificial intelligence. The company has reportedly lured Ruoming Pang, Apple’s top AI models executive, with a staggering compensation package exceeding $200 million over several years. This move is part of Meta’s aggressive push to assemble a dream team for its newly formed “superintelligence” group—a clear signal that the AI race is no longer just about innovation but also talent warfare.

Who is Ruoming Pang, and why did Meta want him?

Ruoming Pang led Apple’s AI models team, a core division responsible for shaping the future of AI integration across Apple’s ecosystem. Pang has been a behind-the-scenes architect of Apple’s push into foundational models and on-device AI—an area where Apple has traditionally lagged behind peers like Google and Meta.

By recruiting Pang, Meta not only secures a powerful technical mind but also gains insider expertise from one of its most secretive competitors. According to Bloomberg, Pang’s multi-year compensation dwarfs what most executives make in the tech world, with the sole exception of Apple CEO Tim Cook. This reflects just how urgently Meta wants to lead the next wave of artificial general intelligence (AGI).

Why is Meta spending big on AI hires?

A deliberate strategy to dominate AI

Meta’s move is not a one-off fluke. CEO Mark Zuckerberg has been vocal about the company’s vision of building “superintelligence”—a term that refers to AI systems far exceeding human capabilities. To achieve this, Meta has begun assembling a who’s who of AI leaders:

• Alexandr Wang, former CEO of Scale AI, now serves as Meta’s Chief AI Officer.
• Nat Friedman, ex-GitHub CEO, co-leads the unit and focuses on applied research and product development.
• Daniel Gross, founder of AI startup Safe Superintelligence, is heading AI product integration.

These hires indicate that Meta isn’t just throwing money at AI but is methodically constructing a leadership structure around long-term AGI development and product scalability.

Stock-based incentives as a retention tool

Most of Pang’s reported $200 million package is tied to Meta’s stock performance, with vesting schedules and milestone targets. This aligns with Meta’s broader compensation philosophy—offering massive rewards for long-term commitment and impact.

This contrasts sharply with Apple’s more conservative salary structure. Aside from Cook, very few at Apple receive such outsized packages. Apple’s reluctance to match Meta’s offer may not be surprising, but it does raise questions about how it plans to retain top AI talent going forward.

Why didn’t Apple fight to keep Pang?

Apple’s compensation culture holds it back

Apple is known for building loyalty through meaningful work and internal promotion, not massive paychecks. While it regularly issues stock options to key employees, rarely does it offer packages of this scale—unless it’s to retain top leadership or ward off a poaching attempt.

In Pang’s case, Apple reportedly did not try to counter Meta’s offer. According to insiders, this is consistent with Apple’s culture of not overbidding for talent, even if it means losing key contributors.

Is Meta poaching from other AI labs too?

OpenAI, Google DeepMind also on Meta’s radar

OpenAI CEO Sam Altman recently revealed that Meta has approached several of his engineers with signing bonuses as high as $100 million. While most have declined, citing purpose-driven work and research freedom, the sheer size of Meta’s offers is reshaping the AI job market.

Meta has also previously recruited AI experts from Google Brain, DeepMind, and academic institutions. This suggests a clear trend: the company is treating talent acquisition like a strategic arms race.

What does this mean for the future of AI?

A new era of corporate AI rivalry

Meta’s recruitment of Pang and others signals the beginning of an intensified phase of AI rivalry among tech giants. While companies like OpenAI and Anthropic focus on alignment and safety, Meta is doubling down on building the most capable AI systems—and it’s willing to pay whatever it takes.

This shift has broader implications:

• AI brain drain from academic labs and startups into corporate mega-projects.
• Higher compensation expectations for top-tier AI engineers and researchers.
• Acceleration of AI product rollouts, especially in consumer-facing platforms like Facebook, Instagram, and WhatsApp.

Meta’s bet: AI as the next platform shift

Just as mobile defined the last decade of tech, Meta sees AI as the foundational layer of the next one. From chatbots and avatars to intelligent assistants and generative content tools, Meta wants to be at the center of it all. Hiring Pang and building a superintelligence team is about staking a claim early.

Meta has poached Ruoming Pang, Apple’s former head of AI models, with a staggering $200 million package—surpassing almost all compensation packages at Apple. Pang joins a powerhouse team at Meta focused on building AGI, alongside divs like Alexandr Wang, Nat Friedman, and Daniel Gross. The move underscores Meta’s ambition to lead the superintelligence race and sets off a new wave of talent competition across Big Tech.

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