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Meta backs Scale AI at $29B valuation and scoops up its founder

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Meta just poured major capital into Scale AI at a valuation topping $29 billion, expanding their data partnership and bringing Scale founder Alexandr Wang over to Meta to lead AI initiatives. Wang will keep a Scale board seat while former Uber Eats leader Jason Droege steps in as interim CEO. Why it matters: Meta locks down high-grade training data pipelines while snapping up one of the industry's most influential builders.

Meta backs Scale AI at $29B valuation and scoops up its founder
Image: scale.com

The race for AI dominance isn't just about hoovering up GPUs anymore. It's about locking down elite training data and the rare minds who know how to build it.

Data labeling heavyweight Scale AI announced a massive new investment from Meta that values the company at over $29 billion. But the real shocker wasn't the valuation—it was the talent shuffle.

Scale founder Alexandr Wang is officially joining Meta to lead its AI efforts. Wang will remain on Scale's board of directors, but his day-to-day focus is shifting directly into Mark Zuckerberg's empire.

An Uber Eats veteran takes the reins

With Wang heading over to Meta, Scale's board named Chief Strategy Officer Jason Droege as interim CEO.

Droege joined Scale in September 2024 and brings serious operator credentials. He previously founded Uber Eats, scaling it to a $19 billion gross merchandise volume run rate before stepping down in 2020. He also drove the cloud transformation at Axon and spent time as a venture partner at Benchmark.

Scale is also doing something unusual with the cash injection. Beyond funding technical innovation and customer deals, the company will distribute proceeds from Meta's investment to existing shareholders and vested equity holders, delivering immediate liquidity while letting them keep their equity stake.

Following the deal, Meta will hold a minority stake in Scale. Scale insisted that it remains an independent company committed to serving its existing roster of leading AI labs, global enterprises, and governments.

Locking down the data supply line

For Meta, the upside is immediate. The agreement significantly broadens their commercial partnership to speed up deployment of Scale's specialized data pipelines across Meta's models.

As the industry exhausts public web text, high-grade expert feedback and reinforcement learning data have become the defining bottleneck. Scale sits directly at the center of that ecosystem.

Instead of just signing enterprise contracts, Meta backed the truck up, bought a stake, and pulled the industry's premier data architect directly into its internal war room.

Why it matters

For the AI ecosystem, this deal creates an immediate conflict-of-interest headache.

Scale has built its empire on being Switzerland for AI data, serving rival labs, Big Tech competitors, and the defense sector alike. Having its founder actively working on Meta's AI initiatives while retaining a Scale board seat is bound to make competing clients nervous about data isolation and strategic focus.

For Meta, the move is ruthlessly pragmatic. While rivals try to lure researchers with individual compensation packages, Meta effectively used a balance-sheet investment to swallow top-tier leadership and lock down prime data infrastructure in one stroke.

We think this is a dream liquidity event for Scale's early team and investors at a staggering $29 billion valuation. But for interim CEO Jason Droege, the hard part starts now: proving to the rest of the AI world that Scale can still be trusted with their most confidential training recipes.

Sources (2)

  1. [1]
    scale.com(opens in a new tab)Originalscale.com
  2. [2]
    theinformation.com(opens in a new tab)Reporttheinformation.com

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