US EditionMeta in Talks over Scale AI Investment that Could Exceed $10 Billion, Bloomberg Reports
- Meta is discussing an investment exceeding $10 billion in Scale AI to improve AI capabilities across its platforms in 2025.
- This investment follows Meta’s focus on AI advancement amid intensifying competition and a recent $65 billion AI spending pledge by CEO Mark Zuckerberg.
- Established in 2016 and led by Alexandr Wang, Scale AI delivers essential data-labeling solutions to prominent clients such as Microsoft and OpenAI, and has recently secured a contract with the U.S. Department of Defense.
- The company reported about $870 million revenue in 2024 and forecasts $2 billion in sales for 2025, with its valuation currently near $14 billion and potentially rising to $25 billion.
- Meta’s planned investment could become its largest external commitment to AI, signaling a strategic effort to enhance its role in the rapidly changing AI landscape amid new technological and regulatory challenges.
28 Articles
28 Articles
Meta reportedly in talks to invest billions of dollars in Scale AI
Meta is discussing a multi-billion dollar investment in Scale AI, according to Bloomberg. In fact, the deal value could reportedly exceed $10 billion, making it the largest external AI investment for the Facebook parent company and one of the largest funding events ever for a private company.
Meta in talks for Scale AI investment that could top $10 billion
Meta Platforms Inc. is in talks to make a multibillion-dollar investment into artificial intelligence startup Scale AI, according to people familiar with the matter. The financing could exceed $10 billion in value, some of the people said, making it one of the largest private company funding events of all time. The terms of the deal are not finalized and could still change, according to the people, who asked not to be identified discussing pri…
Meta talking to Scale AI for $10bn investment: Is AI's largest private funding deal coming soon?
Meta’s potential investment would be its largest external AI outlay so far. Unlike its peers, the tech giant has largely relied on internal research and open-source AI development
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