Meta is reportedly weighing a much larger commitment to Scale AI, the data-labeling company that supports artificial intelligence model training for major customers. According to Bloomberg, the investment under discussion could be worth more than $10 billion.
If completed at that scale, the deal would stand out for two reasons. It would be the largest external AI investment by Facebook’s parent company, and it would rank among the largest funding events ever for a private company.
Why Scale AI Matters to Model Training
Scale AI provides data labeling services used by companies such as Microsoft and OpenAI. That work helps organizations prepare and structure the data needed to train AI models.
Data labeling is a practical but central part of the AI supply chain. Models do not improve only because companies build larger systems or spend more on computing infrastructure. They also depend on organized data that can be used during training, evaluation, and improvement.
For companies building AI products, a provider like Scale AI can sit close to the foundation of the work. Its services support the process that turns raw information into something more useful for machine learning teams.
The source also notes that much of Scale AI’s labeling work is done by contractors. That labor model has drawn scrutiny: the Department of Labor recently dropped its investigation into whether the company was misclassifying and underpaying employees.
The Reported Size of Meta’s Potential Investment
Bloomberg reported that Meta is discussing a multibillion-dollar investment in Scale AI. The potential deal value could exceed $10 billion.
That figure is important because it would mark a major expansion of Meta’s outside AI spending. The company has already backed Scale AI, but a transaction at the reported size would move the relationship into a different category.
The reported talks also come against a backdrop of fast revenue growth at Scale AI. According to Bloomberg, the company saw $870 million in revenue last year and expects to bring in $2 billion this year.
Those numbers help explain why Scale AI could attract such a large investment. A company tied to AI model development, working with major customers, and expecting sharply higher revenue would naturally sit near the center of investor attention.
Meta and Scale AI Already Have Shared History
Meta is not approaching Scale AI as a completely new outside bet. It was already an investor in Scale AI’s $1 billion Series F.
That funding round valued Scale AI at $13.8 billion. A new investment that could exceed $10 billion would therefore build on an existing financial relationship between the two companies.
The connection is also technical. Scale AI built Defense Llama, a large language model designed for military use, on top of Meta’s Llama 3.
That detail shows that Scale AI is not only a service provider in the broader AI market. It has also built directly on Meta’s model ecosystem. For Meta, that existing overlap may make Scale AI more strategically relevant than a typical AI startup investment.
What the Deal Would Signal
The source does not say whether the discussions will result in a completed investment. It also does not provide terms beyond the reported possibility that the value could exceed $10 billion.
Still, the talks themselves point to several clear implications from the facts available:
- Meta is looking beyond internal AI development. A multibillion-dollar external investment would show interest in companies that support the wider AI stack.
- Data infrastructure remains strategically valuable. Scale AI’s business is tied to labeling and preparing data for model training, a core input for AI systems.
- Existing partnerships can deepen quickly. Meta has already invested in Scale AI and has a model connection through Defense Llama and Llama 3.
- Scale AI is operating at a large private-company scale. The source reports $870 million in revenue last year and an expectation of $2 billion this year.
For readers watching the AI market, the reported Meta and Scale AI talks are less about a single funding headline than about the infrastructure behind modern AI. Model builders need data, labeling systems, contractors, customers, and technical platforms. Scale AI sits in that chain.
If a deal of more than $10 billion happens, it would give Meta a larger position in one of the companies helping other major AI players train their systems. Even without a completed transaction, the report shows how valuable the AI data layer has become.
The Bottom Line
Meta is reportedly in talks to invest billions of dollars in Scale AI, with the deal value potentially exceeding $10 billion. Scale AI’s role in data labeling, its customers such as Microsoft and OpenAI, its reported revenue growth, and its prior ties to Meta all make the potential transaction significant.
The clearest takeaway is that AI competition is not only about public-facing chatbots or model releases. It is also about the companies that prepare the data, support the training process, and build on top of major model ecosystems.