Meta is reportedly in talks to invest over $10 billion in Scale AI, according to Bloomberg. If finalized, this would mark the largest external artificial intelligence investment by Meta and one of the most significant funding events ever for a privately held company.
Scale AI, led by CEO Alexandr Wang, specializes in data labeling, a foundational component in training artificial intelligence models.
The company supports major players like Microsoft and OpenAI by providing annotated datasets that help improve machine learning systems.
This process often relies on a global network of contractors. Recently, the United States Department of Labor concluded an investigation into the company’s labor practices, deciding not to pursue further action regarding employee classification or compensation.
Scale AI’s Explosive Growth and Meta’s Existing Stake
Bloomberg reports that Scale AI earned $870 million in revenue last year and is projecting to more than double that with $2 billion in revenue this year.
Meta had previously participated in Scale AI’s Series F funding round, which raised $1 billion and valued the company at $13.8 billion.
The collaboration between the two companies extends beyond capital. Scale AI developed Defense Llama, a military-focused large language model, using Meta’s Llama 3 as the foundation.
This reinforces Meta’s growing influence in shaping not just commercial AI models but also those with national security implications.
Meta’s Ongoing Push into Advanced AI
Meta’s continued interest in artificial intelligence aligns with its broader push toward next-generation technologies.
From advancements in hands-free interaction using AirPods (read more) to enhanced privacy and AI tools in iOS 19 (see details), the company remains deeply invested in AI innovation across both software and hardware platforms.
If this deal goes through, Meta will not only solidify its role in the artificial intelligence arms race but also make history with one of the largest private investments in the field.
This potential move highlights how crucial reliable data and infrastructure have become in accelerating the future of intelligent systems.
For context, Scale AI is part of a fast-growing ecosystem supporting the development of advanced models like large language models, now critical to tools used daily across industries.
