
Meta has made a bold play to secure its AI future. After acquisition talks with Perplexity AI fell through, the tech giant invested $14.3 billion for a 49% stake in Scale AI—one of the most influential data-labeling companies in the world.
Why Meta Chose Scale AI Over Perplexity
Instead of buying an AI chatbot competitor, Meta has doubled down on building the back-end infrastructure essential for powerful AI models. Scale AI specializes in providing high-quality, human-labeled data—an indispensable resource for training large language models like Meta’s own LLaMA.
This pivot emphasizes Meta’s long-term strategy: own the infrastructure, and you shape the future of generative AI. As reported by The Information, Meta’s investment includes preferred shares, ensuring deep integration with Scale AI’s data pipelines and decision-making.

Fueling Meta’s Next-Gen AI Ambitions
By partnering with Scale AI, Meta gains access to a reliable, scalable source of curated data to fuel its expansive model development—from social content moderation to multi-modal AI agents and beyond. As data quality becomes the next battleground for AI supremacy, this investment secures Meta’s place at the front of the race.
It’s also a strategic hedge: while others chase consumer-facing AI products, Meta is quietly building the infrastructure that everyone else will need.
What This Means for the AI Industry
This move signals a shift in AI strategy across big tech. Rather than just releasing new models, companies are locking down the supply chains of AI itself—data, compute, and labeling services. As infrastructure becomes as important as innovation, investments like this will shape who leads and who follows.
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