
Meta Platforms (META), the parent company of Facebook, has made headlines for its aggressive and costly campaign to establish itself as a leader in artificial intelligence. In recent months, the company has dramatically increased its spending, targeting the world’s most sought-after AI researchers with compensation packages that, according to industry reports, can reach or even exceed $100 million over several years. These offers are typically reserved for a select group of senior researchers and executives, reflecting the extreme scarcity and value of elite AI talent.
The most prominent example of Meta’s willingness to spend came with its $14.3 billion investment for a 49% stake in Scale AI, a leading data-labeling company. This move was widely seen as a strategic “acqui-hire,” designed not only to gain access to Scale AI’s technology, but also to secure the leadership and expertise of its founder, Alexandr Wang, and his team. This single transaction stands as one of the largest talent-driven investments in the technology sector’s history, signaling Meta’s determination to outpace competitors like OpenAI and Google (GOOG) (GOOGL). Meta is already the largest buyer of compute outside the traditional cloud hyperscalers like Amazon (AMZN) and Alphabet, showing its intent to compete with these traditional powerhouses. This comes after Meta announced a $10 billion data center in December, and its plans to spend as much as $72 billion on AI in 2025.