Key Takeaways:
- Meta held private discussions to acquire Perplexity AI, a fast-growing search startup valued around $14 billion, before investing in Scale AI.
- The company attempted to recruit Perplexity’s CEO, Aravind Srinivas, but talks fell through and no agreement was reached.
- Meta ultimately invested approximately $14.3 billion in Scale AI, securing a 49% non-voting stake and onboarding CEO Alexandr Wang as part of a broader AI expansion strategy.
Meta Platforms reportedly explored acquiring Perplexity AI before shifting its focus to a significant investment in Scale AI, according to people familiar with the matter. The discussions included interest in bringing on Perplexity CEO Aravind Srinivas as part of a broader strategy to expand Meta’s capabilities in generative AI and search.
Perplexity, founded in 2022, has quickly positioned itself as one of the most prominent startups in AI-assisted search. Known for its user-facing AI assistant that offers citation-backed answers, the company has drawn significant attention from investors and tech rivals alike. Its most recent funding round placed the company’s valuation at around $14 billion, making it one of the most valuable generative AI startups currently operating.
Sources familiar with the matter say Meta’s interest in Perplexity went beyond a passive investment. The company considered an outright acquisition, in part to secure talent and accelerate its roadmap in AI-powered search. While exact terms of the proposed acquisition were never finalized, the conversations did not lead to a deal. Perplexity opted to remain independent, and no formal offer was made public.
After the talks with Perplexity concluded, Meta pivoted to invest in Scale AI, a company that provides data infrastructure and labeling services for AI development. That investment totaled roughly $14.3 billion and gave Meta a 49% non-voting stake in the company. As part of the arrangement, Scale CEO Alexandr Wang agreed to join Meta, signaling that talent acquisition remains central to Meta’s strategy even when direct acquisitions fall through.
The decision to back Scale AI instead highlights CEO Mark Zuckerberg’s focus on accelerating Meta’s generative AI efforts through external partnerships and targeted talent recruitment. In this case, onboarding Wang, who built Scale into a key infrastructure partner for leading AI labs, gives Meta access to deep expertise in data sourcing, model training, and operational scaling.
The timing of the moves is also notable. Scale AI’s valuation surged following the Meta deal, drawing attention from regulators and competitors. Google, which had been a Scale customer, reportedly terminated its contract following Meta’s investment, citing concerns about conflicts of interest. The fallout underscores how competitive and closely watched the AI supply chain has become, especially when major platforms make strategic bets on infrastructure providers.
Meta has recently reorganized internally to push forward its AI goals more aggressively. It created a dedicated superintelligence team led by Zuckerberg, consolidating key AI projects including its Llama model family and broader research efforts. This team is tasked with rapidly developing general-purpose AI agents that can compete with offerings from OpenAI, Anthropic, and Google DeepMind.
The failed attempt to acquire Perplexity and the successful investment in Scale AI both reflect how Meta is thinking about AI expansion: speed, influence, and access to talent appear to outweigh the traditional build-versus-buy dichotomy. Where Meta can’t acquire, it’s willing to invest heavily—as long as the relationship yields strategic control or intellectual capital.
While Meta didn’t end up acquiring Perplexity, the startup’s rapid growth and independent trajectory still position it as a formidable player in AI-assisted search. As the space continues to evolve, companies like Perplexity could remain attractive targets—not only for big tech acquirers but for partnerships or competitive countermeasures.
Meanwhile, Scale AI’s deeper alignment with Meta suggests the company is securing more direct control over core parts of its AI supply chain—from training data to model evaluation and deployment infrastructure. That move gives Meta a potential edge in building the next generation of foundation models, while potentially limiting access for rivals.
As more AI startups scale rapidly into multibillion-dollar valuations, Big Tech’s strategy appears to be shifting. Rather than waiting for companies to mature, major platforms are intervening earlier—either to acquire outright, secure board-level influence, or bring top talent into their own AI divisions.
With multiple major players—including Microsoft, Amazon, and Google—competing for AI leadership, the Meta–Scale AI partnership is another signal that the race is intensifying, and that the battle will be as much about who controls the ecosystem as who builds the smartest models.
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Rich Tehrani serves as CEO of TMC and chairman of ITEXPO #TECHSUPERSHOW Feb 10-12, 2026 and is CEO of RT Advisors and is a Registered Representative (investment banker) with and offering securities through Four Points Capital Partners LLC (Four Points) (Member FINRA/SIPC). He handles capital/debt raises as well as M&A. RT Advisors is not owned by Four Points.
The above is not an endorsement or recommendation to buy/sell any security or sector mentioned. No companies mentioned above are current or past clients of RT Advisors.
The views and opinions expressed above are those of the participants. While believed to be reliable, the information has not been independently verified for accuracy. Any broad, general statements made herein are provided for context only and should not be construed as exhaustive or universally applicable.
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