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Meta AI investment hits $15B to recover after Llama 4 fails

Meta AI investment hits $15B to recover after Llama 4 fails
Meta AI investment hits $15B to recover after Llama 4 fails

Key Points

  • Meta AI investment hits $15B to recover after Llama 4 fails
  • Scale AI now valued at $29B, doubling from last year
  • Scaleโ€™s co-founder Alexandr Wang joins Metaโ€™s AI team
  • Meta aims to close AI gap after Llama 4 underperforms

Meta is making a bold $15 billion move to stay competitive in the rapidly evolving AI landscape. The tech giant has invested heavily in data-labeling startup Scale AI, a key player in helping AI models perform better through high-quality training data.

The deal values Scale AI at $29 billion, doubling its valuation in just a year. As part of the agreement, Meta will now own a 49% stake in the company. Scaleโ€™s co-founder and CEO, Alexandr Wang, will join Metaโ€™s AI division to work on strengthening its artificial intelligence models. However, his exact role at Meta remains undisclosed.

Metaโ€™s investment also marks a growing trend where major tech firms not only invest in AI startups but also acquire top talent. Industry watchers see this as a critical strategy to accelerate AI breakthroughs.

Meta CEO Mark Zuckerberg is under pressure to catch up with AI leaders like OpenAI, Microsoft, and Google. Despite pouring billions into AI, Metaโ€™s latest large language model, Llama 4, has failed to impress. Independent benchmarks show that it lags behind competitors in reasoning and coding tasksโ€”a major concern for a company aiming to lead in AI.

With this $15 billion bet on Scale AI, Zuckerberg hopes to shift the momentum in Metaโ€™s favor.

Meta and Scale AI eye the future of superintelligence

Scale AI has grown from a humble data-labeling company to a central player in todayโ€™s AI boom. Its technology ensures that dataโ€”whether images or textโ€”is properly labeled and ready for training AI models. High-quality data is critical in building models that can reason, code, and even mimic human intelligence.

Scaleโ€™s revenues are expected to hit $2 billion this year, largely driven by partnerships with companies like OpenAI. The deal will also deliver big returns to Scaleโ€™s early investors, including Accel, Tiger Global Management, and Index Ventures. Tigerโ€™s $200 million investment alone is now worth over $1 billion.

Alexandr Wang, who is only 28, is seen as a rising star in Silicon Valley. He has built strong ties with key figures such as OpenAIโ€™s Sam Altman. While Wang will remain on Scaleโ€™s board, Jason Droegeโ€”known for launching Uber Eatsโ€”will take over as Scaleโ€™s Chief Strategy Officer.

Metaโ€™s latest move is part of Zuckerbergโ€™s larger ambition to develop “superintelligence”โ€”AI systems that surpass human-level intelligence. Speaking at VivaTech in Paris this week, Metaโ€™s chief AI scientist Yann LeCun reiterated that the company’s goal is to eventually exceed human intelligence.

Meta is also planning to spend most of its massive $72 billion capital budget this year on AI-related infrastructure, such as data centers and servers. This level of investment underscores just how fiercely competitive the AI space has become.

The $15 billion Scale AI deal mirrors similar aggressive strategies by other tech giants. Microsoft spent $650 million last year to secure talent and tech from Inflection AI.

Google paid $2.7 billion for a deal with Character.AI. Meanwhile, the industry is watching legal battles unfold, such as Reddit suing Anthropic over AI training dataโ€”highlighting just how valuable high-quality data has become.

Metaโ€™s talent war intensifies with Scale AI hire

Metaโ€™s acquisition of Alexandr Wang is not just about dataโ€”it’s about talent. In todayโ€™s AI world, experienced leaders and elite engineering teams are more valuable than ever.

Wang will join Metaโ€™s AI division as it struggles to close the gap with rivals. The company has been actively trying to poach top researchers and engineers, with Zuckerberg recently forming a new โ€œsuperintelligenceโ€ team. Hiring Wang is a significant step in this direction.

Meanwhile, other tech giants are deploying similar strategies. Microsoftโ€™s recruitment of Mustafa Suleyman from Inflection AI and Googleโ€™s $2.7 billion deal with Character.AI reflect a broader industry pattern: investing in both talent and IP simultaneously.

With Wang now on board, Meta hopes to create a stronger foundation for its next-generation AI models. The company knows that without top minds driving innovation, no amount of data or hardware will be enough to dominate this fast-moving field.

As competition intensifies, other players are also exploring new AI applicationsโ€”like AI-driven weather models and innovations in unexpected sectors, such as Microsoftโ€™s plans for an Xbox handheld, which shows how AI is influencing nearly every corner of tech.

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Aishwarya Patole
Aishwarya is an experienced AI and tech content specialist with 5+ years of experience in turning intricate tech concepts into engaging, relatable stories. With expertise in AI applications, blockchain, and SaaS, she creates data-driven articles, explainer pieces, and trend reports that drive impact.

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