Nvidia Corp. (NVDA) is hunting for talent again. The chipmaker is in advanced discussions to acquire AI21 Labs in a deal valued between $2 billion and $3 billion, according to Ctech. And like its recent Groq acquisition, the real prize isn't the technology alone—it's the people.

The Talent Play

Industry insiders say Nvidia's primary interest is AI21's workforce: roughly 200 employees with advanced degrees and specialized expertise in machine learning. For a company facing mounting pressure from Google's internal chip development efforts, securing that kind of brainpower makes strategic sense.

AI21 Labs has been considered "on the shelf" by industry observers for years, with other tech giants like Google previously showing interest. The company recently pivoted its strategy, shutting down Wordtune (its consumer writing tool) to focus exclusively on enterprise solutions. Its current flagship product, Maestro, promises to improve model accuracy by 50%.

But here's the catch: AI21's annual revenue sits around $50 million—modest compared to the billions generated by competitors like OpenAI. This isn't about buying a revenue machine. It's about acquiring expertise.

Israel as Nvidia's Second Home

If finalized, the AI21 deal would become Nvidia's fourth major acquisition in Israel. CEO Jensen Huang has called the country a "second home" for the company, and he's backing that up with real investment. Huang recently announced plans to build a massive campus in Kiryat Tivon that could eventually house 10,000 workers by 2031.

This acquisition follows hot on the heels of Nvidia's $20 billion Groq deal announced last week, which similarly centered on a major talent transfer. Jonathan Ross, Groq's founder and the original architect of Google's TPU program, will join Nvidia along with Groq's president and other key team members. Groq will continue operating independently, while Nvidia gains access to its specialized language processing unit (LPU) technology.

The pattern is clear: Nvidia is aggressively building its bench through acquisitions, snapping up both cutting-edge technology and the engineering talent that created it. With Google ramping up its own chip efforts, the race for AI dominance increasingly looks like a race for the best people.