Zuckerberg and Musk’s AI Failure Club Has Its Perks

When Mark Zuckerberg gets a bold new business idea, he likes to throw money at it. Last summer, he dropped $14.3 billion for a 49% stake in Scale AI, allowing him to poach its wunderkind founder Alexandr Wang to lead a new project to build artificial-intelligence systems that surpass human intelligence. He doled out $300 million pay packages to poach top scientists to build an all-star team called Superintelligence Labs.

Maybe it was the clashing egos or Meta Platforms Inc.’s chronic inability to develop an original idea that will ever be as lucrative as social media — see the company’s painfully expensive investments in the metaverse and crypto — but several of its rock star researchers have since fled to other labs, and its new Muse Spark AI system hasn’t matched the top benchmarks of frontier models from OpenAI and Anthropic PBC. Meta itself acknowledged gaps on coding and agents, and its attempts at building open-source AI models under the brand name Llama have also floundered.

Zuckerberg isn’t quite throwing in the towel, but his planned pivot to becoming a cloud business provider, recently reported by Bloomberg News, suggests a grudging acceptance that he won’t get the money or prestige he craves from building AI models. He’s now exploring plans to sell computing power to rival AI labs — an unsexy, strategic pivot to infrastructure that could become a lucrative business line, so long as the AI boom doesn't go bust.

AI builders continue to need computing power, but constrained supply makes it expensive. Equipment shortages, permitting barriers and difficulties connecting to electricity grids have snarled tech company efforts to build new data centers. Blackstone Inc.’s QTS recently abandoned plans to build part of a 2,100-acre data center in Virginia, after local residents protested for years to kill the project.