SpaceXAI Loses 50+ Researchers Since February Merger as Meta and Thinking Machines Circle Former Staff

SpaceXAI — the entity formed when SpaceX absorbed Elon Musk’s AI venture xAI in February 2026 and rebranded earlier this month — has lost more than 50 researchers and engineers since the merger closed, according to reporting from The Information cited by TechCrunch AI. The departures span critical technical functions including coding, world models, and the Grok voice team, and competitors Meta and Mira Murati’s Thinking Machines Labs are among the primary beneficiaries.

SpaceXAI Pre-Training Team Hollowed Out After Juntang Zhuang’s Departure

The losses most alarming to insiders involve the pre-training division. TechCrunch AI reports that the team, once led by Juntang Zhuang, has shrunk to just a small group of remaining staff following Zhuang’s exit. Pre-training — the compute-intensive initial phase of building large language models — is arguably the most talent-scarce discipline in AI development. A company that cannot staff a full pre-training team faces a structural obstacle to producing competitive frontier models.

At least 11 former xAI employees have defected to Meta, and at least seven have joined Thinking Machines Labs, the startup founded by former OpenAI Chief Technology Officer Mira Murati. Two of the departing individuals were xAI co-founders, as TechCrunch had previously reported.

Musk’s Deadline Culture and Equity Liquidity Both Cited as Exit Drivers

According to The Information’s sourcing, Elon Musk imposed unrealistic training deadlines that reportedly led to quality shortcuts in Grok development — a pattern of pressure that employees across Musk-led companies, including Tesla, have raised in the past. That cultural friction appears to have accelerated departures beyond what a normal post-merger reorganization would produce.

A countervailing financial factor is also at play. SpaceX regularly facilitates private tender offers that allow employees to monetize vested shares ahead of any public listing. With a high-profile SpaceX IPO widely anticipated, some departures may reflect employees choosing liquidity and optionality over remaining under intense operational pressure.

Why This Matters

The hollowing out of SpaceXAI’s pre-training capability is the most consequential signal here. Organizations competing at the frontier — Anthropic, Google DeepMind, OpenAI — invest heavily in pre-training teams precisely because those researchers are the scarcest and hardest to rebuild. If SpaceXAI cannot reconstitute this function, it risks becoming a deployment and product layer sitting on top of models it can no longer independently advance.

For the broader competitive landscape, the talent redistribution benefits Meta’s already-large research operation and gives Thinking Machines Labs a credibility boost that could accelerate its fundraising and model development timelines. Teams evaluating which foundation model providers will remain technically competitive over the next two to three years should treat sustained pre-training attrition as a leading indicator of future capability gaps — not merely an HR story.