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xAI Merges With SpaceX as Co-founders Exit

xAI underwent a major reorganization and announced a planned merger with SpaceX valued at $1.25 trillion, even as six of twelve original co-founders departed from the AI startup amid internal turbulence.

March 9, 2026 · 7 min read · Source: CNBC

xAI · SpaceX · Elon Musk · Merger · AI Companies · Reorganization

Abstract visualization of AI and space technology merger representing xAI and SpaceX consolidation

Elon Musk's artificial intelligence startup xAI announced a major reorganization and confirmed plans to be acquired by SpaceX in a transformational deal valuing the combined entity at $1.25 trillion. The merged company plans to pursue an IPO later in 2026. However, the reorganization has been marked by significant leadership departures, with six of twelve original co-founders exiting the company amid organizational turbulence and controversy.

The Reorganization

Musk confirmed the restructuring on social media, stating:

"xAI was reorganized a few days ago to improve speed of execution."

The reorganization consolidated xAI's operations into four main application areas. Co-founder Guodong Zhang now leads the "Imagine" team, while Toby Pohlen heads the "Macrohard" team — which steers efforts to automate internal company processes. The restructuring reflected Musk's push for faster execution and tighter product focus, but came at the cost of significant leadership turnover.

Co-founder Departures

The most striking aspect of xAI's reorganization is the scale of co-founder exits. Six of the original twelve co-founders have departed — a 50% turnover rate that is unusual for a frontier AI company still in its growth phase. Multiple senior engineers, including co-founders, exited amid what industry observers described as controversy surrounding the reorganization and strategic disagreements.

Musk framed the departures as part of the reorganization process, acknowledging that it "unfortunately required parting ways with some people." However, he did not specify how many employees were cut in total or provide details about which departures were voluntary versus involuntary — leaving observers to speculate about the depth of internal discord.

The SpaceX Acquisition

The most consequential aspect of the announcement is SpaceX's planned acquisition of xAI. Key details of the merger include a combined entity valuation of $1.25 trillion, plans for an IPO later in 2026, and an ambitious vision to deploy AI data centers in space using SpaceX's Starship launch vehicle.

The space-based data center concept, while speculative, reflects Musk's willingness to pursue unconventional strategies. Potential advantages include passive cooling in space's vacuum, direct solar power without atmospheric losses, and computing infrastructure beyond any single nation's jurisdiction. However, the engineering challenges remain formidable, and the timeline for such deployment is unclear.

Context: Why This Matters

xAI raised $6 billion in Series B funding in late 2025, entering an intensely competitive environment where OpenAI, Google DeepMind, and Anthropic vie for AI supremacy. The reorganization and merger suggest that even well-funded AI ventures face significant strategic and organizational challenges.

The co-founder departures are particularly noteworthy because startups with founding team members leaving during critical growth phases often signal misalignment on vision or management disagreements. A 50% co-founder attrition rate warrants scrutiny from anyone evaluating xAI's stability and long-term direction.

What This Means for AI Engineers

For engineers considering roles at frontier AI labs or startups undergoing reorganization, xAI's situation highlights the importance of evaluating organizational stability alongside technical opportunity. Understanding leadership dynamics, strategic alignment, and execution culture is critical when choosing where to build your career.

If you're preparing for interviews at AI companies navigating rapid change, InterviewAlly helps you practice system design problems, architectural thinking, and the kind of deep technical conversations that reveal whether a company's strategy matches its execution capability.