Elon Musk is asking SpaceX employees to think of themselves as the intellectual foundation for xAI's Grok artificial intelligence system. During a recent all-hands meeting, Musk explained that SpaceX plans to train Grok on the company's complete internal data and employee contributions, positioning workers as "parents" of the AI model that will inherit their "thoughts and ideas and beliefs".

What Does It Mean for Employees to Be Grok's "Parents"?

Musk framed the arrangement as a collaborative relationship where SpaceX's workforce, which he described as including some of the world's strongest engineers, would directly shape a more capable AI system. The CEO told employees that Grok would be "trained on you," meaning their collective knowledge, problem-solving approaches, and professional expertise would become embedded in the model's responses and reasoning patterns.

The specific categories of employee information that will be included in the training process have not been publicly detailed by SpaceX. The company has not provided a comprehensive explanation of what data will be used or how employee information will be handled, though reports indicate the plan involves SpaceX's internal data and employee contributions.

This approach echoes a similar initiative at Meta earlier this year. In April, Meta launched its Model Capability Initiative, which captured employee mouse movements, clicks, keystrokes, and screenshots to generate training data for AI agents. The goal was to teach AI systems how people navigate computers and perform workplace tasks. However, the response was mixed; approximately 1,600 Meta employees signed a petition opposing the tracking program amid privacy concerns.

How Could This AI Training Approach Reshape SpaceX's Business?

Musk presented an ambitious financial projection during the meeting, stating that AI revenue could surpass revenue from all of SpaceX's other businesses as soon as September 2026. He projected that 10 gigawatts of AI computing capacity could generate between $300 billion and $500 billion in annual revenue.

To reach that scale, SpaceX is aggressively expanding its AI infrastructure. The company currently operates approximately 1.4 gigawatts of AI computing capacity and is targeting 10 gigawatts by the end of 2027. This expansion is directly tied to SpaceX's June 2026 initial public offering, which raised roughly $75 billion. The company's IPO documents explicitly stated that proceeds would be used to fund growth strategy, including the expansion of AI computing infrastructure.

During SpaceX's first earnings report as a public company, the aerospace firm reported stronger-than-expected revenue. Musk characterized the challenge of building data centers as straightforward for SpaceX's engineering team, comparing it to "the New York Yankees going in and playing a Little League team".

Steps to Understanding SpaceX's AI Strategy

• Employee Data Integration: SpaceX plans to train Grok on the sum total of the company's internal information, including work and contributions from its approximately 1.4-gigawatt computing workforce, positioning employees as intellectual contributors to the AI model.
• Computing Infrastructure Expansion: The company is scaling from 1.4 gigawatts of current AI computing capacity to a target of 10 gigawatts by the end of 2027, with IPO proceeds allocated specifically for this infrastructure growth.
• Revenue Projections: Musk projects that AI revenue could exceed all other SpaceX business lines by September 2026, with 10 gigawatts potentially generating $300 billion to $500 billion annually.
• Starlink Integration: Musk highlighted that Starlink, SpaceX's satellite internet service, is now available in 167 countries with approximately 22 million mobile users, which could support global AI infrastructure deployment.

The broader context for SpaceX's AI ambitions includes competition from other major tech firms. xAI and Google DeepMind have both released new AI models, with xAI's Grok 4.6 and Google's Gemini 3.7 Flash competing on cost and capability as they seek to gain ground on rivals Anthropic and OpenAI, which currently lead across most benchmarks.

Meanwhile, NVIDIA has entered into strategic alliances with major financial institutions, including KKR, Goldman Sachs, Brookfield, Blackstone, BlackRock, and Apollo, to establish autonomous compute financing platforms. These structures aim to mobilize over $500 billion in third-party capital through dedicated financial frameworks, accelerating AI infrastructure deployment across the industry.

SpaceX's strategy represents a significant bet that AI infrastructure and services will become the company's dominant revenue driver within months. Whether the company can execute on these projections while managing employee concerns about data privacy and usage remains an open question as the aerospace firm transitions from a private research operation to a publicly traded technology conglomerate.