Investment Update

The Information Edge: xAI’s X Factor

Published:
April 2025
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Illustration of XAi datacenter corridor where AI is trained on X's dataset

Much of what has been written publicly on the recent acquisition of X (formerly Twitter) misses key implications of this transaction.  Below are our thoughts.

xAI’s mission to accelerate human scientific discovery stands to unlock transformative possibilities across some of humanity’s most vital domains. We believe that the acquisition of X is a significant strategic move that will enhance xAI’s mission through further integration into Elon Musk's broader ecosystem.

“This will allow us to build a platform that doesn’t just reflect the world but actively accelerates human progress.” - ELON MUSK

Graph showing Training compute (FLOP) vs. Publication date for Grok. Computation and data requirements continue to increase

Strategic Value Proposition

Current projections indicate that between 2026 and 2032, AI models will require datasets roughly equivalent to the entire available stock of public human text data1. X's dataset, generating approximately 12 TB of daily data and growing, represents an invaluable resource as high-quality data becomes increasingly scarce2. The acquisition builds on access to this resource and creates several distinct competitive advantages:

  • Unique Training Dataset:
    Unlike static or curated datasets used by competitors like OpenAI and Google, X provides a dynamic, real-time stream of text-based interactions where diverse viewpoints engage in organic debate. This live dataset is particularly valuable for developing AI systems capable of nuanced reasoning, sentiment analysis, and contextual understanding.
  • Cost Efficiency3:
    Building a comparable dataset from scratch would be a multi-year, multi-billion-dollar endeavor with uncertain outcomes. By acquiring X, xAI gains enhanced access to this structured yet organically evolving dataset, representing a more predictable and cost-effective path to AI innovation.
  • Real-Time AI Testing:
    With Grok AI integrated into X, xAI has a built-in test environment where models can interact with real users and receive continuous feedback. This allows for rapid iteration and refinement that few other AI companies can match.
  • Competitive Moat Development:
    The real-time, argument-rich nature of X’s dataset makes it difficult for rivals to replicate, strengthening xAI’s long-term positioning4.
“This combination will unlock immense potential by blending xAI’s advanced AI capability and expertise with X’s massive reach.” - ELON MUSK

Investment Implications

Beyond the technological implications, this acquisition presents significant competitive and investment opportunities. Consider the following:

  • AI Development Acceleration:
    The acquisition positions xAI to accelerate its advantage in developing AI with more best-in-class reasoning capabilities, which could translate to market leadership in high-value AI applications, from healthcare diagnostics to advanced automation.
  • Vertical Integration Strategy:
    The integrated platform's control of both data sources (X) and AI development (xAI) creates a vertically integrated AI ecosystem that reduces dependency on third-party data providers.
  • Appreciating Asset Value:
    We believe that the industry continues to be data and compute constrained. xAI's early positioning in securing the best data gives it a competitive advantage that will likely significantly appreciate in value over time.
“The value of this dataset isn't measured in billions, but in the breakthroughs it will accelerate” - ELON MUSK

The Bigger Picture

To us, the acquisition of X represents a pivotal moment in AI evolution. xAI is positioning itself not just as a participant in the AI race but cementing itself as a leader defining the next frontier of human-AI interaction.
For investors and technology observers, it signals the beginning of a new AI paradigm in which real-time, human-driven data is the core competitive advantage.

A diagram depicting XAi as a vitruvian child learning about data, models, compute, talent, truth seeking

  1. 'Will We Run Out of Data? An Analysis of the Limits of Scaling Datasets in Machine Learning'.  Villalobos, Pablo, et al, November 10, 2022. Updated in Proceedings of the International Conference on Machine Learning (ICML), 2024.
  2. Statista (2024). Based on average data per user (e.g., text at ~1 KB per tweet, plus media uploads) and number of daily active Twitter/X users worldwide retrieved from Statista.
  3. “One of the most efficient companies in the world.” Elon Musk on the operational efficiency of X
  4. Koetsier, J. (2025, January 15). Elon Musk’s xAI gains edge with X’s real-time data. Forbes.
This content is provided for informational purposes only and does not constitute investment advice. It should not be relied upon as the basis for making any financial or investment decisions.
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