According to Mark Cuban on Twitter, the future of AI large language model (LLM) training will rely on exclusive access to proprietary data, as intellectual property holders increasingly sell their data only to the highest bidders. This fragmentation of AI training sources could impact blockchain-based data marketplaces and reinforce the demand for decentralized data solutions in the crypto sector, as traders seek new ways to monetize and access exclusive datasets (source: Mark Cuban, Twitter, June 11, 2025).

According to Mark Cuban on Twitter, companies are intensifying efforts to safeguard their intellectual property (IP) and limit how AI models access and use proprietary training data, directly impacting the development of AI tools and synthetic data creation (source: Mark Cuban, Twitter, May 21, 2025). This trend could restrict the availability of high-quality training data for AI projects, potentially slowing innovation in blockchain and crypto startups that rely on AI-driven solutions. Traders should monitor regulatory and corporate actions regarding data access, as these could drive volatility in crypto assets tied to AI development.