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In this article, the author discusses the growing importance of data in the age of AI and compares data to oil in terms of its value. The rise of AI capabilities has increased the demand for data, leading companies to seek more data to fuel their AI algorithms. The article explores the theory of selling data and its potential dangers, including loss of leverage, financial dependence on companies, surrendering of legal rights, and disruption of market dynamics. Instead of selling data, the author proposes alternative solutions, such as data ownership and control through data vaults and data portability, enhanced privacy measures like government-backed regulations and privacy-enhancing technologies, adopting transparent data practices, and collaborative data approaches like federated learning and data trusts. The goal is to find a safe and responsible way to transfer data to companies for AI development without compromising individual rights and privacy.