The article discusses the importance of data in the development of artificial intelligence (AI) systems. It highlights that while AI models and algorithms are crucial, the real value lies in the data used to train these systems. The author compares data to the new “oil” that fuels AI, drawing parallels to how oil fueled the industrial revolution. Just as oil reserves gave companies a competitive advantage, access to large, high-quality datasets is becoming a key differentiator for AI companies. The article explores how companies are hoarding data, treating it as a trade secret, and going to great lengths to acquire and protect it. It also discusses the ethical concerns surrounding data privacy, bias, and the potential for misuse. The key takeaway is that data has become a valuable commodity in the AI era, and companies that can effectively acquire, curate, and leverage data will have a significant advantage in developing advanced AI systems.