Microsoft CEO Satya Nadella has warned that businesses could unintentionally give away some of their most valuable knowledge while using artificial intelligence. In a post on X, he said companies often need to share internal data, processes, and expertise to get better results from AI models.
Microsoft CEO Satya Nadella has warned that businesses may be giving away valuable knowledge as they adopt AI tools. According to him, companies are not only paying for AI services but also sharing their own expertise to make these systems work better.
In a post on X, Nadella introduced the idea of the “Reverse Information Paradox.” He said the more a company wants an AI model to improve, the more knowledge it has to provide. “The better you want the model to perform, the more of that knowledge you have to feed it! That is what I think of as the Reverse Information Paradox,” he wrote. He added, “AI creates the reverse problem. In the AI age, the buyer risks giving away knowledge, just in order to use what they bought.”
According to Nadella, every prompt, correction, and piece of feedback shared with an AI model helps improve its performance. Over time, this creates what he called “intelligence exhaust” valuable institutional knowledge that builds up through everyday use of AI.
Nadella said companies do not have the same legal protection for knowledge created through AI interactions as inventors have through patents. He argued that stronger safeguards are needed to ensure businesses continue to own the knowledge they generate while using AI.
He also said companies should build private AI environments where models can be trained and customised using internal data without exposing proprietary information to third parties. In addition, businesses should retain ownership of their AI-generated outputs, memory, feedback, judgments, and institutional knowledge.
Nadella added that companies should avoid depending on a single AI model. Instead, they should use technologies that allow them to switch between different AI models while keeping control of their own data and knowledge.
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