Speed to safety: Why tech leaders are pushing for stronger AI regulation

Microsoft CEO Satya Nadella has coined a new term – “Reverse Information Paradox,” referring to how companies today risk giving away their knowledge to AI labs by using their tools. In an article on X, Satya Nadella referred to Nobel Prize-winning economist Kenneth Arrow’s “Information Paradox.” The Microsoft CEO said Arrow described a problem in which the seller risks giving away knowledge in order to sell it because its value is known only after the buyer has it. According to These moves signal a new phase in enterprise AI adoption. Businesses are questioning if productivity gains justify the rapidly rising bills. The debate is spilling into pricing models, infrastructure investments, hiring decisions and even geopolitics, as companies and governments search for ways to make AI productive and sustainable. Enterprises are pouring money into AI. Global IT spending is expected to reach $6.31 trillion in 2026, fuelled by investments in AI infrastructure, software and cloud services, according to projections by Gartner As enterprises race to adopt artificial intelligence (AI), they risk giving away their most valuable proprietary knowledge, Microsoft CEO Satya Nadella said, while coining a new term, "The Reverse Information Paradox." Taking to X, Nadella on Sunday said that in the age of AI, people essentially pay for intelligence twice: "once with money, and again with something even more valuable: the proprietary knowledge," which people must reveal to make that intelligence useful. "The better you want the model to perform, Control: Create your private evals, because evals define what “good” looks like inside the organization. Also, retain ownership of your organization’s memory, traces, feedbacks, decisions, and institutional context, and ability to use outputs of models from your own tasks and queries. Capability: Build your own proprietary learning environments within the tenant boundary to train or tune models, where models learn against real workflows without exposing the company’s knowledge. Choice: Ensure the orchestration layer is decoupled from any single model. Ask