Microsoft CEO Satya Nadella's recent post on X, in which he warned that businesses risk giving away valuable organisational knowledge as they adopt artificial intelligence (AI), has prompted responses from technology leaders. In the post, titled The Reverse Information Paradox, Nadella argued that companies need to protect not only their proprietary data but also the learning created through prompts, feedback, workflows, and interactions with AI systems.Nadella’s comments drew responses from many executives including those at Perplexity, Microsoft, Glean, Google Cloud, etc. Sharing Nadella's quote in a post on X, Perplexity cofounder and CEO Aravind Srinivas wrote, "Well said." Among other things, the Microsoft CEO noted, "If learning flows in only one direction,economic value converges toward the owners of the learning infrastructure rather than the creators of the knowledge itself. Therefore, it's imperative that we distribute the learning infrastructure to every firm so that they can control their own learning loop."Brad Smith, vice chair and president of Microsoft, said in a post, "Every new generation of digital technology creates a new generation of IP issues. The 'Reverse Information Paradox,' as Satya describes here, may well create even broader and more profound issues than we've seen in recent decades. It will be vital for businesses and jobs across the economy that we discuss and address these effectively."Arvind Jain, founder and CEO of enterprise AI startup Glean, wrote: "In the AI era, firms need to protect more than data; they need to protect how they learn from their work. Prompts,corrections, evals, and memory capture the know-how that makes a company better over time. The right architecture keeps that know-how in the company's hands, not tied to any single model."Priyanka Vergadia, head of developer relations at Google Cloud AI, wrote: "Most enterprise API tiers already ship zero-retention, no-training terms. This feels like this is still fighting 2023 ChatGPT."She added, "The conversation mashes two different debates together — public data fair use vs. private interaction data like they're the same argument. They're not."Vergadia also wrote that, "Building your own tenant-boundary learning environment is advice for companies with nine-figure AI budgets, not the rest."The responses came after Nadella argued that AI is creating a "reverse information paradox," where companies "pay for intelligence twice", once with money and again by revealing the proprietary knowledge needed to make AI useful. In his post, he also said that the companies that succeed in the AI era will be those that retain ownership of the learning generated through their use of AI systems.