--- title: Microsoft and Google DeepMind agree on AI control — but... description: Microsoft CEO Satya Nadella and Google DeepMind CEO Demis Hassabis each published AI framework manifestos within days of each other. Nadella's 'Reverse... canonical: https://daily.dev/posts/microsoft-and-google-deepmind-agree-on-ai-control-but-not-on-who-holds-it-13mrd6gpm twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Microsoft and Google DeepMind agree on AI control — but not on who holds it | daily.dev og:description: Microsoft CEO Satya Nadella and Google DeepMind CEO Demis Hassabis each published AI framework manifestos within days of each other. Nadella's 'Reverse... og:url: https://daily.dev/posts/microsoft-and-google-deepmind-agree-on-ai-control-but-not-on-who-holds-it-13mrd6gpm og:image: https://api.daily.dev/og/posts/13mRd6gPm.png og:image:alt: Microsoft and Google DeepMind agree on AI control — but not on who holds it og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Microsoft and Google DeepMind agree on AI control — but not on who holds it **[The New Stack](https://daily.dev/sources/newstack)** · 4 min read · 1 upvotes · 0 comments ## Summary Microsoft CEO Satya Nadella and Google DeepMind CEO Demis Hassabis each published AI framework manifestos within days of each other. Nadella's 'Reverse Information Paradox' argues enterprises should own their data and learning loops, treating AI models as commodities — a stance that conveniently routes value toward Azure and Microsoft's orchestration stack. Hassabis proposes a FINRA-style standards body to gate frontier model releases through safety testing, a regime that large incumbents with established safety teams are best positioned to navigate. Both frameworks identify real problems — enterprise data leakage and frontier model risk — while also concentrating durable value at the layers each company already dominates. The broader shift: competition is moving from benchmark performance to control over data boundaries, deployment infrastructure, and regulatory admission rules. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is Satya Nadella's 'Reverse Information Paradox' about AI costs? It argues enterprises effectively pay for AI twice: once in tokens for using a model, and again in the proprietary know-how they leak back into the model through prompts, corrections, and evaluations. Nadella's proposed fix is for enterprises to own the data, traces, evals, adapted weights, and memory themselves, then run a model-agnostic orchestration layer on top so any underlying model stays cheap and swappable. _Enterprises weighing how to protect proprietary data in AI workflows can track this debate on daily.dev._ ### What does Demis Hassabis propose for regulating frontier AI models? He calls for a standards body modeled on FINRA, funded by industry and subject to government oversight, that would test frontier models for cyber, bio, and deception risks before they ship. Labs would submit models up to 30 days before release, voluntary at first, later becoming a hard gate required for deploying in the US market, with independent experts and open-source representatives on its board. _Those tracking AI safety regulation and frontier model oversight can follow developments like this on daily.dev._ ## Similar posts on daily.dev - [Nadella’s Reverse Information Paradox: AI’s hidden cost](https://daily.dev/posts/nadella-s-reverse-information-paradox-ai-s-hidden-cost-lhelgomfi) · The Next Web · 0 upvotes · 0 comments - [Google DeepMind’s Ayoub says companies can fence AI in, like banks did](https://daily.dev/posts/google-deepmind-s-ayoub-says-companies-can-fence-ai-in-like-banks-did-ucrnxah9h) · The Next Web · 0 upvotes · 0 comments - [Nadella talks AI sovereignty at the World Economic Forum](https://daily.dev/posts/nadella-talks-ai-sovereignty-at-the-world-economic-forum-n1gymufrf) · The Register · 1 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#microsoft](https://daily.dev/tags/microsoft), [#ai-safety](https://daily.dev/tags/ai-safety), [#ai-governance](https://daily.dev/tags/ai-governance), [#google-deepmind](https://daily.dev/tags/google-deepmind) [View this post on daily.dev](https://daily.dev/posts/microsoft-and-google-deepmind-agree-on-ai-control-but-not-on-who-holds-it-13mrd6gpm) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Microsoft and Google DeepMind agree on AI control — but not on who holds it","url":"https://daily.dev/posts/microsoft-and-google-deepmind-agree-on-ai-control-but-not-on-who-holds-it-13mrd6gpm","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/microsoft-and-google-deepmind-agree-on-ai-control-but-not-on-who-holds-it-13mrd6gpm"},"datePublished":"2026-07-26T15:38:41.679Z","dateModified":"2026-09-14T08:33:44.094Z","description":"Microsoft CEO Satya Nadella and Google DeepMind CEO Demis Hassabis each published AI framework manifestos within days of each other. Nadella's 'Reverse...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/8b7347787f83cd22c091e2a323011077?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/8b7347787f83cd22c091e2a323011077?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"The New Stack","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"The New Stack","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/newstack","url":"https://daily.dev/sources/newstack"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/microsoft-and-google-deepmind-agree-on-ai-control-but-not-on-who-holds-it-13mrd6gpm","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,microsoft,ai-safety,ai-governance,google-deepmind","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"The New Stack","item":"https://daily.dev/sources/newstack"},{"@type":"ListItem","position":3,"name":"Microsoft and Google DeepMind agree on AI control — but not on who holds it"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/microsoft-and-google-deepmind-agree-on-ai-control-but-not-on-who-holds-it-13mrd6gpm#faq","mainEntity":[{"@type":"Question","name":"What is Satya Nadella's 'Reverse Information Paradox' about AI costs?","acceptedAnswer":{"@type":"Answer","text":"It argues enterprises effectively pay for AI twice: once in tokens for using a model, and again in the proprietary know-how they leak back into the model through prompts, corrections, and evaluations. Nadella's proposed fix is for enterprises to own the data, traces, evals, adapted weights, and memory themselves, then run a model-agnostic orchestration layer on top so any underlying model stays cheap and swappable. Enterprises weighing how to protect proprietary data in AI workflows can track this debate on daily.dev."}},{"@type":"Question","name":"What does Demis Hassabis propose for regulating frontier AI models?","acceptedAnswer":{"@type":"Answer","text":"He calls for a standards body modeled on FINRA, funded by industry and subject to government oversight, that would test frontier models for cyber, bio, and deception risks before they ship. Labs would submit models up to 30 days before release, voluntary at first, later becoming a hard gate required for deploying in the US market, with independent experts and open-source representatives on its board. Those tracking AI safety regulation and frontier model oversight can follow developments like this on daily.dev."}}]} ```