--- title: Meta projected spending up to $10bn a year on... description: Meta internally projected spending up to $10bn a year on Anthropic's AI models even as Mark Zuckerberg publicly criticized rival AI labs for consolidating... canonical: https://daily.dev/posts/meta-projected-spending-up-to-10bn-a-year-on-anthropic-s-ai-models-oq3x5csy6 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Meta projected spending up to $10bn a year on Anthropic’s AI models | daily.dev og:description: Meta internally projected spending up to $10bn a year on Anthropic's AI models even as Mark Zuckerberg publicly criticized rival AI labs for consolidating... og:url: https://daily.dev/posts/meta-projected-spending-up-to-10bn-a-year-on-anthropic-s-ai-models-oq3x5csy6 og:image: https://api.daily.dev/og/posts/oQ3x5cSY6.png og:image:alt: Meta projected spending up to $10bn a year on Anthropic’s AI models 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. # Meta projected spending up to $10bn a year on Anthropic’s AI models **[The Next Web](https://daily.dev/sources/tnw)** · 5 min read · 0 upvotes · 0 comments ## Summary Meta internally projected spending up to $10bn a year on Anthropic's AI models even as Mark Zuckerberg publicly criticized rival AI labs for consolidating power. Meta engineers heavily used Claude Code early in the year, competing on internal token-usage leaderboards until costs climbed and the leaderboards were removed. Meta's consumer agent Hatch and its coding tool Muse Code were built and tested using Anthropic's models, though Meta plans to shift to its own models at launch. Separately, Anthropic proposed buying up to $10bn in compute from Meta's data centers. Meta's head of AI product has told employees that reducing reliance on Anthropic's tools could hurt Anthropic's revenue ahead of its planned IPO, which could value the company at up to $2tn. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How much did Meta project it could spend annually on Anthropic's AI models? Meta internally projected spending as much as $10 billion a year on Anthropic's models at one point during the year. This was discussed around the time Meta engineers were heavily using Claude Code, Anthropic's coding tool, and competing on internal leaderboards to see who could use the most tokens, a practice known as tokenmaxxing. _Engineers weighing AI vendor costs can follow spending trends like this one on daily.dev._ ### What AI models power Meta's Hatch agent and Muse Code tool? Meta used Anthropic's models to build and test its consumer agent Hatch, described internally as Meta's next breakthrough, and its Muse Code coding tool launched in August. However, the public version of Hatch will run on Meta's own latest model at launch, and employees are increasingly shifting to Muse Code instead of Anthropic's tools. _Developers tracking which labs power which AI coding tools can follow the shifts on daily.dev._ ### Why would Meta reduce its spending on Anthropic's AI tools before Anthropic's IPO? Nat Friedman, Meta's head of AI product, told employees that if Meta shifts to using only its own coding tools or those from OpenAI, it could lower Anthropic's revenue ahead of its planned IPO, which could value the company at up to $2 trillion and raise as much as $100 billion. Microsoft's AI chief stated a similar goal of eliminating what his company pays Anthropic. _Anyone weighing AI vendor lock-in versus competitor leverage can track these moves on daily.dev._ --- Tags: [#llm](https://daily.dev/tags/llm), [#anthropic](https://daily.dev/tags/anthropic), [#claude-code](https://daily.dev/tags/claude-code) [View this post on daily.dev](https://daily.dev/posts/meta-projected-spending-up-to-10bn-a-year-on-anthropic-s-ai-models-oq3x5csy6) ```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":"Meta projected spending up to $10bn a year on Anthropic’s AI models","url":"https://daily.dev/posts/meta-projected-spending-up-to-10bn-a-year-on-anthropic-s-ai-models-oq3x5csy6","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/meta-projected-spending-up-to-10bn-a-year-on-anthropic-s-ai-models-oq3x5csy6"},"datePublished":"2026-08-31T08:45:59.385Z","dateModified":"2026-08-31T08:46:57.611Z","description":"Meta internally projected spending up to $10bn a year on Anthropic's AI models even as Mark Zuckerberg publicly criticized rival AI labs for consolidating...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/c310e5d58f35bf98fe8f8552563456c7?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/c310e5d58f35bf98fe8f8552563456c7?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"The Next Web","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 Next Web","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tnw","url":"https://daily.dev/sources/tnw"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/meta-projected-spending-up-to-10bn-a-year-on-anthropic-s-ai-models-oq3x5csy6","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,anthropic,claude-code","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"The Next Web","item":"https://daily.dev/sources/tnw"},{"@type":"ListItem","position":3,"name":"Meta projected spending up to $10bn a year on Anthropic’s AI models"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/meta-projected-spending-up-to-10bn-a-year-on-anthropic-s-ai-models-oq3x5csy6#faq","mainEntity":[{"@type":"Question","name":"How much did Meta project it could spend annually on Anthropic's AI models?","acceptedAnswer":{"@type":"Answer","text":"Meta internally projected spending as much as $10 billion a year on Anthropic's models at one point during the year. This was discussed around the time Meta engineers were heavily using Claude Code, Anthropic's coding tool, and competing on internal leaderboards to see who could use the most tokens, a practice known as tokenmaxxing. Engineers weighing AI vendor costs can follow spending trends like this one on daily.dev."}},{"@type":"Question","name":"What AI models power Meta's Hatch agent and Muse Code tool?","acceptedAnswer":{"@type":"Answer","text":"Meta used Anthropic's models to build and test its consumer agent Hatch, described internally as Meta's next breakthrough, and its Muse Code coding tool launched in August. However, the public version of Hatch will run on Meta's own latest model at launch, and employees are increasingly shifting to Muse Code instead of Anthropic's tools. Developers tracking which labs power which AI coding tools can follow the shifts on daily.dev."}},{"@type":"Question","name":"Why would Meta reduce its spending on Anthropic's AI tools before Anthropic's IPO?","acceptedAnswer":{"@type":"Answer","text":"Nat Friedman, Meta's head of AI product, told employees that if Meta shifts to using only its own coding tools or those from OpenAI, it could lower Anthropic's revenue ahead of its planned IPO, which could value the company at up to $2 trillion and raise as much as $100 billion. Microsoft's AI chief stated a similar goal of eliminating what his company pays Anthropic. Anyone weighing AI vendor lock-in versus competitor leverage can track these moves on daily.dev."}}]} ```