Meta is restricting its engineers' use of rival AI tools like Claude Code and OpenAI's Codex to prevent their outputs from leaking into Meta's training data. The move reflects growing concern about distillation—unauthorized capability transfer between competing AI systems—and supports Meta's effort to build its own coding assistant while managing billions in internal AI spending. Major AI companies' terms of service now explicitly forbid using model outputs to build rival systems, and recent high-profile cases show distillation has become an industry-wide competitive and legal issue.
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Meta is limiting how its engineers use Anthropic's Claude Code and OpenAI's Codex, and has temporarily halted certain work with these models. The company is concerned about distillation—the unauthorized transfer of capabilities from rival AI systems into its own training data. Company policy now bars engineers from using AI outputs to create test tasks or for code analysis, though human review is still required.
Why it matters
Meta is building its own coding assistant, MetaCode, and wants to cut reliance on outside tools partly because of rising costs—the company is on track to spend billions of dollars on internal AI use this year alone. The restriction also reflects broader industry tension: distillation is causing friction across the sector, with terms of service from OpenAI, Anthropic, and Google all explicitly banning the use of model outputs to build competing systems. For businesses relying on multiple AI tools, Meta's move signals that major AI companies are now actively policing how their outputs flow into competitors' systems.
What to watch
Distillation has become a high-stakes concern industrywide. Anthropic recently accused Alibaba of the largest known distillation attack to date, and Elon Musk admitted in April that xAI had partially distilled OpenAI's models. Meta said it has clear rules for the responsible use of AI tools, suggesting the company views this as a compliance and competitive necessity going forward.
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