Zuckerberg is pushing Meta to become “AI‑native,” internal targets set heavy AI usage for engineers

The push inside Meta

Mark Zuckerberg is reportedly driving Meta to reinvent itself as an “AI‑native” company, setting firm internal targets to make AI tools central to everyday work. It has been reported that internal documents shared with Business Insider — and summarized by IT Home (IT之家) and iFeng (凤凰网) — specify concrete goals for engineering teams: the Creation group aims for 65% of engineers to use AI to write more than 75% of committed code by mid‑2026, while the Scalable Machine Learning organization lists a 50–80% AI‑assisted code target for February 2026. Another company‑wide goal reportedly asks that 80% of mid‑to‑senior engineers use internal tools such as DevMate, Metamate and Google’s Gemini.

Reportedly, some teams have also introduced new job titles like “AI Builder,” “AI Pod Lead” and “AI Org Lead,” and it has been reported that Meta has begun incorporating AI usage into performance conversations — even that employees have used internal AI to draft peer evaluations. Meta, for its part, told reporters that the push is meant to improve everyday productivity and that performance systems will prioritize real outcomes rather than raw tool‑use statistics.

Why this matters — for Meta and the wider tech race

Meta’s internal shift comes as Big Tech globally races to lock in advantage around large models, developer tooling and AI‑assisted workflows. Will mandating AI use speed product cycles and raise quality — or will it create new supply‑chain, safety and governance headaches? The move also has geopolitical resonance. U.S. firms face heightened scrutiny over AI safety and data governance while supply‑chain constraints on advanced chips complicate the hardware side of model development. And the winners of this sprint will be measured against rivals from China, including Baidu (百度) and ByteDance (字节跳动), which are also aggressively building model stacks and developer ecosystems.

Meta’s announcement follows recent layoffs in Reality Labs and other units, underscoring that the company is combining organizational restructuring with a strategic pivot toward AI. It has been reported that executive CTO Andrew Bosworth will lead an “AI for Work” effort to drive internal adoption. The question for investors, regulators and staff alike is straightforward: will this make Meta more productive and competitive, or will heavy quotas push risky, opaque automation into core engineering and product decisions?