Mark Zuckerberg wants to make Meta what he has called an ‘AI-native’ company, here’s what it means for company’s engineers |
Meta CEO Mark Zuckerberg has now made clear his ambition is to transform the company into what he calls an “AI-native” organisation. According to a report by Business Insider, the internal documents of company reveal how this vision is now being translated into concrete goals for engineers and product teams. The idea is not just to use AI occasionally, but to embed it deeply into the way Meta builds, codes and also operates.
Meta’s ambitious AI goals for engineers
According to the memo, Meta has set ambitious targets for AI adoption across its engineering divisions:
- Central Products (Messenger, WhatsApp, Facebook): By Q4 2025, 55% of code changes should be “agent-assisted,” and 80% of mid-to-senior engineers should adopt AI tools like DevMate, Metamate, and Google’s Gemini.
- Scalable Machine Learning Team: By February 2026, engineers are expected to achieve between 50% and 80% AI-assisted code.
- Creation Org: For the first half of 2026, 65% of engineers should write more than 75% of their committed code using AI.
These goals highlight Meta’s push to make AI a standard part of engineering workflows, not just an optional tool.Meta has also already started tying employees performance to AI usage, with staff using internal AI bots to write peer reviews. The company also rebranded roles in Reality Labs with titles like “AI Builder” and “AI Pod Lead,” reflecting a flatter, AI-focused organizational structure. CTO Andrew Bosworth is now leading the “AI for Work” initiative to accelerate adoption internally.“Our ultimate goal is to drive a step change in engineering productivity and product quality. “To achieve this, we’re fundamentally rewiring how we operate, how we are structured, and how we support each other,” read a memo about the changes, which was reviewed by Business Insider.
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Zuckerberg’s push comes as Meta faces intense competition in AI from rivals like OpenAI, Google, and Microsoft. By embedding AI into everyday engineering tasks, Meta hopes to boost productivity, improve product quality, and position itself as a leader in AI-driven innovation.
