Meta has formally embraced an “AI-first” workplace strategy, expanding employee access to a wide range of artificial intelligence tools from rivals including Google and OpenAI, as the company seeks to embed AI into nearly every aspect of its internal operations.
According to internal communications reviewed by Business Insider, the company is encouraging staff to integrate AI tools into daily workflows, from coding and research to design, planning, and decision-making. The push is part of a broader internal transformation aimed at boosting productivity, accelerating development cycles, and normalising AI-assisted work across teams.
In a memo to employees, Meta’s Chief Information Officer, Atish Banerjea, said the company’s objective is to “make AI core to how we work.” He outlined a strategy that combines Meta’s in-house Llama models with external AI systems developed by other leading technology firms.
As part of this shift, Meta employees now have access to advanced third-party models, including Google’s Gemini 3 Pro and OpenAI’s GPT-5, alongside earlier-generation systems such as GPT-4.1. These tools are available through a growing internal AI suite designed to support a wide range of use cases, from high-level reasoning and agent-based task execution to software development and internal knowledge queries.
Meta has also deployed multiple agentic AI systems internally. These include tools capable of handling complex multi-step tasks, coordinating sub-agents, and producing more refined outputs through extended reasoning. For Meta-specific needs, employees can use internally optimised Llama-based tools that draw on company knowledge while maintaining data separation from external models.
On the engineering side, it has expanded access to AI-powered coding assistants. Its internal development tool, Devmate, integrates large language models to support software creation within Meta’s development environments. The company is also testing and exploring integrations with advanced coding agents from OpenAI and Google to improve developer efficiency and code quality.
Beyond AI models, Meta has made a major infrastructure change by migrating its internal productivity tools to Google Workspace. Gmail, Docs, Drive, and Chat are now the company’s standard collaboration tools, a move executives described as essential to unlocking AI-driven features and enabling deeper integration with the expanding AI ecosystem used by employees.
The company has also extended AI into creative and design workflows. Following a partnership agreement with Midjourney, Meta made the AI image-generation tool available internally to speed up concept development, visual experimentation, and creative prototyping.
To drive adoption,the company has introduced incentive structures and internal programmes aimed at normalising AI use. An internal gamified system rewards employees for experimenting with AI tools, while leadership has begun tying performance recognition to demonstrable “AI-driven impact.” AI usage and outcomes are expected to feature more prominently in performance reviews from 2026.
Despite investing heavily in its own AI research and consumer-facing models, Meta’s growing reliance on external AI systems underscores a pragmatic approach: prioritising outcomes over exclusivity. Executives have stressed that the goal is not allegiance to specific tools, but ensuring employees have access to the most effective AI capabilities available to support faster execution and higher-quality work.
