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Meta Embraces Rival AI Tools to Build AI-First Workplace, Expanding Access to Google, OpenAI, and More

Meta is transforming its workplace into an AI-first environment by giving employees broad access to tools from rival companies, including Google and OpenAI. Under CEO Mark Zuckerberg’s leadership, the company is prioritizing the integration of artificial intelligence across all aspects of work, according to internal documents and communications reviewed by Business Insider. At the core of this shift is a directive to make AI "core to how we work," as stated by Meta’s Chief Information Officer Atish Banerjea in a June memo. The company is no longer limiting itself to its own AI models, such as the Llama series, but is actively adopting external tools to boost productivity and innovation. By November, internal communications revealed that all Meta employees have access to Google’s Gemini 3 Pro and OpenAI’s ChatGPT-5. A detailed list of available AI tools includes Agentic Auto and Advanced Auto—experimental agents designed for complex tasks—and Agentic Auto with GPT-5 Thinking, which allows for deeper reasoning. Other tools include iLlama, a fast internal version of Llama 3.1, and Llama 4 Maverick, a model trained without Meta’s internal data. Employees also use GPT-4.1 and Gemini 3 Pro, both of which operate outside Meta’s internal systems. Devmate, an AI-powered coding assistant that leverages Anthropic’s Claude, is widely used across engineering teams. Additionally, Meta has made Midjourney’s AI image generator available to employees for design and prototyping, following a deal struck earlier in the year. The company has also transitioned its internal productivity suite to Google Workspace—encompassing Gmail, Docs, Drive, and Chat—citing the need to unlock AI-driven features and better align with its broader tool ecosystem. On the engineering front, Meta is expanding access to agentic coding systems, including Google’s Gemini CLI and OpenAI’s Codex CLI, to help developers work more efficiently. A November memo from Reality Labs executive Maher Saba emphasized a results-driven strategy: the focus is on outcomes like faster development and higher productivity, not on any single tool. To drive adoption, Meta has introduced gamification. The internal program "Level Up" rewards employees with badges for using AI in different ways. Leadership is also tying performance reviews to measurable AI impact, with a focus on results achieved through AI tools, a practice that will be formalized in 2026. A Meta spokesperson confirmed the expanded access to AI tools, reiterating the company’s commitment to using AI to enhance daily work. The move reflects a strategic pivot: while Meta continues to invest heavily in its own Llama models, it recognizes that leveraging the best tools—regardless of origin—is essential to staying competitive in the fast-evolving AI landscape.

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