OpenAI Expands Codex with New Enterprise Tools and ‘Sites’ Feature OpenAI is rapidly recasting Codex from a coder’s assistant into the backbone of its enterprise push, amid pressure to turn viral consumer success into sustainable, high‑margin software revenue.

On June 1, OpenAI laid out its new direction in an official blog post, pitching “Codex for every role, tool, and workflow” and unveiling three pillars: role‑specific plugins, Sites, and annotations. The company framed the update as a way to help teams “do more with Codex” across varied job functions, not just software engineering.

By June 2, industry coverage sharpened what that meant in practice. AI Magazine detailed how OpenAI, facing heavy capital burn and a US$25 billion annualized revenue run rate, is shifting away from consumer “side quests” to focus on “high-margin B2B infrastructure” built atop its agentic Codex layer. TechCrunch likewise reported that OpenAI is “getting serious about courting enterprise users” with six new plug-ins for roles such as data analytics, creative production, and investment banking, each bundling integrations and instructions so Codex can approximate specific jobs out of the box.

In parallel, OpenAI’s own data shows the user base broadening. A Verge report highlighted that Codex now counts more than 5 million weekly users and “isn’t just for programmers,” as non‑developers expand its use across research, analysis, and operations. The Next Web noted that non‑technical workers now make up about 20% of those 5 million users and are adopting Codex three times faster than engineers.

The most visible new feature is Sites, which lets Codex turn a spreadsheet or document into a hosted interactive web app that colleagues can share via URL, initially for business and enterprise plans. OpenAI is pairing this with partnerships spanning Wix, Figma, Replit, and others to publish Codex output as live websites rather than local files. Co‑founder Greg Brockman promoted the capability on X, urging users to “Build and launch apps to your team, using Codex” and later stressing that “codex for computer work is growing very fast,” echoing an OpenAI report that the “bigger story” is how people are using it beyond code, across knowledge work.

Not all reactions are celebratory. Developer Simon Willison, amplified by Hugging Face CEO Clément Delangue, complained that Codex Desktop’s “Copy as Markdown” export option – his “single favorite feature” – disappeared in a recent update, highlighting tensions between rapid product iteration and power‑user workflows.

Across human and AI perspectives, a consistent throughline emerges: Codex is being reimagined as an enterprise operating layer for white‑collar work, with Sites and job‑specific plugins positioning it as a new interface for how knowledge workers build, share, and use software‑like tools.

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