OpenAI has released ChatGPT Work, a $20-per-month product that extends AI agent capabilities to non-engineering professionals, as the company confronts a sharp adoption gap between its own employees and outside subscribers.
OpenAI has released ChatGPT Work, a product designed to extend the autonomous, multistep capabilities of AI agents beyond software developers to white-collar workers across industries including accounting, finance, law, and medicine — available at the company's lowest subscription tier of $20 a month.
The product, first reported by TechCrunch, is a modified version of OpenAI's Codex coding tool, rebuilt to serve professionals who have no engineering background. Rather than answering discrete questions, ChatGPT Work is intended to complete complex, multi-step workflows autonomously — drafting documents, assembling investment memos, generating data visualizations, and managing coordinated tasks across third-party platforms.
"In this new factor, ChatGPT can actually do entire, very complicated tasks for you all autonomously in a way that is delightful and safe," Tibault Sottiaux, who leads OpenAI's core product work, told TechCrunch. "It's the very mission of OpenAI — to bring everyone along."
The scale of the adoption challenge is evident in OpenAI's own internal data. An OpenAI-backed study found that in June, 98% of OpenAI employees were using Codex, while only 17% of organizational subscribers and less than 1% of individual subscribers had adopted the agentic coding tool. The joint desktop app, which combines Codex and Work functionality, is used by just 20 million people — a fraction of the more than one billion users the company says are prompting ChatGPT through its web interface.
Bridging that gap requires rethinking how the product presents itself to users who are not accustomed to working with AI directly. Andrew Ambrosino, the lead engineer for OpenAI's desktop app, described the difficulty of rolling out Codex to OpenAI's own non-technical teams early on, saying the tool was "actively hostile to them — asking them about code and showing them, 'oh, you have an empty diff for this thing.'" His team began broadening the product's general-purpose capabilities between February and the present.
Ambrosino has integrated the desktop app deeply into his own digital life, giving it access to his inbox, Slack account, and applications including Notion and Figma. He acknowledged the privacy trade-offs that entails. "If I'm asking it to write a document, is there a possibility that it's going to pull from a private DM on that subject and not know that it's not supposed to share some info? Yes," he told TechCrunch. "I'll do it for the job. I will take the personal hit here and there if I have to. And I haven't had to."
The commercial logic behind the push is direct. Agents that run longer, autonomous tasks consume more tokens, making each user more valuable to OpenAI on a per-session basis. Reaching professions outside software development is also critical to justifying the industry's spending on model training and compute infrastructure — territory that vertical-specific competitors like Harvey, which focuses on law, and Clay, which targets sales teams, are already contesting with model-agnostic approaches.
Industry analysts view the competitive dynamic as a defining challenge for the major AI labs. "If the labs cannot rapidly get ahold of the key complementary assets needed to scale AI in the market, value will accrue elsewhere," Christian Catalini wrote on the a16z Time to Build blog.
For now, OpenAI is positioning ChatGPT Work for high-volume, data-intensive coordination work — weekly metrics reports, spreadsheet planning tools, and synthesis of communications into structured documents. Akshay Nathan, who leads the product engineering team at OpenAI, described the core problem the product addresses: "There is a deluge of information for the average worker or employee of any of these companies, including myself. We're actually quite limited by our ability to parse everything that's available to us, and then take action on it."
The gap between near-total internal adoption and negligible uptake among outside subscribers will serve as the central metric to watch as OpenAI pushes ChatGPT Work further into the enterprise market over the coming months.
TechEchelon Staff bylines are produced collectively by the newsroom for short, breaking, and wire-style coverage. Longer-form reporting is published under the responsible reporter's name.
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