
OpenAI's ChatGPT Work has hit 20 million users. The platform brings AI agents to white-collar workers.
OpenAI also announced permanent 80% price cuts with Luna.
The goal is to make frontier AI capabilities cheaper over time.
What happened
OpenAI's ChatGPT Work, a platform for white-collar workers to use AI agents, has reached 20 million users, according to head of product Thibault Sottiaux. The product was launched as part of the $20-a-month Plus plan to make the technology available to as broad a population as possible.
Why it matters
Sottiaux sees this as an exercise in taking coding agents made for technical people and packaging them in a safe, delightful way for everyone. He says the world seems ready, citing the adoption, and views OpenAI's mission as bringing everyone along with the technology.
What to watch
OpenAI announced major price cuts of 80% off with Luna, which Sottiaux calls a permanent price correction. He stated the goal is to include more utility in the same dollar amount over time, so users should be able to do more with less spend in six months.
Ask the AI about this article →
The interview with Thibault Sottiaux reveals OpenAI's strategy of democratizing its most advanced AI agent technology. ChatGPT Work represents a shift from Codex, which was built for a technical audience, toward a broader market of white-collar professionals. By launching it within the existing $20-a-month Plus plan, OpenAI is prioritizing widespread adoption over direct revenue from this specific product.
Sottiaux describes a product philosophy centered on discovery and letting capable models express themselves with minimal user interface. He points to ChatGPT Voice as an example of more natural interaction, suggesting the progression of the technology will continue adapting to humans rather than requiring users to learn the application.
The announcement of 20 million users validates the approach, with Sottiaux stating the world seems ready. The permanent price cuts with Luna, 80% off, signal an ongoing effort to reduce the cost of frontier AI capabilities. This aligns with the stated goal of delivering more utility for the same dollar amount over time, which addresses concerns about the value gap between subscription cost and token usage.
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