Urgent.News

What's breaking now, across thousands of outlets.

AI

Sources: Cursor was a top-five OpenAI customer at the start of 2026; OpenAI estimated in spring that Cursor would bring in $1B+ in annualized revenue for OpenAI (Maxwell Zeff/Wired)

OpenAI recently estimated its Cursor partnership would make more than $1 billion in revenue a year, WIRED has learned.

At the start of 2026, the AI coding editor Cursor was one of OpenAI's top five revenue-generating customers, bringing in over $1 billion in annualized revenue, according to sources familiar with the matter. OpenAI estimated this substantial revenue figure in the spring, based on their partnership's performance. However, the company decided to sever ties with Cursor, stating that they could not trust SpaceX to use their technology within its terms of service, given Musk's history of violating contracts.

OpenAI declined to comment on the financial implications of this decision, but the loss of a major customer like Cursor may not have as significant an impact as once expected, as the company generates more than $40 billion in annualized revenue from various sources, including subscriptions, ads in ChatGPT, and selling access to its AI coding tool, Codex.

Cursor founder and CEO Michael Truell maintained that OpenAI's models only account for about 5% of Cursor user traffic, suggesting the partnership might not be as vital as OpenAI believed. OpenAI's head of core products, Thibault Sottiaux, refuted this claim, emphasizing that token usage is not a reliable indicator of revenue or value created.

Truell's assertion implies that OpenAI's models were not highly popular with Cursor users, and thus, the decision to end the partnership might not substantially affect Cursor's business.

Written by urgent.news from Techmeme's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Also reported by 1 other outlet

Read the original at wired.com →

More in AI

AI Scalability - A Systems Engineer's Guide

In 2001, in the final year of my Computer Science degree, I chose A_I and Neural Networks_ as an elective. The theory was beautiful — backpropagation, perceptrons, gradient descent — and it felt…

  • AlexNet's 2012 win marked shift from hand-crafted vision to deep learning.
  • Systems engineer explains GPU compute scaling impact on AI.
  • Memory layout in C affects CPU performance and cache behavior.

More from Thursday 3 September →