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25% of OpenAI Codex requests are for tasks that take humans 1+ hour to complete…

Brief

OpenAI's Codex is reportedly handling 25% of requests that take humans over an hour, with non-engineers growing fastest. The author claims Codex now drives internal model research and 99% of product development, and that its long-horizon abilities excel in finance, legal, and recruiting — amplified by recent “jalapeño” news and OpenAI’s paper on agentic delegation.

Why it matters

25% of OpenAI Codex requests are for tasks that take humans 1+ hour to complete, and the fastest-growing user segment is non-engineers.

Key details

  • Internal model research and product development are now primarily driven by Codex, which the author claims accounts for 99% of product development efforts.
  • Codex long-horizon capabilities are excelling at non-coding domains (finance, legal, recruiting); author cites this plus the recent “jalapeño” news and an OpenAI paper showing a shift from chat to agentic delegation as major wins.
Source evidence

looks like openai’s silently taking the lead for long horizon agentic ai tasks

25% of codex requests are for tasks that take humans 1hr+ to complete but the fastest growing users are non engineers

meanwhile internal model research is now primarily driven by codex. 99% of product development.

another important thing - codex long horizon work is excelling for NON-coding tasks (finance, legal, recruiting)

this + the jalapeño news yday are huge wins for them.

OpenAI Newsroom (@OpenAINewsroom)

Codex usage at OpenAI gives us a preview of what agentic work may look like in the future.

In a new paper, the OpenAI Economic Research team looks at the broader shift from chat to delegation: people using agents not just to get answers, but to hand off longer, more complex work.

openai.com/index/how-agents-…

Link

How agents are transforming work

A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles.
openai.com

— https://nitter.net/OpenAINewsroom/status/2070180324651528434#m