# OpenAI published that its research organisation reached 3.1 agent-workdays for every workday of human labour, while high-level planning stayed a minimal share of agent output

Page: https://flyvolo.ai/en/changes/ev-20260906-ai-researcher-1
Date: 2026-09-06 · Stage: Deployment
Can this record move a task judgement? yes
Occupation: https://flyvolo.ai/en/careers/ai-researcher

## Scope

One laboratory's disclosure about its own research organisation, with measurements running to mid-August 2026, and the laboratory sells the agents it is measuring — the numbers and the framing both point the same way, which is the direction that suits the seller. Read three limits with it. The 3.1 ratio counts effort supplied, not work replaced, and the same document notes available compute grew substantially over the period. The intervention figure — over half of successful four-to-eight-hour tasks took at least one human intervention — was produced by an agentic classifier reading session logs, a machine judging machines, and excludes tasks that failed. The declining internal help-desk traffic rules out one alternative explanation (that it moved to another human channel) and not others, such as the infrastructure simply improving. Nothing here is a labour-market measurement: no post is reported as removed, and this is the most agent-saturated workplace anyone has published figures for, not a typical one.

## Source

- OpenAI — Research acceleration: The view inside OpenAI — https://openai.com/index/research-acceleration-view-inside-openai/ (primary source)

## What this means

A frontier lab published, with method notes, how much of its own research work now runs through agents: 3.1 agent-workdays for every workday of human labour, and declining internal help-desk traffic. Whatever else is disputed about AI and work, this is one employer showing its own numbers.

## What it does not show yet

It is one employer, self-measured, and that employer sells the agents being measured. Effort supplied is not work replaced: the same document says available compute grew substantially, so more experiments does not by itself mean fewer people were needed. No post was reported as removed. And the intervention figure that keeps a person in the loop came from a classifier reading session logs, not from anyone watching.

## How to verify it yourself

Count it in your own week instead of arguing about theirs. Over your last ten pieces of work, how many ended in code you wrote, and how many ended in a judgement about work something else produced? That ratio is the same measurement, taken where you can check it.


More: https://flyvolo.ai/llms.txt