OpenAI's AGI date is really a definition, and buyers should price that instead

The definition is doing the work here, not the date. OpenAI's own formulation of AGI is "highly autonomous systems that outperform humans at most economically valuable work" ^[6], which the Decoder describes as a heavily economics-driven reading ^[7], and the term has no precise agreed meaning to begin with ^[8]. The year-end claim is therefore not a claim about minds. It is a claim that one system clears an economic bar the vendor drew and grades.

What clears it, according to chief scientist Jakub Pachocki, is Astra: hand it an experimental idea and it writes the code in OpenAI's codebase, runs the experiment, and reports back with results ^[4]. Hand it a research paper and it covers what would have taken a human researcher about a week ^[5]. That is the most useful figure in the whole account, because it is the only one carrying a unit. One researcher-week, measured inside the codebase of the company doing the measuring.

Mark Chen's "80% of the way" ^[2] has no denominator that anyone can inspect, given that the target term is undefined ^[8]. Paired with Altman's end-of-2026 timing ^[1], it also implies the last fifth of the journey closing inside a single calendar year ^[10], which is a strong claim about the shape of a curve nobody outside the building can plot.

Note also that the milestone is internal. Altman's stated conviction is about a system he would call AGI, and he concedes they are "not quite yet" there ^[1]. Nothing in a customer contract changes on the day of declaration. The part a buyer can actually touch is the persistence work: Codex folded into ChatGPT in a project called "The Merge," which produced ChatGPT Work ^[12], with product lead Thibault Sottiaux saying the company is close to shipping something with "persistence and always-on execution" ^[13]. That is testable. Does the agent hold state across a multi-day task, and what does it do at hour thirty when a dependency moves.

The funding section constrains everything above it. CFO Sarah Friar puts 92 percent of ChatGPT consumer users outside any paid subscription ^[14], ads have tested well enough that leadership is ramping the volume ^[15], and Sponsored Agents would drop a user who clicks an ad into a brand-hosted AI experience ^[16]. The research-intern story and the ad-load story are running on the same balance sheet.

One more thing worth saying plainly: both writeups supplied to this desk are the same Decoder article ^[11], itself reporting Alex Heath's TIME piece built from more than two weeks of work and over 20 interviews with executives, employees, investors and rivals ^[3]. The capability claims that matter come from people who work there. The Decoder itself flags Altman's "invents new things in a way that matters" line as heavily debated ^[18], and reports researchers split on whether recursive self-improvement is near or already visible ^[19].

So the translation for anyone holding a vendor roadmap with AGI on it: what is being promised, under the seller's own definition, is a persistent agent that finishes about a researcher-week of scoped work in a codebase it knows. That is a real product and worth paying for if it lands. It is not the same purchase as a system that outperforms humans at most economically valuable work, and the gap between those two things is where the contract language should sit.