# What Is AGI? Definition, Timelines & Current Status

_Last updated: August 26, 2026 · Updated as verdicts change_

**Answer:** AI that can do the cognitive work of a skilled human — and the definition is half the fight. AGI (artificial general intelligence) usually means AI that can perform essentially any cognitive task a human professional can. But forecasters use materially different bars — from “drop-in remote worker” to “automated AI researcher” — and that definitional gap explains much of why public AGI timelines range from 2026 to 2047.

## FAQ

**What is AGI in simple terms?**

AGI (artificial general intelligence) is AI that can do essentially any cognitive task a skilled human professional can — not just chat or pass tests, but perform real work across domains. The strictest common bar is AI that can autonomously do AI research itself.

**What is the difference between AGI and ASI?**

AGI matches skilled humans at general cognitive work; ASI (superintelligence) is far beyond the best humans at essentially everything. In most forecasts AGI comes first and, by automating AI research, accelerates the path to ASI.

**Does AGI exist in 2026?**

By the loosest definition (benchmark-level capability on scoped tasks), arguably close — ~83% on GDPval-style knowledge work. By the serious bars — a reliable drop-in worker, or an automated AI researcher — no. That autonomy gap is why the AGI-by-2027 prediction is still Open.

**Why do AGI predictions differ so much?**

Mostly definitions and weighting of the autonomy gap. Forecasters using capability-centric bars predict 2026–2027; those weighting reliability and autonomy land 2030–2047. Public forecasts currently span Musk (2026) to the academic survey median (2047).

**What are examples of AGI today?**

There are none — no deployed system in 2026 meets a serious AGI bar. The closest candidates are frontier models scoring ~83% on GDPval-style knowledge work, which still fail the two bars that matter: working as a reliable drop-in employee, and doing autonomous AI research. Until one exists, the honest examples are hypothetical — which is why this site tracks eight dated predictions (62.5/100) instead of pointing at a product.

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