When Will AGI Happen? Every Prediction, Tracked and Scored

Update, August 31, 2026: The newest answer to when will AGI happen landed on August 26, 2026, when Sam Altman told TIME that OpenAI does not have AGI yet, but that by the end of this year he expects an internal system he would personally call AGI, with chief research officer Mark Chen putting the company “80% of the way” there. That is the newest date on the board. It arrives in a year when two other named dates have already come and gone, and while the largest forecasting community on the question sits at April 2033. The table below is current as of today, and every row carries the date the prediction was made, not just the year it points at.

Every leader of a frontier AI lab has now named a year for artificial general intelligence, and the years cluster suspiciously close to the fundraising cycle. Sam Altman says an internal system by the end of 2026. Dario Amodei wrote that it could come as early as 2026. Elon Musk said 2025, and when 2025 passed he said the end of 2026. Demis Hassabis says around 2030, plus or minus a year. The forecasting community that has tracked this question longest lands on April 2033, and Yann LeCun raised over a billion dollars on the position that none of them will get there the way they are trying.

Most roundups list those dates and stop, which is the least useful part. A date tells you nothing without two things attached: the definition of AGI behind it, and whether the person’s previous date already expired. This page tracks both, as a living scoreboard rather than a prediction of its own.

The Key Takeaways

• There is no agreed date. Frontier lab leaders cluster on 2026 to 2030, the Metaculus community sits at April 2033, and serious skeptics decline to name a year at all.
• Two dates have already expired in public. Musk’s 2025 came and went, and Amodei’s “as early as 2026” has four months left on it.
• The famous Altman 2025 prediction is a misquote. He wrote that OpenAI knew how to build AGI and that agents would join the workforce, not that AGI would arrive that year.
• The spread is mostly definitional. Metaculus sits years later than the CEOs partly because its question requires a robot that can assemble a scale model car from written instructions.
• There is now a score, not just opinions. A psychometric definition published in October 2025 rates GPT-4 at 27% and GPT-5 at 57% of a well-educated adult’s cognitive range.

When Will AGI Happen? The Short Answer

There is no agreed date. As of August 2026, frontier lab CEOs cluster on 2026 to 2030, aggregated forecasting communities sit near 2033, and prominent skeptics say later or refuse to name a year. The spread is mostly definitional: the forecasts are not answering the same question, and several previously announced dates have already passed without anyone declaring a miss.

That last point is the one worth sitting with. This is a field where the people making the predictions are also the people raising money against them, and where nobody keeps score. A prediction that expires quietly costs its author nothing, so the incentive runs entirely in one direction. The rest of this page is an attempt to keep score anyway.

Every AGI Prediction, Tracked

Each row records the date claimed, when it was said, the definition behind it, and whether it is still live.

How to read the status column

Live means the date is still in the future. Expired means it passed with no system meeting the claim. Revised means the person named a new date after an earlier one lapsed, which is not dishonest by itself, but is worth recording, because a forecast that keeps moving forward at the same speed as time is not really a forecast.

The definition column is doing the work

Look down that column and the apparent disagreement mostly dissolves. Musk’s bar is an AI smarter than one very smart person. Hassabis wants every cognitive function of the human brain. Metaculus wants a robot that can build a model car. These are not competing estimates of the same event, they are estimates of three different events, and lining them up in a single list without the definitions is how the subject became so confusing in the first place. If you want the underlying disagreement itself, we covered it in our full explainer on what artificial general intelligence actually means.

The Dates That Have Already Passed

No tracker of this subject seems willing to grade the entries, which is strange, because the expired ones are the most informative rows on the board.

Elon Musk: 2025, then 2026

In April 2024, speaking to Norwegian fund chief Nicolai Tangen, Musk said that if you define AGI as smarter than the smartest human, it was “probably next year, within two years”. Next year was 2025. It arrived and left with no such system. At Davos on January 21, 2026, he said: “We will have AI that is smarter than any one human probably by the end of this year.” Both quotes are on the record, the definition did not change, and only the year moved.

Sam Altman: the 2025 line everyone misquotes

This one is repeated so often that correcting it matters more than scoring it. In his January 2025 post Reflections, Altman wrote: “We are now confident we know how to build AGI as we have traditionally understood it. We believe that, in 2025, we may see the first AI agents join the workforce and materially change the output of companies.” Read it closely and it contains two claims, neither of which is “AGI in 2025”. He claimed knowledge of the method, and he predicted agents at work. Trackers that list Altman with a failed 2025 AGI prediction are grading him against something he did not say. His actual dated claim is the current one, and we broke it down in detail in our analysis of what Altman actually promised for 2026.

Dario Amodei: a floor, not a forecast

Amodei is routinely listed as predicting 2026. What he wrote in Machines of Loving Grace in October 2024 was: “I think it could come as early as 2026, though there are also ways it could take much longer.” That is a floor with an explicit escape hatch, not a commitment, and he was careful enough to add that he dislikes the term AGI altogether, preferring “powerful AI”. The date still has four months to run, and the terminology swap is itself part of the story, which is why his position deserves the fuller treatment we gave it in our piece on the Anthropic timeline.

When Will AGI Happen According to Each Camp

Sort the forecasters by who is making them and the pattern is immediate.

Why the labs are earliest

Lab leaders are forecasting a system they are personally building, judged by a standard they set themselves, in front of investors. That is not an accusation of dishonesty. It is a description of the position, and it would bias any human being alive. Notice also that the lab definitions are consistently the loosest ones on the board, and that Altman’s current claim is explicitly about an internal system that nobody outside OpenAI will be able to check.

Hassabis is the partial exception, and the most consistent forecaster in the group. At Stanford in June 2026 he said we are “only a few years away from that, maybe 2030, plus or minus a year”, which is close to the 50% chance by 2030 he gave a year earlier, and he sets a notably harder bar than his peers: matching or exceeding human cognition on any intellectual task. His own co-founder has been more aggressive still, which we covered in Shane Legg’s 2028 prediction.

Why the forecasters are later

Metaculus forecasters are scored on accuracy over time, and they are answering a question with written resolution criteria they cannot reinterpret later. Its general AI question requires four things at once: passing a two hour adversarial Turing test, at least 90% mean accuracy on a broad knowledge benchmark, at least 90% top-1 accuracy on interview-level coding problems, and general robotic capability, defined as autonomously assembling a 1:8 scale Ferrari model from human-readable instructions. As of late August 2026 the community estimate is April 2033, with a range from mid-2029 to December 2040.

That robotics clause explains most of the apparent gap with the CEOs. A system that out-argues every human alive but cannot pick up a screwdriver fails the question. Metaculus runs a second question without the robotics requirement, and as of June 2026 that one sat at June 2028, roughly five years earlier for the same underlying technology. Same community, same moment, five years of difference produced entirely by the definition.

Why the skeptics refuse a date

The strongest skeptical position is not that AGI is far away, it is that the current road does not lead there. Yann LeCun announced his exit from Meta in November 2025 after twelve years as its chief AI scientist, co-founded AMI Labs in Paris, and raised $1.03 billion on March 9, 2026 at a $3.5 billion pre-money valuation to build world models, systems that learn from video and physical interaction rather than text. His stated position is blunt: scaling large language models will not get anyone to AGI. Whatever you make of it, it is the largest funded bet against every date in the table above, and it comes with no competing date of its own, which is more honest than most entries here.

How Close Are We to AGI Right Now

Until recently there was no way to answer this except by opinion. That changed in October 2025.

The first real score

A paper titled A Definition of AGI, whose authors include Dan Hendrycks, Max Tegmark, Gary Marcus, Yoshua Bengio and Eric Schmidt, grounds the question in Cattell-Horn-Carroll theory, the most empirically validated model of human cognition, and breaks general intelligence into ten cognitive domains. Scored against a well-educated adult, it puts GPT-4 at 27% and GPT-5 at 57%. That is a real measurement with a real methodology, and it reframes every date above: the question stops being whether AGI feels near and becomes how fast the remaining 43% closes.

The shape matters more than the number

The same paper describes today’s models as “jagged”: strong in knowledge-heavy domains, with critical deficits in foundational machinery, particularly long-term memory storage. Google DeepMind reached a compatible conclusion from a different direction in a cognitive taxonomy published on March 17, 2026, which names ten abilities including memory, learning, metacognition and social cognition. The DeepMind work publishes no model scores, so treat the two as separate instruments that happen to agree on the shape of the gap. Both find the same thing: reasoning is strong, memory and continual learning are weak. That is not a gap that closes on a schedule anyone has demonstrated.

What Counts as AGI Here

Briefly, since it is the whole reason the dates disagree. AGI is a hypothetical system that matches human performance across essentially any cognitive task rather than one narrow job, and transfers what it learns to unfamiliar problems without retraining. No such system exists. There is no single accepted test, and the definitions in the table above range from “smarter than one clever person” to “every cognitive function of the human brain plus robotics”. The gap between those two bars is worth several years on its own. The full argument, including who holds which definition and why it has become commercially consequential, is in the AGI definition explainer, and the ladder of capability levels above and below it is mapped in the seven levels of AI.

When Will AGI Happen? What Would Have to Change First

Rather than picking a year, it is more useful to know what would have to become true for any of these dates to land.

Memory that persists

Both 2026 measurement frameworks put long-term memory at the centre of what is missing. Today’s systems do not accumulate experience across sessions in any deep sense. Until that changes, high benchmark scores keep coexisting with a system that cannot remember what it learned last week, which is not what anyone means by general intelligence.

Learning after training

Related, and harder. A person who takes a new job is materially better at it in a month. Current models are frozen at the end of training and improved by retraining, which is a different thing wearing similar clothes. Continual learning is the capability that would most clearly move the score, and no lab has shown it working at scale.

A test everyone accepts

Absent this, an AGI announcement will be contested the day it happens. Altman has already said the first system he calls AGI will be internal, which means the announcement and the verification would come from the same building. Given how much rides on the word, including risk questions we looked at in our piece on p(doom), an outside standard matters more than another date.

The Honest Verdict

If you want one number, the most defensible is the Metaculus general AI estimate of April 2033, because it is the only figure here attached to written criteria, forecast by people who are scored when they are wrong. The lab dates are worth watching but should be read as statements of intent from interested parties, and the two that have already lapsed are the reason for the caution.

The practical takeaway for anyone not building a frontier model is smaller and more immediate. Whatever year it lands, capability today is jagged and unevenly distributed, which means the model that is best at your particular task changes month to month. That is an argument for keeping several of them within reach rather than betting on one, and it is why we maintain a current comparison of the leading AI models. This page will be updated as dates expire or move.

Frequently Asked Questions