Y Combinator co-founder Paul Graham stated that the outside world once viewed artificial general intelligence (AGI) as a clear finish line, but upon reaching it, one realizes that the finish line has width and is essentially a broad band, with humanity already standing on it; the difficulty in booking restaurant reservations is due to the model being stuck in the poorer segment of this band.

In an interview, Graham mentioned that the Turing Test was once sufficient, and he even had to look up the definition to realize he was approaching an outdated standard. From a distance in the 1980s, the finish line appeared as a fine line on the horizon; up close, some capabilities had already crossed the line, while others remained in the middle of the band. Abstract tasks like the Riemann Hypothesis may have already crossed, while tasks like booking, making calls, and continuous operations still fall on the other side of the band.

He wrote the same judgment in June 2026: as a child, he did not realize that AGI would be a broad band rather than a sharp finish line; if he presented a human-like ChatGPT to his younger self, he would directly declare that artificial intelligence had been achieved. In August, he added a testing method: showing the current model to someone from 1980 would lead them to say that we have arrived; contemporary people standing on the line are instead more uncertain.

At the same time, industry perspectives parallel this. NVIDIA CEO Jensen Huang stated in a financial report call that many tasks can be said to have achieved AGI, but then described the milestone itself as meaningless, emphasizing that what truly matters is whether the model is doing useful work, generating profitable tokens, and whether increased computing power can produce more profitable tokens. OpenAI's management described their internal system as close to being able to claim AGI by the end of the year, stressing that inventing new knowledge is what counts as 'very AGI'.

With the finish line rewritten as a broad band, capital no longer bets on 'the day of announcement', but rather prices based on capability slices. Buyers are investing in chips, cloud services, and workflow agents that can reliably produce profitable tokens; sellers are offering narratives that treat AGI as a binary option and applications that cannot achieve closed-loop booking levels. Event-driven dynamics are weak, while capability mismatches drive strong outcomes. Beneficiaries are companies turning the 'unfinished segment' into products, while those still waiting for an official crossing of the finish line are under pressure.

Source: Public Information