[2606.12683] From AGI to ASI

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Computer Science > Artificial Intelligence

arXiv:2606.12683 (cs)

[Submitted on 10 Jun 2026]

Title:From AGI to ASI

Authors:Tim Genewein, Matija Franklin, Alexander Lerchner, Laurent Orseau, Samuel Albanie, Adam Bales, Cole Wyeth, Stephanie Chan, Iason Gabriel, Joel Z. Leibo, Allan Dafoe, Marcus Hutter, Thore Graepel, Shane Legg<br>View a PDF of the paper titled From AGI to ASI, by Tim Genewein and 13 other authors

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Abstract:Over the last decade, building human-level artificial general intelligence has moved from far-fetched speculation to being a concrete next-decade target for many of the largest AI organisations. Achieving this goal would have profound and far-reaching impacts on human society, which raises many complex questions for the decade ahead. This report investigates how AI itself might continue to develop in a post-AGI world along the continuum of machine intelligence. The endpoint of this continuum, Universal AI, is theoretically well understood, which provides some formal grounding for the main focus of this report: the transition from human-level AGI to artificial general superintelligence, which, intuitively, can be understood as a system that is more intelligent and cognitively capable than large organisations of humans. After characterizing ASI, the report discusses four potential pathways from AGI to ASI: scaling AGI, AI paradigm shifts, recursive improvement, and ASI emerging from large-scale multi-agent collectives. The report then discusses possible frictions and bottlenecks along these pathways. Determining whether the impact of these frictions will be negligible or substantial raises a number of concrete open research questions. Due to large uncertainties for predicting ASI progress, it cannot be ruled out that AI progress might continue to accelerate over the next years. This could imply that the image of a single transformative step change, caused by the introduction of human-level AGI into our society, could be inaccurate. More apt might be the prospect of a series of transformative societal changes caused by AI-enabled progress and breakthroughs across many areas of science and technology. Preparing for this prospect requires a massively interdisciplinary endeavour of global scope and interest.

Subjects:

Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)

Cite as:<br>arXiv:2606.12683 [cs.AI]

(or<br>arXiv:2606.12683v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2606.12683

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arXiv-issued DOI via DataCite (pending registration)

Submission history<br>From: Tim Genewein [view email]<br>[v1]<br>Wed, 10 Jun 2026 21:14:10 UTC (284 KB)

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