From AGI to ASI: Pathways and Challenges to Artificial General Superintelligence
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[Submitted on 10 Jun 2026]
Summary
This report investigates the potential development of AI beyond human-level artificial general intelligence (AGI) toward artificial general superintelligence (ASI). It characterizes ASI as a system more intelligent than large organizations of humans, discusses four pathways to ASI (scaling AGI, AI paradigm shifts, recursive improvement, and multi-agent collectives), and examines potential frictions and bottlenecks. The report suggests that rather than a single transformative step change from AGI, we may face a series of transformative societal changes from AI-enabled breakthroughs across science and technology, requiring a global interdisciplinary effort.
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Key quotes
· 5 pulledOver 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.
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.
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.
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