The Impact of Artificial Intelligence on Complexity

Theodore Modis
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Theodore Modis: CERN

No rtw9b, OSF Preprints from Center for Open Science

Abstract: This is an update of a 22-year old study that attempted to quantify complexity (in arbitrary units) for the entire Universe in terms of 28 evolutionary milestones – breaks in historical perspective – and concluded that complexity will soon begin decreasing. AI is considered here as the latest such milestone. At the same time the data have been improved and the focus is now sharpened by studying only the recent 14 milestones, those relating to humans. The old conclusion is corroborated here with AI positioned at the beginning of the downward trend of the complexity cycle. The contribution of AI to complexity is expected to be somewhat smaller than that of the Internet. The next evolutionary milestone of comparable importance is expected around 2052 and should add less complexity than AI but more than nuclear energy/DNA/transistor.

Date: 2023-11-21
New Economics Papers: this item is included in nep-cmp and nep-hme
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:rtw9b

DOI: 10.31219/osf.io/rtw9b

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