Exploring possible AI trajectories through 2030

Hamish Hobbs, Dexter Docherty, Luis Aranda, Karine Perset, Kasumi Sugimoto and Rafal Kierzenkowski
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Rafal Kierzenkowski: OECD

No 55, OECD Artificial Intelligence Papers from OECD Publishing

Abstract: The paper aims to improve understanding of how artificial intelligence (AI) is evolving and explores how AI innovation might advance – or slow down – by 2030. It presents four scenarios for possible AI trajectories by that year, providing a baseline for analysing future developments and their potential impacts.

Keywords: AI; AI scenarios; artificial intelligence (search for similar items in EconPapers)
Date: 2026-02-03
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Persistent link: https://EconPapers.repec.org/RePEc:oec:comaaa:55-en

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