Template-type: ReDIF-Paper 1.0
Author-Name: Hamish Hobbs
Author-Name: Dexter Docherty
Author-Name: Luis Aranda
Author-Name: Karine Perset
Author-Name: Kasumi Sugimoto
Author-Name: Rafal Kierzenkowski
Author-Workplace-Name: OECD
Title: Exploring possible AI trajectories through 2030
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
Creation-Date: 2026-02-03
Number: 55
Handle: RePEc:oec:comaaa:55-EN