Template-type: ReDIF-Paper 1.0
Author-Name: Flavio Calvino
Author-Name: Hélder Costa
Author-Name: Daniel Haerle
Title: Digital technology diffusion in the age of AI: Cross-country evidence from microdata
Abstract: This paper analyses firms’ use of AI, big data analysis, internet of things, robotics and 3D printing across 15 OECD Member countries. It documents seven stylised facts on digital technology diffusion in the age of AI. Advanced technologies tend to build on enabling ones and diffusion varies considerably by sector and technology. Larger firms exhibit higher uptake, and this is not driven by sectoral composition. Human and technological capital – including education, ICT skills and firms’ digitalisation – emerge as critical enablers. Adopters tend to be more productive than non-adopters, with the notable exception of 3D printing, but part of the observed productivity premia can be attributed to differences in human and technological capital. These factors are associated with higher productivity and contribute to explaining adopters’ productivity advantages, particularly in the case of AI. Policies should combine technological, skill development and sector-sensitive measures to accelerate diffusion and unlock productivity.
Classification-JEL: J24; O33
Keywords: Advanced digital technologies, Artificial Intelligence, Productivity, Technology diffusion
Creation-Date: 2026-01-22
Number: 2026/01
Handle: RePEc:oec:stiaaa:2026/01-EN