Enrique Dans' article questions the traditional diffusion of innovation model in light of generative AI's adoption. He suggests that unlike previous technologies, generative AI is being adopted more rapidly in areas with lower education levels. This is attributed to the accessibility, affordability, and usefulness of AI tools. 

Viral dissemination and online communities also play a role, enabling adoption through peer recommendations and immediate positive results. The Brookings Institute study reinforces this idea, pointing out that AI's impact varies across regions, challenging the notion of top-down adoption. Dans concludes that the digital era necessitates new frameworks for understanding technological adoption, as generative AI's spread defies established patterns. 

The article urges a reevaluation of existing models to manage the societal and labor market implications of this rapid technological change.

This article is also available in English on my Medium page, «Just who are the early adopters of artificial generative intelligence?»