We’re shifting from capturing attention to governing it, a move Aurélie Radom argues is necessary now that AI has made machine focus cheap and human attention the true scarce resource. This governance challenge extends to our tools and processes, from Will Schiavone’s findings on AI’s nuanced but fragmented coding of user responses to the practical headache of retiring static design assets that live on in local libraries. We explore how these shifts force us to rethink everything from organizational headcount to the statistical foundations of our research, asking whether we are truly building systems or just filling templates.
