The genuine expansion of human understanding created when automation generates data about processes—unrealized in most transitions Zuboff studied, largest in AI's history, captured only through institutional design.
The informating dividend is Zuboff's term for the knowledge-creation potential that accompanies every automating technology. Computerized paper mills automated physical digester operation while simultaneously generating continuous data streams about temperatures, pressures, chemical compositions—information that enabled understanding at granularity and precision no hands-on operator could achieve. The dividend is real: new knowledge genuinely becomes available. But possibility and realization diverge. Zuboff's empirical finding across four decades: the informating potential is systematically unrealized because institutions choose the cheaper path—automation without the investment in human development required to capture new knowledge. AI produces the largest informating dividend in history—revealing patterns, generating hypotheses, enabling integrated cross-domain understanding—yet follows the same institutional trajectory toward extraction without elevation.
The Informating Dividend
In The You On AI Field Guide
Zuboff's framework dissolves the false binary between technology as threat and technology as savior. Every smart machine simultaneously automates and informates—destroys old knowledge forms while creating potential for new ones. The question is never whether to adopt technology but how to deploy it: whether institutions invest in