From Opinion as Constraint → Opinion as Design Space
In democracies, policy must pass a majority or consensus threshold. Historically, elites shaped mass support via slow, blunt tools such as education systems, broadcast media, or propaganda, facing high and rigid persuasion costs.
With AI systems that generate, test, and personalize persuasive content at scale, elites can now routinely redesign the distribution of public preferences. The paper asks: What opinion distributions are optimal when persuasion is cheap but future policy needs are uncertain?