This article looks at how AI agents step into that gap as content producers working with what already exists. They search, curate, assemble, format, and distribute media across devices and platforms while handling payments and attribution automatically. The key distinction is governance: because the rules travel with the media structure itself, agents can operate at scale without becoming a liability. And as fractional payments become automatic and attribution becomes precise, what creators choose to make may start to shift in ways that are worth paying attention to.

Streaming promised to fix what cable broke and instead rebuilt the same walls with better branding. This article outlines a new model where content from any source can be clipped, remixed, and assembled into living channels, with every contributor in the chain getting paid automatically from the moment their work moves.

In this article we discuss solutions for creators, cultural institutions and curators. Programmable media goes beyond the capabilities of conventional editing tools, which export flat files. Instead these layers can be reconfigured for interactive, cross-device uses such as VJing, transforming video podcasts, or interactive education and fitness tools. Old content can be revitalized and reach new audiences, while transmitting payments to the original owners and the people who add these extra features. This is part 2 of the Infrastructure for Programmable Media series.

The media infrastructure we've built over the past few decades was never designed for the way people consume content today. Microdramas are generating billions but remain locked inside single-app silos. Broadway archives sit on hard drives with almost no public access. Fans remix and share clips constantly but without any legal or economic framework to support it. The platforms that benefit most from all this creative energy have no real incentive to fix it. This article makes the case that the problem isn't the content or the culture, it's the infrastructure underneath it, and that building something better starts with understanding exactly where the current system breaks.