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RSS is back. AI agents are reading it

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Why This Matters

RSS's enduring utility lies in its ability to provide AI agents with a reliable, structured, and open method to access content without restrictions or unpredictability. As AI-driven tools become more prevalent in content monitoring and summarization, the importance of open protocols like RSS is resurging, highlighting their critical role in the future of digital information flow.

Key Takeaways

Google Reader died in 2013 and everyone called it. But RSS never stopped powering podcasting, and now AI agents need exactly what RSS does.

RSS was declared dead in 2013 when Google shut down Reader. The eulogies were premature and wrong about the cause. RSS never stopped working. It stopped being the primary way humans discovered content, because social algorithms offered something RSS could not: the addictive randomness of a variable reward schedule. Humans find that irresistible. Agents do not.

An AI agent that monitors competitor releases, tracks regulatory changes, or summarises research does not want to be surprised. It wants:

a deterministic list of what is new

a structured format it can parse without guessing

no rate limits tied to an advertising relationship

no authentication wall protecting public content

RSS provides all four. Social platform APIs provide none of them. When they do, they revoke access on a quarterly basis and charge for it. An RSS feed is pull-based, open, and consistent in a way that no algorithm is designed to be, because an algorithm's job is to be inconsistent.

The clearest evidence that RSS was never really dead is podcasting. Every podcast app (Spotify, Apple, Overcast, Pocket Casts) pulls episode files and metadata from RSS feeds. The $25 billion podcast industry runs on a protocol published in 2002. Nobody disrupted it because there was nothing to disrupt: open, free, no middleman, nothing to negotiate access to. The episode is at the URL in the feed, always has been.

The same logic will now extend to any written content that agents need to reliably consume. A language model retrieving context for a user query, a monitoring agent checking for new filings, a summarisation tool ingesting newsletters: all of them benefit from a predictable, structured, chronological list of new content. That is all RSS is. The question is whether your content is reachable that way, or whether it lives inside a system that was designed for human attention and actively degrades programmatic access.