RSS Is Back. AI Agents Are Reading It.
Original: Now AI agents need what RSS does
AI agents need RSS-like feeds: open, structured, chronological, and reliable for machine consumption.
The post argues RSS never truly died; it simply stopped being the main discovery interface for humans while continuing to power podcasting. AI agents now need exactly what RSS provides: deterministic lists of new content, structured parsing, and open access without unstable platform APIs. For publishers, adding RSS may make content easier for monitoring, summarization, and aggregation agents to discover reliably.
The core argument of this article is: RSS was once viewed as outdated technology, but in an era where AI agents need to reliably read web content, it has become important again. The author notes that after Google Reader shut down in 2013, many people interpreted RSS's decline as the death of the technology; but in reality, RSS never stopped working—it simply stopped being the primary entry point through which most human users discover content. Social platforms and recommendation algorithms replaced it, because humans are easily drawn to random, unpredictable content streams. However, the needs of AI agents are exactly the opposite: they do not need stimulation or surprise, but rather stable, repeatable, parseable data sources.
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