Random Access Memory / Random Access Culture

By James Kirkham

The term predates Daft Punk by several decades. Random Access Memory was coined to describe a kind of computer storage where data could be retrieved in any order, without following a sequence with everything equally and instantly available. It was designed as a description of how machines think but I think it’s become a far better description of how we experience culture now in 2026.

Consider the fourteen-year-old who hears Fleetwood Mac on a TikTok about toasties. They Shazam it from a screen, stream “Dreams,” maybe buy a vinyl they don’t own a player for, catch a reference in a Netflix show, wear the t-shirt to school. It doesn’t matter if they know what came before or after Rumours, or whether they’ve ever listened to the whole record front to back. They accessed the culture at random, pulled what resonated, and kept moving.

There’s nothing wrong with this. In fact it’s increasingly how the rest of us live bouncing between eras, formats, and contexts with an ease that would have been incomprehensible twenty years ago. A playlist that runs Sabrina Carpenter into Massive Attack via Wang Chung or your reading list assembled because of an Instagram caption, then a Substack discovered through someone’s story. There’s no cultural how-to syllabus governing any of it thank goodness.

We worry people don’t appreciate things properly anymore, that they just skim and cherry-pick. But the old model what you might call linear or sequential access culture was never quite the temple of depth its defenders imagine it was. Record labels decided release schedules and radio DJs curated playlists. Magazine editors compiled the essential lists so although it all felt organic and flowing and natural it was largely manufactured by people whose interests were largely commercial.

What I’m noticing right now, everywhere, is something different and the random access paths are getting longer and stranger, and they’re producing a kind of cultural fluency that the old sequential model rarely did. Like the kid who gets into architecture through Minecraft or the twentysomething who discovers Metalheadz because a Goldie sample surfaced in a Fred again.. set, then falls into the Reinforced Records back catalogue via a YouTube rabbit hole, and is now buying jungle white labels from Discogs at three in the morning. These aren’t just another shallow engagement but an example of where genuinely curious people are following chaotic but self-directed threads through culture, assembling knowledge that no curriculum would have prescribed.

I think 2026 is the year this becomes impossible to ignore as recommendation algorithms get more sophisticated, and as platforms increasingly surface long-tail content to differentiate themselves from each other, the entry points into culture will grow more oblique and more numerous. Spotify is already experimenting with AI-curated deep dives, tikTok’s algorithm has always rewarded the unexpected juxtaposition.  The infrastructure of random access is maturing, and the people using it are maturing with it.

The concern has always been breadth at the expense of depth nut I think the evidence is running in the other direction. What random access culture actually produces is depth from unexpected origins people arriving at serious knowledge through frivolous starting points, which is arguably how most of the interesting people you know got interesting in the first place.

There’s something worth paying attention to in a generation that can start anywhere and still end up somewhere well profound. The entry points are stranger, the paths more tangled but the culture that emerges from all of it may be properly exciting and alive.