
Are we cultural investors or cultural vampires?
But here's the uncomfortable question nobody's asking: Are we actually supporting these cultures, or are we just bleeding them dry?
I'd argue that most of the 'culturally relevant' work we celebrate is sophisticated extraction. We're mining Middle Eastern subcultures without giving anything meaningful back to the communities we're borrowing from.
We call ourselves culturally relevant. We're actually cultural vampires.
The playbook
The pattern is all too familiar. A brand discovers an emerging subculture. They find a 'powerful' data point. They hire the right photographer, cast authentic talent (maybe a notable influencer), and nail the aesthetic perfectly.
The campaign wins awards for its cultural authenticity.
The subculture gets nothing beyond their world commodified and their credibility borrowed for three months before the brand moves on to the next trend.
This isn't cultural engagement. It's extraction dressed up as relevance. We take the valuable elements – the aesthetics, the language, the credibility – while leaving the actual community no better off. Sometimes even worse, as our involvement accelerates gentrification and erodes authenticity.
We've gotten exceptionally good at this. Participating in culture without actually supporting it. And the difference matters more than we'd like to admit.
Subcultures can't survive our attention
Unlike established institutions that can weather commercial involvement, subcultures are fragile ecosystems. They thrive on scarcity, authenticity, and a tight-knit community. When brands treat them as resources to be harvested, we disrupt the very dynamics that made them culturally powerful to begin with.
How many underground music scenes survived mainstream commercial attention? How many street cultures stay authentic once luxury brands discover them? What happens to gaming communities once they've become marketing targets, or to food culture when brands borrow regional culinary traditions for campaigns?
We're killing the thing we're trying to benefit from.
Investing in vs extracting cultural work
There are examples that work.
Red Bull remains the gold standard for cultural investment because they didn't just borrow from extreme sports – they became integral to building it. They funded athletes when no one else would. They created events that didn't exist. They built platforms that gave the community a voice.
Similarly, Spotify's investment in Ghana's Vibrate Space shows what mutually-beneficial infrastructure looks like. Rather than simply featuring Ghanaian artists on playlists, Spotify funded a multi-year community recording studio and music business programme. Over 200 studio bookings, artist mentorship, educational programming, and plans for artist-in-residence programmes – run by locals, for locals. When Spotify's data showed that Ghanaian artists generate six global streams for every local one, they invested in strengthening the source rather than just celebrating the output.
That's cultural investment. Putting resources toward making the subculture better off, not just making your brand look 'relevant.' It means that if your brand disappeared tomorrow, the subculture would miss you — the difference between a local and tourists with fancy cameras.
Most of our cultural work? Sadly, it fails this test.
Cultural hard truths
Look, I'm not saying brands shouldn't participate in Middle Eastern culture. Our communities need resources, and brands have resources. But we need to stop pretending that vibe appropriation equals cultural resonance. We need to admit when we're extracting rather than investing.
Skateboarders don't need another brand campaign featuring their tricks. They need skate parks, equipment funding, and platforms for their own voices. Supper clubs don't need brand curated menus. They need resources for better equipment, venues for meals, and support of the artistry.
So as we scroll through the endless LinkedIn humble brags and update our decks with this year's 'culturally relevant' case studies, maybe we should ask better questions than 'how did they sell that?'
Let's ask: Did this work make the culture stronger? Would this community be worse off if our involvement ended tomorrow? Are we contributors or just cultural vampires?
Because, if we're honest, most of our award-winning cultural work is just well-executed vampirism. And vampires, however charming, always leave the things they love weaker.
By Murali, Founder and Managing Partner, Jockamo Barnes

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AI-generated band Velvet Sundown is a Spotify hit, but is the music any good?
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At its algorithmic heart, Velvet Sundown is more a stylistic experiment than a creative expression. They evoke the warm, washed-out tones of 1970s Laurel Canyon folk – a hazy Americana sound informed by soft guitars, genteel percussion and warm ambience. The references are convincing. But as a listening experience, it wears thin fast. Take Dust on the Wind, currently the band's most-streamed track. It's laid-back, mellow and competently arranged. The bassline rolls along gently, the percussion shuffles lightly behind the guitars and the whole thing lands exactly where it should. While the song has a definite vibe, it's not enough if that's all there is. Drift Beyond the Flame and The Wind Still Knows Our Name follow similar patterns, and after a while, that samey-ness starts to set in. And after 20 songs of this, the question stops being about whether they are real and more about why they don't make me feel anything? Part of the answer lies in the vocals. The singer (credited as Gabe Farrow) – or rather the simulated voice – is programmed to sound like a restrained crooner, somewhere between a diet Chris Cornell and Jeff Buckley, but without the risk. Every note falls exactly where it should, like Tetris blocks. Just when a vocal line is begging to be lifted or break slightly, it stops flat as if the air's been cut. You don't hear breath intake, strain or any of the human cracks that gives a performance its vulnerability. The voice never truly soars, and maybe, for now, it can't. The music across both albums, all 26 songs in total, carries the same uniform restraint. The titles suggest emotional weight – End the Pain, Smoke and Silence and Drift Beyond the Flame – but the lyrics rarely move beyond generalities. While criticising an album for vague writing can feel like low-hanging fruit, it's harder to ignore when the genres referenced are built on a tradition of evocative lyrics that are often direct, searing or emotionally grounded. End the Pain promises catharsis but never builds towards anything. Smoke and Silence is filled with empty slogans (raise your voice, break the chain / Sing for peace, end the pain) and Dust on the Wind, with its soft tone and strongest melody, drifts through pastoral scenes without direction. Even in folk or Americana, genres often known for their ambience and intimacy, there's usually a sense of movement, of intriguing emotional drift. Think of Neil Young's 1970 album After the Gold Rush, a genre cornerstone whose songs sway between togetherness and dissonance. It features tracks such as Southern Man that bristle with urgency, and Don't Let It Bring You Down, which drifts between melancholy and resolve. Or take Joni Mitchell's 1971 album Blue, where A Case of You feels fragile and raw, like it could unravel at any moment. These songs and albums sound intimate, but never inherently inert. With Velvet Sundown, everything sounds nice, but nothing surprises. And for music made by a system designed to predict, maybe that's the only extent it can currently produce. This is what makes the band's creator or creators - they haven't been revealed - choice of genre strange. You'd think AI's full-throttled invasion into popular music would begin on more familiar terrain such as electronic dance music or hip-hop – music built on software, loops and programmed rhythm. But instead, Velvet Sundown is making guitar-based music and those limits are clear. Rock, folk, Americana – are genres that rely on, or even revel in, human traits – timing that's slightly off, choruses that perhaps run too long and vocals that crack. They're messy in nature. For all the cliches about four chords and a chorus, guitar music works because it's imperfect. AI can sketch the outline, but it can't inject the feeling or attitude that pushes a song somewhere unexpected. Which brings us to the broader problem, not with Velvet Sundown, but with the ecosystem they're presently thriving in. Their success is less about the quality of AI replication and more about how streaming has reshaped what listeners value in music. Playlists used to be about exploration and discovery, and now they are seemingly about consistency. Mood-based curation, such as the unofficial Spotify playlist Good Mornings – Happily Positive Music to the Start the Day featuring Velvet Sundown, has flattened the sonic landscape to the point where a fake song can sit comfortably between works by real, era-defining artists such as The Beatles and Billie Eilish. The result is a listening culture increasingly valuing indistinction. Music becomes background and texture, not narrative or expression. The reported calls by artists and industry to flag or ban AI bands such as Velvet Sundown – who are, unsurprisingly, back with another album next week – are understandable. 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Are we cultural investors or cultural vampires?
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