There’s a certain kind of image that thrives on Instagram. It’s high contrast, built around a single focal point, and drenched in a colour palette that looks like a packet of fruit chews left out in the sun. Almost always, it’s a painting of a woman. She stares out at you with wet, planetary eyes, her skin rendered in hyperreal smears of digital impasto. Flowers bloom in her hair. Or galaxies. Or both. She is beautiful, technically dazzling, and completely frictionless. She is what happens when the algorithm becomes a patron of the arts.
We’re living through a quiet but total reorganisation of taste. Not since the Medici family decided egg tempera was the hot new thing has a single force so thoroughly dictated what gets made, what gets seen, and what gets called art. That force is the recommendation engine. It doesn’t write cheques, but it does distribute attention. And when rent is due on the 1st, attention is the only currency that matters. The result is a visual monoculture masquerading as a democracy.
The Engagement Trap: Why Your Feed Looks Like a Screensaver
Social platforms aren’t neutral galleries. They’re advertising businesses with a side hustle in self-expression. Every pause, every like, every share trains a machine that has no concept of beauty—only of stickiness. The algorithm noticed that shiny surfaces and symmetrical faces make thumbs hover. So it served up more of them. Artists, in turn, noticed what was getting served. If they wanted to eat, they’d better produce something that looked like it belonged on the cover of a mid-budget sci-fi novel.
This isn’t a fresh complaint. Critics have grumbled about the market’s influence on art since the first patron asked for a bit more gold leaf. But the speed and scale here are different. A Renaissance painter might tweak a composition to flatter a duke. Today’s digital artist recalibrates their entire visual language to flatter a line of code that rewards instant legibility. The image has to read at thumbnail size. It has to trigger an emotional response before the viewer even knows what they’re looking at. Sentiment before sense.
Look at the explosion of “glow” effects. A few years ago, a soft, ethereal backlight was a stylistic choice. Now it’s practically a requirement for hitting the Explore page. The algorithm spotted that luminous edges correlate with longer view times—maybe our lizard brains mistake them for bioluminescence, or a sign from above. So the glow got cranked up. Now we have entire feeds that look like a rave inside a cathedral.
The Death of the Difficult Image
Art that asks for time, context, or discomfort is a tough sell on a platform built for infinite scroll. A painting that unsettles you slowly, over five minutes of quiet looking, is useless if the metric is a half-second pause. The algorithm doesn’t hate difficult art. It simply cannot see it. And what cannot be seen, in the economy of the feed, ceases to exist.
This has produced a strange inversion. Historically, the avant-garde defined itself by refusing to be easily consumed. Now, the most visible “avant-garde” is work that’s been precision-tooled for consumption. Glitch art, once a critique of digital perfection, now ships with a preset pack. Surrealism, which aimed to rattle the rational mind, has been repurposed into whimsical Photoshop composites that rattle nobody. The algorithm has digested the 20th century’s most unruly movements and excreted them as content.
I’m not saying there’s no good art on Instagram. There’s heaps. But the conditions under which it gets made are increasingly hostile to anything that doesn’t double as a phone wallpaper. The feed is a flattening machine. It takes the weird, spiky topography of human creativity and steamrolls it into a smooth, scrollable surface.
The Rise of the Platform-Native Aesthetic
Every platform breeds its own aesthetic. Twitter’s character limit birthed the thread—a staccato, cliffhanger-laden form of storytelling that’s now wormed its way into journalism and literature. TikTok’s vertical video and duet feature spawned an entire genre of split-screen reaction content. Instagram’s square (and later, portrait) format pushed photography toward tightly cropped, centrally composed images that look good on a phone.
But the platform-native aesthetic goes deeper than aspect ratios. It’s about emotional cadence. TikTok art is fast, loud, and built around a reveal. The video shows a blank canvas, then a splash of paint, then a jump cut to the finished piece, all set to a sped-up track. The pleasure isn’t in the object. It’s in the transformation—a magic trick you can watch in seven seconds. The art itself is almost incidental. The process is the product.
This isn’t inherently bad. Watching an artist work can be mesmerising, and the format has introduced millions of people to techniques they’d never encounter in a white cube gallery. But it also trains audiences to expect art to be a performance. The quiet, slow, private act of making becomes less legible. If you’re not filming it, did it even happen? If it can’t be compressed into a Reel, is it even art?
When the Audience Becomes the Curator (and the Curator Is a Robot)
Museums and galleries once served as gatekeepers, for better and worse. They were elitist, exclusionary, and often blind to anything outside a narrow Western canon. The internet promised to smash those gates. Anyone with a phone could post their work and find an audience. The algorithm was supposed to be a democratising force, replacing the snobby curator with the wisdom of the crowd.
What we got instead was a different kind of gatekeeper, one that’s even more opaque and unaccountable. The old curator could at least be argued with. You could write them an angry letter, stage a protest, or schmooze them at a gallery opening. The algorithm is a black box. It doesn’t explain its decisions. It just adjusts your reach based on signals you can’t see, using criteria that change without notice. One day, carousels are king. The next, it’s all about Reels. Artists scramble to keep up, like dancers trying to follow a beat that keeps changing tempo.
This has created a new kind of artistic anxiety. It’s not the romantic angst of the tortured genius wondering if their work will be understood. It’s the practical, grinding anxiety of the small business owner watching their insights tank because the platform tweaked something. Artists now talk about “cracking the algorithm” with the same grim determination that salespeople talk about hitting their quarterly targets. The language of creativity has been colonised by the language of growth hacking.
The Homogenisation of the Gaze
Here’s the thing that keeps me up at night: the algorithm doesn’t just shape what we see. It shapes how we want to see. After years of scrolling through algorithmically optimised images, our visual appetites have been trained. We crave the dopamine hit of a perfectly composed, instantly gratifying picture. The slow burn of a challenging artwork feels, to our rewired brains, like a glitch. We scroll past.
This feedback loop is tightening. Artists make work that performs well. The algorithm shows more of that work. Audiences become accustomed to that work. Artists make more of it. The range of acceptable aesthetics narrows. The edges get sanded off. We end up in a global visual culture that is, paradoxically, both hyper-diverse in its surface references and crushingly uniform in its emotional register. Everything is pretty. Nothing is dangerous.
Consider the fate of abstraction. A century ago, abstract art was a radical break from representation, a punch in the face of bourgeois taste. Today, abstract art on Instagram is overwhelmingly decorative. Swirling acrylic pours, geometric colour blocks, soothing gradients. It’s designed to look good above a sofa. The algorithm has turned abstraction into interior design.
The New Patronage: Brands, Not Popes
If the algorithm is the new Medici, then brands are its courtiers. Corporate sponsorship of art is nothing new—the Medicis were bankers, after all—but the relationship has become more direct and more transactional. An artist with a large following doesn’t need to wait for a gallery to sell their work. They can monetise directly through sponsored posts, affiliate links, and merch drops. The brand becomes the patron, and the artist becomes an influencer who happens to make art.
This isn’t necessarily a sellout narrative. Many artists have built sustainable careers this way, bypassing the traditional gatekeepers who would have ignored them. But it does change the nature of the work. When your income depends on maintaining a certain level of engagement, you start to self-censor. You avoid subjects that might alienate your audience or, more importantly, the algorithm. Political art, erotic art, genuinely unsettling art—these become liabilities. The feed becomes a safe space, and safe art is boring art.
The irony is that social media platforms love to present themselves as spaces of radical self-expression. “Here’s a place where you can be yourself,” they say, while quietly optimising for the most palatable, advertiser-friendly version of yourself. The algorithm doesn’t want you to be yourself. It wants you to be a content farm with a consistent aesthetic and a regular posting schedule.
Resistance Is Possible (But It’s Not a Filter)
So what’s an artist to do? Quit Instagram and retreat to the woods? Some have. The painter Sean Scully, for instance, has spoken about his refusal to engage with social media, insisting that his work requires a physical encounter. But for most working artists, especially emerging ones, opting out isn’t a viable strategy. The platforms are where the eyes are. Ignoring them is a privilege reserved for those who already have a market.
A more interesting approach is to hack the algorithm rather than obey it. Some artists are creating work that explicitly critiques the platforms it’s displayed on. Others are using the algorithm’s own logic against it, producing images that are so aggressively optimised they become uncanny—a kind of algorithmic camp. There’s a growing genre of Instagram art that mimics the visual language of ads, influencer culture, and corporate branding, repurposing these aesthetics to unsettling effect.
But the most radical act might simply be to make work that refuses to perform. Work that is slow, difficult, and demands more than a double-tap. Work that treats the feed not as a destination but as a window—a glimpse of something that exists elsewhere, in a physical space, in a longer duration, in a messier, more human context. The algorithm can’t see that work. But people can.
Frequently Asked Questions
Does social media actually change what kind of art gets made?
Absolutely. Artists respond to incentives, and the primary incentive on social media is engagement. This pushes work toward being instantly legible, emotionally immediate, and visually striking at thumbnail size. It’s not a conspiracy—it’s just a feedback loop. The art that gets seen is the art that gets made more often.
Isn’t this just the same as artists always adapting to the market?
Yes and no. Artists have always had to consider their audience, whether it was a Renaissance pope or a 20th-century gallery owner. But the speed and scale of algorithmic feedback is unprecedented. A painter in the 1800s might wait months for a review. Today’s digital artist gets instant metrics on every post. That rapid feedback accelerates the homogenisation of style.
Can good art still succeed on social media?
Of course. But “success” on social media is measured by engagement, not by artistic merit. The two can overlap, but they’re not the same thing. A brilliant, challenging artwork might go viral if it hits the right emotional note at the right time. But the system is not designed to surface brilliance. It’s designed to surface stickiness. The difference matters.
What can audiences do to support more interesting art?
Seek out work beyond the feed. Visit galleries, buy from artists directly, follow curators who have a point of view rather than just an algorithmically generated feed. When you’re on social media, engage with the work that surprises you, not just the work that pleases you. And if you’re an artist, consider making work that the algorithm doesn’t know what to do with. The machine learns from us. Let’s give it something it can’t categorise.