How Digital Shopping Transformed Fashion Into an Image-First Industry

Luxury brands are hiring real artists and hosting phone-free events to counter AI-generated perfection and prove their worth as quality declines from prioritizing how products look on screens over how they actually feel.

Summary of Has Fashion Had Enough of AI?. Every timestamp links into the original audio.

The short version

• 00:01:42 — In the simulation era, imagery of clothing matters more than the physical garments themselves, especially through how consumers interact with fashion on screens and social media platforms.
• 00:02:18 — As people view clothes through small screens online, logos have become the most important visual marker since textures and quality details are invisible in digital images, reducing incentive for designers to focus on actual craftsmanship.
• 00:03:48 — Consumer alienation occurs when items ordered online based on attractive images arrive in disappointing condition, creating a disconnect between digital expectations and physical reality.
• 00:05:00 — Luxury brands raised prices without corresponding increases in quality or creativity, contributing to consumer skepticism about whether luxury goods justify their cost.
• 00:06:02 — Artificial intelligence as a tool is amoral and depends on how it gets used; while AI could free up small designers from tedious tasks to focus on creativity, it can also create completely realistic images of products that don’t physically exist.
• 00:08:10 — Luxury brands employ real artists for campaigns and store displays to prove their value proposition, since AI-generated perfection is increasingly viewed as undesirable rather than aspirational.
• 00:11:05 — Brands host phone-free dinners, in-store classes, and hands-on activities that physically prevent attendees from using phones, creating genuine human connection and engagement that traditional digital marketing cannot achieve.
• 00:15:43 — Success measurement for analog brand experiences is shifting from social media metrics like follower counts and engagement volume toward long-term customer retention and deeper influencer relationships.
• 00:16:58 — Gen Z, despite growing up online, is questioning technology’s role in their lives and seeking balance, suggesting a cultural move away from purely digital-first approaches toward hybrid experiences that combine physical and digital elements.

In depth

What Rapkin actually means by the ‘simulation era’

Mark Bain’s framing, drawn from his conversation with critic Eugene Rapkin, is that fashion has entered a period where the image of a garment carries more weight in a shopper’s mind than the garment itself 00:01:42. This isn’t simply a claim that marketing matters, which would be banal; it’s a claim about how the object is designed in the first place. Bain argues that once clothes are primarily encountered as small pictures on a phone screen, the features that survive that compression become the features that get prioritized in design and merchandising, while everything that doesn’t survive compression quietly loses institutional priority 00:02:12.

The clearest casualty in this account is the logo. Bain notes that logos aren’t new to fashion, but their dominance intensifies specifically because texture, drape, hand-feel and construction quality are illegible on a small screen, whereas a logo reads instantly at any resolution 00:02:18. The argument is essentially about incentives, not conspiracy: if the thing that gets noticed and shared is the thing that’s cheap to signal, design effort migrates toward that thing. Bain is careful to note this is Rapkin’s framework rather than an established economic fact, though he finds it a useful lens for something he says is ’easily spottable’ by an ordinary consumer 00:02:18.

Alienation, or why the box didn’t match the photo

The most concrete mechanism Bain and Rapkin discuss is what Rapkin borrows from French theory as consumer ‘alienation’ — the gap between what a shopper felt they were buying from an image and what arrives physically 00:03:28. Bain points to the online joke about ordering something and getting the ‘Shein version’ of it as the popular shorthand for this experience, but stresses that Rapkin’s argument extends the phenomenon well beyond fast fashion and into luxury itself 00:04:15. That’s the provocative part of the claim: it isn’t just cheap goods disappointing people, it’s expensive ones.

Bain links this directly to the current unease in the luxury sector, where prices have climbed without a matching rise in perceived quality or design ambition, which he says has plausibly fed the broader luxury downturn and pushed some shoppers back toward physical retail to verify goods in person before buying 00:05:00. But when pressed by host Sheena Butler-Young on whether he actually buys a strong causal line from ‘digital-first consumption’ to ‘declining quality,’ Bain hedges considerably. He says he thinks the image-first mentality is ‘a part’ of the story but explicitly resists calling it the primary driver 00:12:49. He offers a countervailing, concrete example: he’s been hunting for boots built with a Goodyear welt, an old resoleable construction method that has become hard to find because manufacturers have shifted to gluing or cementing soles — a change he notes has nothing to do with social media, since sole construction isn’t something you can see in a product photo anyway 00:13:15. His point is that broader corporatization and cost-cutting in the industry predate and run parallel to the social-media era, so blaming screens alone overstates the case. He even cites Rapkin’s own admitted surprise at the rise of ‘quiet luxury’ — a trend built entirely on subtle details that don’t photograph well — as evidence the image-first theory doesn’t fully explain shifting consumer taste 00:14:02.

Is AI a villain, a tool, or possibly a lifeline for small brands?

When the conversation turns to AI, Bain reports that Rapkin’s own position is notably non-committal: technology itself is morally neutral, and the effect depends entirely on how it’s deployed 00:06:06. That’s a deliberately unresolved stance, and Bain doesn’t push back on it so much as unpack both directions it could cut. On the destructive side, he argues AI takes the alienation problem Rapkin describes and makes it categorically worse: where a product photo at least refers to something real, generative AI can produce fully convincing images of garments that were never made and never will be, severing the last thread between image and object 00:06:32.

On the constructive side, Bain offers a more personal and less theorized argument, drawing on his own past experience working for a small fashion label: AI tools that handle rote administrative work — his example is drafting routine purchase-order emails — could, in principle, free up scarce creative time for small designers who don’t have big teams 00:06:51. Host Butler-Young presses on this directly, asking whether AI is doing anything to make the actual art or design better, and Bain concedes that no, nothing in the conversation pointed to AI improving creative output itself — its best-case use so far is administrative offloading, not creative enhancement 00:07:25. That’s a meaningful concession: the optimistic case for AI in this conversation is entirely about efficiency, not craft.

The artist-hire trend: genuine shift or another bandwagon?

Diana Pearl’s reporting, drawn from colleague Haley Crawford’s story, documents a countertrend: brands like Hermès and Aveeno commissioning painters and illustrators rather than leaning on AI-generated or overly polished digital imagery 00:07:37. Pearl’s explanation is about signaling: as AI-perfect imagery becomes cheap and ubiquitous, that polish stops reading as aspirational and starts reading as suspect — she uses the word ‘slop’ to describe how audiences now perceive over-produced digital perfection 00:08:19. Human-made art, by contrast, becomes valuable precisely because it can’t be mass-generated, and she links this to a broader offline resurgence in analog hobbies like knitting, needlepoint and film photography as evidence people are actively seeking non-digital experience, not just reacting to fashion specifically 00:08:37.

But Pearl is careful to flag that this strategy can misfire, and Butler-Young pushes her on exactly this: what stops the artist-hire move from becoming its own hollow trend-chasing exercise, the same sin brands are supposedly correcting for 00:09:06? Pearl’s answer is that authenticity here is measured by continuity and relationship rather than the mere fact of hiring a human: she cites Hermès first commissioning an illustrator for store windows in Switzerland and only later expanding that same relationship to its website, as opposed to grabbing any artist opportunistically 00:10:15. She also contrasts campaigns that took backlash for visible AI use with Prada’s bird-themed campaign, which she says avoided similar criticism because its use of AI felt more distinctive and intentional rather than a shortcut 00:10:00. The unresolved tension she leaves standing is that the market can swing back toward tech just as fast as it swung toward analog — this has happened ‘for centuries,’ as she puts it — so there’s no guarantee the current preference for human-made craft is a permanent correction rather than another pendulum swing 00:09:35.

Measuring the payoff of going analog, and whether this is really an endpoint

A practical problem raised by Butler-Young is how brands justify pulling back from the highly quantifiable machinery of influencer marketing — follower counts, post volume, earned media value — in favor of phone-free dinners and hands-on in-store classes that generate comparatively little shareable content 00:14:54. Pearl’s answer reframes the metric question itself: she argues the industry is shifting away from valuing volume and reach toward valuing depth of relationship, meaning brands might work with far fewer influencers but build genuinely durable connections with them 00:15:14. She suggests success should be tracked through things like customer retention and long-term sales conversion tied to a relationship that started at one of these low-content events, rather than through EMV or impressions 00:15:48, though she’s candid that some of this value — the depth of a relationship — resists clean quantification altogether 00:16:13.

Neither Bain nor Pearl frames this as fashion abandoning the digital or image-first paradigm; both explicitly reject a clean either/or. Pearl connects the moment to Gen Z’s own ambivalence about the technology they grew up with, pointing to attention-limiting products like the Brick device as evidence of a generational reassessment of how much digital life is actually good for them 00:16:58, and draws an analogy to physical retail’s rebound after pandemic predictions that e-commerce would eclipse stores entirely 00:17:26. Bain’s closing view is more procedural than cultural: he expects an ongoing ’ebb and flow’ where new technology gets adopted heavily, provokes backlash, prompts adaptation, and the cycle repeats, with physical and digital experience continuing to coexist and jostle rather than one supplanting the other 00:18:05. The episode doesn’t resolve which force wins — it ends, deliberately, on the idea that this is an equilibrium being negotiated in real time rather than a problem being solved.

Summarised automatically. Listen to the original for the full conversation — this is not a substitute for it.