Futuresports-002 by Fabric Not Found, demonstrating how AI-assisted fashion systems can generate more compositionally ambitious garments while increasing the role of skilled human interpretation, fabrication, and localized instantiation.
www.fabricnotfound.com
There is also something deeply selective about the way the fashion industry suddenly invokes “humanity” whenever AI enters the conversation, as though industrial fashion had previously operated as some great sanctuary of human-centred production rather than a system heavily dependent upon outsourced labour, compressed manufacturing timelines, exhausted creative pipelines, overproduction, and enormous quantities of underdesigned garments whose primary distinction often comes not from innovation in silhouette, materiality, or construction, but from branding, celebrity association, or advertising mythology.
In sportswear especially, one can already see the strange contradiction emerging, because AI-generated design systems are beginning to expose just how little formal experimentation many mass-market garments actually contain beneath the surface of their campaigns, where relatively standard leggings, hoodies, compression tops, or track pants are repeatedly recirculated through slight aesthetic updates, amplified through elite athlete endorsement and sophisticated image production until branding itself begins carrying more conceptual weight than the garment.
And this raises an uncomfortable but necessary question: when the industry speaks nostalgically about preserving “the human” in fashion, which human exactly is being defended?
The charismatic athlete in the campaign imagery?
The consumer’s emotional attachment to the brand?
Or the invisible labour conditions that have historically enabled vast quantities of low-cost global production?
Because exploitative labour systems are not inherently more human simply because humans remain physically present inside them.
Likewise, repetitive design systems that endlessly reproduce underdeveloped basics at industrial scale are not necessarily more culturally alive than AI-assisted systems capable of generating genuinely new compositional relationships, proportional experiments, or materially intriguing garment concepts.
In fact, what becomes interesting about AI-assisted fashion processes in the hands of designers with strong aesthetic intent is that they may actually increase the ambition of the garment itself.
A sportswear silhouette, for example, can suddenly begin operating through exaggerated volume distribution, kinetic pleating, dynamic proportional imbalance, engineered movement lines, or entirely new relationships between compression and expansion, producing garments that feel visually alive again rather than merely optimized for market familiarity.
Importantly, many of these garments remain manufacturable, but they demand higher levels of technical interpretation, fabrication expertise, and material sensitivity than standard industrial basics, meaning that AI does not necessarily lower the threshold of skill but may instead create renewed demand for advanced forms of patternmaking, draping, construction knowledge, and localized maker interpretation.
The result is a very different understanding of “humanness” in fashion.
Not humans reduced to repetitive labour within a centralized replication machine, but humans participating through interpretation, adaptation, material judgment, fitting, stewardship, and localized realization.
Not branding replacing design, but design once again becoming capable of carrying conceptual and emotional intensity on its own terms.
One of the laziest assumptions surrounding AI-generated fashion imagery and AI-assisted design systems is the idea that they necessarily reduce the role of the human, as though the arrival of synthetic image generation automatically leads to the disappearance of craft, interpretation, intimacy, labour, or authorship, when in reality what AI actually does depends entirely upon the structure into which it is inserted, because there is an enormous difference between using AI to accelerate industrial sameness and using AI to redistribute design participation across a larger network of human actors, material conditions, and localized interpretations.
FORME emerged partly from observing this contradiction, because despite the rhetoric surrounding craftsmanship within industrial fashion, much of contemporary production had already become radically anti-human long before AI arrived, with garments standardized across vast manufacturing pipelines in which thousands of identical units were produced through compressed timelines, anonymous labour systems, centralized inventory forecasting, and increasingly rigid economic requirements that demanded scale before experimentation, meaning that the wearer often entered the process only at the very end, selecting from a pre-fixed object whose material, sizing, fabrication, and distribution logic had already been decided somewhere far away from the body that would eventually inhabit it.
What interested me was the possibility that AI might actually allow the opposite structure to emerge, not because the machine itself is inherently humane, but because the dematerialization of the design signal changes the economics surrounding how garments can exist, travel, and be activated in the first place.
Once a garment no longer requires mass replication in order to justify its existence economically, entirely different forms of participation become possible.
The design signal can move digitally while the material instantiation remains local, interpretive, adaptive, and socially embedded, meaning that instead of collapsing human involvement, the system potentially expands the number of meaningful human touchpoints surrounding the garment itself, because now a steward selects the work, a maker interprets it through their own technical and material knowledge, a body reshapes the proportions and tensions of the piece, local fabrics alter its final behaviour, fittings introduce negotiation and adjustment, regional manufacturing conditions influence construction choices, and provenance systems record the object’s trajectory as something living rather than infinitely repeated.
In this model, AI does not eliminate the human from fashion but instead allows human intelligence to re-enter parts of the process that industrial fashion had progressively stripped away in pursuit of efficiency and inventory scale, because what disappears is not human participation but the requirement for centralized replication.
This is why intent matters so profoundly.
Without strong authorship, governance, or stewardship structures, AI systems tend toward flattening, averaging, and recursive repetition, endlessly recombining existing aesthetic signals into increasingly frictionless content streams, but when AI is embedded within a framework that preserves authored intent while distributing material realization outward into localized acts of interpretation, the result is not sameness but controlled variation, not infinite copies but situated instantiations, not mass production but negotiated realization.
The irony, then, is that AI-assisted fashion systems such as FORME may ultimately produce garments that are more human than those generated through traditional industrial pipelines, precisely because the garment once again becomes a site of interaction between people rather than merely the endpoint of a manufacturing sequence, and because the object carries within it traces of multiple forms of human decision-making, adaptation, negotiation, and material responsiveness that industrial standardization had increasingly attempted to suppress.
What emerges is not the disappearance of craft but its redistribution.
Not the removal of authorship but its stabilization.
Not the end of human fashion but the expansion of the number of humans who meaningfully participate in bringing a garment into existence.
A note on the AI Avatar:
The synthetic figure itself is not the endpoint of the process, nor is it imagined as a replacement for human social life, because garments do not meaningfully enter culture through images alone. They enter culture through interpretation, adaptation, embodiment, fabrication, conversation, and lived interaction. The AI-generated figure functions instead as a speculative carrier for the garment signal, allowing new formal and proportional possibilities to emerge before they are redistributed back into human systems of making, wearing, and material negotiation.
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