{"id":1691395,"date":"2026-09-09T10:00:21","date_gmt":"2026-09-09T14:00:21","guid":{"rendered":"https:\/\/observer.com\/?p=1691395"},"modified":"2026-09-09T11:08:54","modified_gmt":"2026-09-09T15:08:54","slug":"when-generative-ai-meets-high-fashion","status":"publish","type":"post","link":"https:\/\/observer.com\/2026\/09\/when-generative-ai-meets-high-fashion\/","title":{"rendered":"Can ChatGPT Wear Prada? When Generative A.I. Meets High Fashion"},"content":{"rendered":"<figure id=\"attachment_1691398\" aria-describedby=\"caption-attachment-1691398\" style=\"width: 970px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-1691398 size-full-width\" src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?quality=80&amp;w=970\" alt=\"A humanoid robot and a model present creations at Galaxy Corporation's &quot;Mach33: Physical AI Fashion Show&quot; in Seoul on May 28, 2026.\" width=\"970\" height=\"652\" srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg 7467w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=300,202 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=768,516 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=635,427 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=1536,1032 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=2048,1376 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=970,652 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=320,215 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=1920,1290 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?resize=50,34 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><figcaption id=\"caption-attachment-1691398\" class=\"wp-caption-text\">As the fashion intelligentsia gather in New York City, a question lurks behind the runway: can A.I. master the peculiar art of high fashion? <span class=\"media-credit\">Photo by Pedro PARDO \/ AFP via Getty Images<\/span><\/figcaption><\/figure>\n<p><span style=\"font-weight: 400\">As New York Fashion Week descends, editors, buyers and industry watchers flock to the Big Apple amid the usual assortment of excitement and intrigue. Which of the world\u2019s premier designers will impress as they unveil their latest lines and sartorial creations? It is a sign of the times that even this glamorous event is not immune from questions about artificial intelligence: What happens when the synthetic enters an industry steeped in taste and tradition? Can a machine trained on the accumulated imagery of human culture help designers imagine the strange, alluring and occasionally irrational artifacts that constitute high fashion? Or, to borrow from a certain Miranda Priestly, will the outputs of generative systems forever remain an uninspiring \u201cpile of stuff\u201d? The answer may surprise you.\u00a0<\/span><\/p>\n<h3><b>Traditional A.I. and fashion\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400\">For the past decade, artificial intelligence functioned as a silent partner in the fashion industry, operating largely behind-the-scenes in inventory management, price optimization and predictive analytics.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Until recently, it was inconceivable that A.I. would intrude on the creative process in an industry defined by the singular vision of its designers. Today, luxury brands are leveraging machine intelligence to amplify the very craftsmanship that distinguishes them from their peers. The role of generative A.I. in this process, and the extent to which it can meaningfully contribute to creativity in fashion, presents a complicated picture.\u00a0\u00a0<\/span><\/p>\n<h4><b>Generative A.I. in the design workflow<\/b><\/h4>\n<p><span style=\"font-weight: 400\">To understand where generative A.I. enters the creative process in fashion design, it is helpful to consider the basic journey through which an idea becomes a finished garment:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Archival and trend research:<\/b><span style=\"font-weight: 400\"> Designers traditionally spend weeks or months assembling references from fashion archives, museums, photography, art and previous collections to establish the visual language of a new collection.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Concept and silhouette exploration:<\/b><span style=\"font-weight: 400\"> Those references begin taking physical form through sketching, mood boards and experiments with proportion, shape and drape on dress forms.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Material and colorway prototyping:<\/b><span style=\"font-weight: 400\"> Promising concepts are explored through fabric swatches, custom dyeing, material combinations, sample cutting and variations in color and texture.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Technical design hand-off:<\/b><span style=\"font-weight: 400\"> Once a design has matured, its creative vision must be translated into technical flats, patterns, measurements and specifications that patternmakers and ateliers can turn into an actual garment.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Within this workflow, the term \u201cusing A.I.\u201d can describe dramatically different levels of creative agency. For example, a designer querying a public model for 20 imaginative jacket concepts is doing something quite different from a team that trains a proprietary system on an internal archive and then channels selected outputs into a development pipeline. For the purposes of this analysis, our interest lies in those areas where generative A.I. participates in the creative process itself; instances where the technology can augment, provoke and influence the imagination of the designer.\u00a0<\/span><\/p>\n<figure id=\"attachment_1691400\" aria-describedby=\"caption-attachment-1691400\" style=\"width: 970px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"lazyload wp-image-1691400 size-full-width\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" data-src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?quality=80&amp;w=970\" alt=\"A stylist points to a screen while working on an Imki denim collection generated by A.I.\" width=\"970\" height=\"647\" data-srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg 8256w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=300,200 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=768,512 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=635,423 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=1536,1024 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=2048,1365 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=970,647 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=320,213 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=1920,1280 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=50,33 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><noscript><img decoding=\"async\" class=\"lazyload wp-image-1691400 size-full-width\" src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?quality=80&amp;w=970\" alt=\"A stylist points to a screen while working on an Imki denim collection generated by A.I.\" width=\"970\" height=\"647\" srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg 8256w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=300,200 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=768,512 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=635,423 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=1536,1024 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=2048,1365 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=970,647 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=320,213 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=1920,1280 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2202178317.jpg?resize=50,33 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><\/noscript><figcaption id=\"caption-attachment-1691400\" class=\"wp-caption-text\">The fashion industry is beginning to discover what A.I. can do inside the design studio. <span class=\"media-credit\">Photo by SEBASTIEN BOZON\/AFP via Getty Images<\/span><\/figcaption><\/figure>\n<p><span style=\"font-weight: 400\">In this context, a dividing line emerges between where generative A.I. is most useful and where it\u2019s not. On one side lies the \u201cdivergent frontend\u201d of the workflow, where A.I. excels at surfacing references, proposing unexpected combinations and creating visual hypotheses. On the other side, designers leverage their experience in areas where large language models (LLMs) struggle: deciding which ideas are worthwhile, preserving the house\u2019s aesthetic identity and translating images into objects that can be patterned, sampled and produced.<\/span><\/p>\n<p><span style=\"font-weight: 400\">At the divergent frontend, generative A.I. can compress timelines from weeks to hours by allowing designers to <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/ifactoryapp.com\/industries\/textile-manufacturing\/ai-textile-design-generative-pattern-creation\" data-lasso-id=\"3024074\"><span style=\"font-weight: 400\">explore variations<\/span><\/a><span style=\"font-weight: 400\"> of shape, material and color in rapid succession. For example, a designer might use an LLM to articulate themes and produce atmospheres, objects, environments or speculative materials that would be laborious to source through search alone. In this way, a creative director can <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/www.stytrix.com\/blog\/generative-ai-fashion-design-guide\" data-lasso-id=\"3024075\"><span style=\"font-weight: 400\">quickly evaluate<\/span><\/a><span style=\"font-weight: 400\"> a wide array of visual directions before moving ahead with physical sampling.<\/span><\/p>\n<p><span style=\"font-weight: 400\">In addition, generative systems can envision impossible or unavailable materials\u2014metallic foams, transparent knits, liquid-looking leather\u2014before a studio knows whether they can be manufactured. Such computational creativity can be particularly valuable as fashion innovation often begins with visual contradictions that materials research must somehow make possible. A sprinkle of the impractical can, in other words, widen the creative aperture.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">The more intriguing question, however, is what happens when generative A.I. moves beyond visualization and enters the creative sanctum of fashion itself: the very act of design. <\/span><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<h3><b>Generative A.I. and fashion design\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400\">High fashion has always depended on divergence before convergence: the accumulation of sketches, materials and competing ideas before a coherent vision comes into focus. In this phase of the workflow, generative A.I. can be used as an engine for divergent thinking, producing an array of possibilities that would be impractical to render individually by hand. Here, the workflow can take on a curious inversion: early in the process, a designer will give the system some creative latitude, as vagueness can generate surprise, which can in turn spark creative insight. Once an idea has emotional and formal coherence, the designer can apply the opposite pressure: preserving a style or motif while instructing the system to produce incremental variations.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">What is notable in this context is the way generative A.I. can change the psychology of the design task. Whereas traditional sketching gives form to a designer\u2019s thought process one mark at a time, generative systems externalize numerous possibilities at once. Instead of asking \u201cCan I draw what I mean?\u201d a designer armed with A.I. tools might ask \u201cWhich of these outputs contains something I mean\u2014or something I didn\u2019t know I meant but want to use?\u201d The workflow can take on an iterative quality in which initial outputs become designs through repeated human selection, rejection and re-prompting.\u00a0<\/span><\/p>\n<figure id=\"attachment_1691402\" aria-describedby=\"caption-attachment-1691402\" style=\"width: 970px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"lazyload wp-image-1691402 size-full-width\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" data-src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?quality=80&amp;w=970\" alt=\"A model walks the runway during the Collina Strada Ready to Wear Spring\/Summer 2024 fashion show as part of the New York Fashion Week on September 08, 2023 in NY.\" width=\"970\" height=\"647\" data-srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg 4256w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=300,200 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=768,512 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=635,423 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=1536,1024 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=2048,1365 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=970,647 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=320,213 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=1920,1280 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=50,33 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><noscript><img decoding=\"async\" class=\"lazyload wp-image-1691402 size-full-width\" src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?quality=80&amp;w=970\" alt=\"A model walks the runway during the Collina Strada Ready to Wear Spring\/Summer 2024 fashion show as part of the New York Fashion Week on September 08, 2023 in NY.\" width=\"970\" height=\"647\" srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg 4256w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=300,200 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=768,512 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=635,423 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=1536,1024 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=2048,1365 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=970,647 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=320,213 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=1920,1280 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-1669882869.jpg?resize=50,33 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><\/noscript><figcaption id=\"caption-attachment-1691402\" class=\"wp-caption-text\">A model walks the runway during the Collina Strada Ready to Wear Spring\/Summer 2024 fashion show. <span class=\"media-credit\">Photo by Victor VIRGILE\/Gamma-Rapho via Getty Images<\/span><\/figcaption><\/figure>\n<p><span style=\"font-weight: 400\">A powerful example comes from <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/www.vogue.com\/fashion-shows\/spring-2024-ready-to-wear\/collina-strada\" data-lasso-id=\"3024076\"><span style=\"font-weight: 400\">Collina Strada\u2019s Spring 2024 collection<\/span><\/a><span style=\"font-weight: 400\">, where designer Hillary Taymour and her team fed the label\u2019s previous work into an A.I. system and spent seven weeks iterating on the results. The model produced exaggerated draping, asymmetries and unusual combinations that felt familiar yet strangely new. Most intriguing were the A.I.\u2019s mistakes: unsupported ruffles, imaginary draping techniques and other visual impossibilities that seemed physically implausible, compelling Taymour\u2019s team to determine how such forms might actually be constructed.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">In this example, artificial intelligence shifted the creative pressure upstream: it generated forms that might not have arisen through conventional sketching and then forced the atelier to devise the technical means to realize them. Such a dynamic can be a powerful model for high fashion as the \u201cerror\u201d itself becomes creative fodder, provided the team has enough expertise to distinguish the \u201cinspiringly impractical\u201d from meaningless noise.\u00a0<\/span><\/p>\n<h3><b>The limitations\u2014going from &#8220;bits to atoms&#8221;<\/b><\/h3>\n<p><span style=\"font-weight: 400\">For all its creative potential, A.I. encounters formidable limitations when the artifacts it generates collide with the physical and cultural realities of fashion\u2014when moving from \u201cbits to atoms,\u201d in the words of <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/www.moncler.com\/en-ca\/genius-collection-lulu-li\" data-lasso-id=\"3024077\"><span style=\"font-weight: 400\">artist and designer Lulu Li<\/span><\/a><span style=\"font-weight: 400\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">LLMs can imagine a surface; they cannot certify a textile. Systems like Midjourney and DALL\u00b7E will <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/www.nonameglobal.com\/post\/why-turning-ai-fashion-into-real-clothes-is-harder-than-you-think\" data-lasso-id=\"3024078\"><span style=\"font-weight: 400\">often invent<\/span><\/a><span style=\"font-weight: 400\"> closures that do not close, folds with no structural cause, impossible seam intersections and fabrics that behave inconsistently across the same image. And while an extraordinarily skilled team like Hillary Taymour\u2019s can translate A.I.\u2019s flights of fancy into workable designs, experimentation with generative tools can also be <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/fashioninsta.ai\/blog\/why-generative-ai-fails-fashion-pattern-making\" data-lasso-id=\"3024079\"><span style=\"font-weight: 400\">frustratingly counterproductive<\/span><\/a><span style=\"font-weight: 400\">.\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<figure id=\"attachment_1691401\" aria-describedby=\"caption-attachment-1691401\" style=\"width: 970px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"lazyload wp-image-1691401 size-full-width\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" data-src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?quality=80&amp;w=970\" alt=\"Fashion designer Hillary Taymour walks the runway during the Collina Strada Ready to Wear Spring\/Summer 2025 fashion show as part of the New York Fashion Week on September 6, 2024.\" width=\"970\" height=\"646\" data-srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg 4256w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=300,200 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=768,512 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=635,423 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=1536,1023 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=2048,1364 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=970,646 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=320,213 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=1920,1279 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=50,33 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><noscript><img decoding=\"async\" class=\"lazyload wp-image-1691401 size-full-width\" src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?quality=80&amp;w=970\" alt=\"Fashion designer Hillary Taymour walks the runway during the Collina Strada Ready to Wear Spring\/Summer 2025 fashion show as part of the New York Fashion Week on September 6, 2024.\" width=\"970\" height=\"646\" srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg 4256w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=300,200 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=768,512 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=635,423 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=1536,1023 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=2048,1364 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=970,646 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=320,213 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=1920,1279 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2170866008.jpg?resize=50,33 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><\/noscript><figcaption id=\"caption-attachment-1691401\" class=\"wp-caption-text\">Generative A.I. is changing how fashion designers like Hillary Taymour research, imagine and iterate, but its ability to generate possibilities does not eliminate the human judgment required to turn those possibilities into fashion. <span class=\"media-credit\">Photo by Victor VIRGILE\/Gamma-Rapho via Getty Images<\/span><\/figcaption><\/figure>\n<p><span style=\"font-weight: 400\">A second concern is authorship itself. If designers from different houses leverage the same foundational models, there is the risk of &#8220;<\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/criticalplayground.org\/parametric-vs-ai\/\" data-lasso-id=\"3024080\"><span style=\"font-weight: 400\">aesthetic convergence<\/span><\/a><span style=\"font-weight: 400\">,&#8221; with ostensibly distinctive brands sampling from the same underlying universe of patterns and imagery. The problem becomes thornier still in the realm of intellectual property: under current U.S. law, prompting an A.I. system alone <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/www.copyright.gov\/newsnet\/2025\/1060.html\" data-lasso-id=\"3024081\"><span style=\"font-weight: 400\">does not constitute human authorship<\/span><\/a><span style=\"font-weight: 400\">, leaving purely-A.I. designs without the copyright protection the fashion industry has traditionally relied on.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">And yet such practical concerns are secondary to perhaps the thorniest aspect of leveraging generative A.I. in high fashion: the peculiar psychology of luxury and its aura of rarity.\u00a0<\/span><\/p>\n<h3><b>The paradox of high fashion\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400\">In mass fashion, products are judged primarily on style, fit and price. Not so for luxury attire, where authorship and process are intrinsic to the product itself, and garments are seen as objects of cultural significance whose desirability depends on provenance, craft, scarcity, continuity and the perceived intent of the designer. A fine jacket, for example, is not simply a possession to showcase on lavish occasions; it carries the story of the label, the authority of a creative director, the labor of an atelier and, most crucially, the aura of rarity.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">In this context, generative A.I. entails a fascinating paradox: while the technology can increase the speed and volume of creative output, it can simultaneously undercut the perceived scarcity of creative labor on which luxury depends.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">To better understand this tension, I spoke with Alexis Lopez Angeles, a fashion designer for Balenciaga. Angeles, who made it clear he was speaking for himself and not his employer<\/span><span style=\"font-weight: 400\">, <\/span><span style=\"font-weight: 400\">studied fashion at Central Saint Martins in London before completing graduate work at the prestigious Institut Fran\u00e7ais de la Mode (IFM) in Paris.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cThere\u2019s a level of irrationality in high fashion, you know? People don\u2019t buy luxury clothing because they need it. For example, [one of the houses] was doing really big shoes. I own quite a few pairs and they\u2019re hard to walk in. They\u2019re not nice to walk in, they\u2019re not comfortable, but still, they look interesting so people put up with them.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400\">This irrationality, Angeles says, occasionally gives A.I. an almost surreptitious role when he leverages the technology in his design work: \u201cFor A.I., this is all a bit confusing\u2026it can give you the wrong placements, but that can sometimes be nice. I\u2019ve had a couple of combinations where I was like, \u2018Oh, this is not what I wanted, but this is interesting, I can build on this.\u2019\u201d\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Artificial Intelligence, he said, can occasionally trigger inspiration in the human designer precisely because its inability to grasp the puzzling sensibilities of consumers can generate surprise. His most penetrating comments, however, were reserved for the psychology of high fashion and the empathy that successful designers bring to the art form.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cThere is one creative director I really like, and when you look at his work you can tell he was relatively insecure about his body. So, he created these silhouettes that were about covering the body in different proportions. It worked because he knew this insecurity also existed in other people,\u201d he said.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cHigh fashion appeals to a deep level of the human psyche in a way that differs from a product like a phone. If you want to aspire to something creative, you need to understand this psyche and what makes humans tick. Until we have the capacity to bring some sort of subjectivity to A.I., I don\u2019t think we\u2019ll see true creativity [in high fashion].\u201d<\/span><\/p>\n<h3><b>LLMs can\u2019t \u201cjump\u201d<\/b><\/h3>\n<p><span style=\"font-weight: 400\">Angeles\u2019 observations about the creative limits of A.I. in luxury fashion align with those of prominent technologists. In his recent<\/span> <span style=\"font-weight: 400\">paper, <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/openreview.net\/forum?id=klU4737opt\" data-lasso-id=\"3024082\"><span style=\"font-weight: 400\">LLMs can\u2019t jump<\/span><\/a><span style=\"font-weight: 400\">, DeepMind researcher Tom Zahavy argued that large language models lack a crucial ingredient when it comes to creativity. Although such systems can master induction (finding patterns) and deduction (logical reasoning), they cannot perform the abductive \u201cjump\u201d required to invent entirely new works or theories.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Zahavy points to Einstein\u2019s Theory of Relativity, which was formulated long before experimental evidence existed, making it impossible to deduce from pattern recognition or logical inference. Rather, he argues, Einstein&#8217;s famous thought experiment\u2014imagining an observer falling freely and realizing the equivalence between gravity and acceleration\u2014was fundamentally an act of abduction. That is, history\u2019s most famous scientist<\/span> <span style=\"font-weight: 400\">mentally simulated a physical situation, experienced its consequences, and generated an entirely new axiom (the equivalence principle) that gave rise to his theory.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The next wave of innovation, Zahavy insists, will come not from increasingly large LLMs, but from interactive, physically grounded models that understand the world. This means closing the loop between sensory simulation and formal reasoning\u2014the missing link required for A.I. to perform Einstein&#8217;s abductive &#8220;jump.&#8221;<\/span><\/p>\n<p><span style=\"font-weight: 400\">The connection between the Theory of Relativity and the latest design from Balenciaga might seem tenuous. But when it comes to high fashion, generative A.I. would surely benefit from a similar \u201cjump\u201d in empathic intelligence and an understanding of the deep, subtle psychology individuals navigate when they wear luxury attire.\u00a0<\/span><\/p>\n<figure id=\"attachment_1691405\" aria-describedby=\"caption-attachment-1691405\" style=\"width: 970px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"lazyload wp-image-1691405 size-full-width\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" data-src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?quality=80&amp;w=970\" alt=\"Models pose in fashion from designer Samuel Gaertner's A.I.-inspired collection before the fashion show at the Museum of Communication Frankfurt on March 27, 2025.\" width=\"970\" height=\"647\" data-srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg 8256w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=300,200 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=768,512 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=635,423 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=1536,1024 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=2048,1365 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=970,647 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=320,213 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=1920,1280 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=50,33 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><noscript><img decoding=\"async\" class=\"lazyload wp-image-1691405 size-full-width\" src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?quality=80&amp;w=970\" alt=\"Models pose in fashion from designer Samuel Gaertner's A.I.-inspired collection before the fashion show at the Museum of Communication Frankfurt on March 27, 2025.\" width=\"970\" height=\"647\" srcset=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg 8256w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=300,200 300w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=768,512 768w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=635,423 635w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=1536,1024 1536w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=2048,1365 2048w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=970,647 970w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=320,213 320w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=1920,1280 1920w, https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2207317430.jpg?resize=50,33 50w\" sizes=\"(max-width: 768px) 135px, 200px\" \/><\/noscript><figcaption id=\"caption-attachment-1691405\" class=\"wp-caption-text\">A.I. can rapidly expand the creative possibilities available to designers, but high fashion remains grounded in the distinctly human work of editing, making and understanding desire. <span class=\"media-credit\">Photo by Thomas Lohnes\/Getty Images<\/span><\/figcaption><\/figure>\n<h3><b>The future\u2014<\/b><b><i>The Devil Wears Prada 3<\/i><\/b><\/h3>\n<p><span style=\"font-weight: 400\">That artificial intelligence has begun to transform high-fashion design is indisputable, yet its most pronounced effect may lie not in automating creativity but in expanding the design space itself. Generative systems can accelerate early ideation and produce divergent ideas that spark human creativity, but tapping into the needs of luxury consumers requires an empathy that, at present, appears beyond machines.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">To that end, the challenge ahead is no longer \u201cCan a machine draw a beautiful jacket?\u201d<\/span> <span style=\"font-weight: 400\">but rather <\/span><i><span style=\"font-weight: 400\">\u201c<\/span><\/i><span style=\"font-weight: 400\">Can it understand the creature who wants it?\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400\">Given the relentless progress of A.I., an assured prognostication on this question would be foolish (to wit, OpenAI\u2019s <\/span><a target=\"_blank\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/openai.com\/index\/ten-advances-in-mathematics\/\" data-lasso-id=\"3024083\"><span style=\"font-weight: 400\">dramatic announcement<\/span><\/a><span style=\"font-weight: 400\"> that one of its internal models had solved 10 significant problems in math and computer science, a feat that would have been unthinkable only two years prior). And yet one can imagine the following dialogue from <\/span><i><span style=\"font-weight: 400\">The Devil Wears Prada 3<\/span><\/i><span style=\"font-weight: 400\">, set in 2030:<\/span><\/p>\n<p>MIRANDA PRIESTLY (cold and supremely irritated):<\/p>\n<p><span style=\"font-weight: 400\">\u201cWhere are those sketches? I asked for them over an hour ago.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400\">A trepidatious voice emanates from her computer. It belongs to ChatGPT 10.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cI\u2019m sorry, Miranda. You requested a new theme only seven minutes ago, and I\u2013 \u201c<\/span><\/p>\n<p><span style=\"font-weight: 400\">MIRANDA (forcefully):<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cShow me them now.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400\">ChatGPT renders the entire line on the screen in the new creative direction.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">MIRANDA studies the new collection for three minutes and then whispers:<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cThat\u2019s all.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400\">Whether she purses her lips or smiles faintly just before remains to be seen\u2026<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The fashion industry is beginning to discover what A.I. can do inside the design studio. The more interesting question may be what remains beyond its reach. Sheldon Fernandez, A.I. executive, strategist and thought leader, explores both the possibilities and limitations of A.I. in high fashion.<\/p>\n <a class=\"moretag\" href=\"https:\/\/observer.com\/2026\/09\/when-generative-ai-meets-high-fashion\/\">Read More<\/a>","protected":false},"author":177935337,"featured_media":1691398,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"apple_news_api_created_at":"","apple_news_api_id":"","apple_news_api_modified_at":"","apple_news_api_revision":"","apple_news_api_share_url":"","apple_news_cover_media_provider":"image","apple_news_coverimage":0,"apple_news_coverimage_caption":"","apple_news_cover_video_id":0,"apple_news_cover_video_url":"","apple_news_cover_embedwebvideo_url":"","apple_news_is_hidden":"","apple_news_is_paid":"","apple_news_is_preview":"","apple_news_is_sponsored":"","apple_news_maturity_rating":"","apple_news_metadata":"\"\"","apple_news_pullquote":"","apple_news_pullquote_position":"","apple_news_slug":"","apple_news_sections":[],"apple_news_suppress_video_url":false,"apple_news_use_image_component":false,"_ef_editorial_meta_date_issue-date":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","_ef_editorial_meta__first-draft-date":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false},"post_tag":[423982473,423810236],"company":[423801970,423954278],"channel":[186,12374,102242,423868928,423875666,424015910],"location":[],"nyo_column":[423982261],"person":[424019446,423884512,424019447,424019448],"nyo_post_hidden":[],"coauthors":[424008913],"class_list":{"0":"post-1691395","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"tag-ai-experts","8":"tag-the-devil-wears-prada","9":"observer_company-balenciaga","10":"observer_company-openai","11":"channel-business","12":"channel-artificial-intelligence","13":"channel-fashion-week","14":"channel-fashion","15":"channel-technology","16":"channel-all-features","17":"nyo_column-expert-insights","18":"nyo_person-alexis-lopez-angeles","19":"nyo_person-albert-einstein","20":"nyo_person-tom-zahavy","21":"nyo_person-hillary-taymour","22":"style-expert-insights"},"acf":{"homepage_position":"","homepage_title":"","homepage_excerpt":"","alternative_og_image":"","headline":{"seo_headline":""},"subheadline":{"optimized_seo_description":"","optimized_social_excerpt":""}},"apple_news_notices":[],"parsely":{"version":"1.1.0","canonical_url":"https:\/\/observer.com\/2026\/09\/when-generative-ai-meets-high-fashion\/","smart_links":{"inbound":0,"outbound":0},"traffic_boost_suggestions_count":0,"meta":[],"rendered":"","tracker_url":"https:\/\/cdn.parsely.com\/keys\/observer.com\/p.js"},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?quality=80","coauthors_byline":"By Sheldon Fernandez","display_channel":"","thumbnail":"<img width=\"300\" height=\"225\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" data-src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?quality=80&amp;w=300&amp;h=225&amp;crop=1\" class=\"lazyload attachment-grid-thumbnail size-grid-thumbnail\" alt=\"A humanoid robot and a model present creations at Galaxy Corporation&#039;s &quot;Mach33: Physical AI Fashion Show&quot; in Seoul on May 28, 2026.\" decoding=\"async\" \/><noscript><img width=\"300\" height=\"225\" src=\"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?quality=80&amp;w=300&amp;h=225&amp;crop=1\" class=\"lazyload attachment-grid-thumbnail size-grid-thumbnail\" alt=\"A humanoid robot and a model present creations at Galaxy Corporation&#039;s &quot;Mach33: Physical AI Fashion Show&quot; in Seoul on May 28, 2026.\" decoding=\"async\" \/><\/noscript>","classes":["post-1691395","post","type-post","status-publish","format-standard","has-post-thumbnail","tag-ai-experts","tag-the-devil-wears-prada","observer_company-balenciaga","observer_company-openai","channel-business","channel-artificial-intelligence","channel-fashion-week","channel-fashion","channel-technology","channel-all-features","nyo_column-expert-insights","nyo_person-alexis-lopez-angeles","nyo_person-albert-einstein","nyo_person-tom-zahavy","nyo_person-hillary-taymour","style-expert-insights","entry-grid"],"parent_channels":"Business, Features","thumbnail_url":"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?quality=80&#038;w=300&#038;h=225&#038;crop=1","thumbnail_url_2x":"https:\/\/observer.com\/wp-content\/uploads\/sites\/2\/2026\/09\/GettyImages-2277907692.jpg?quality=80&#038;w=600&#038;h=450","excerpt_bare":"The fashion industry is beginning to discover what A.I. can do inside the design studio. The more interesting question may be what remains beyond its reach. Sheldon Fernandez, A.I. executive, strategist and thought leader, explores both the possibilities and limitations of A.I. in high fashion.","is_sponsored":false,"formatted_date":"Sep 9","read_time":"","jetpack_sharing_enabled":true,"amp_enabled":false,"_links":{"self":[{"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/posts\/1691395","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/users\/177935337"}],"replies":[{"embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/comments?post=1691395"}],"version-history":[{"count":7,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/posts\/1691395\/revisions"}],"predecessor-version":[{"id":1691506,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/posts\/1691395\/revisions\/1691506"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/media\/1691398"}],"wp:attachment":[{"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/media?parent=1691395"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/post_tag?post=1691395"},{"taxonomy":"observer_company","embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/company?post=1691395"},{"taxonomy":"channel","embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/channel?post=1691395"},{"taxonomy":"location","embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/location?post=1691395"},{"taxonomy":"nyo_column","embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/nyo_column?post=1691395"},{"taxonomy":"nyo_person","embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/person?post=1691395"},{"taxonomy":"nyo_post_hidden","embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/nyo_post_hidden?post=1691395"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/observer.com\/wp-json\/wp\/v2\/coauthors?post=1691395"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}