{"id":3704061,"date":"2026-05-04T13:39:28","date_gmt":"2026-05-04T17:39:28","guid":{"rendered":"https:\/\/www.pymnts.com\/?p=3704061"},"modified":"2026-05-04T13:39:28","modified_gmt":"2026-05-04T17:39:28","slug":"ai-brings-met-gala-styling-power-to-every-closet","status":"publish","type":"post","link":"https:\/\/www.pymnts.com\/artificial-intelligence-2\/2026\/ai-brings-met-gala-styling-power-to-every-closet\/","title":{"rendered":"AI Brings Met Gala Styling Power to Every Closet\u00a0"},"content":{"rendered":"<p>Every year on the first Monday of May, the most photographed steps in fashion belong to the Met Gala. The looks that climb them take months to build. Human stylists decide what gets worn, how it fits the theme and what story it tells. For everyone else, that role has always gone unfilled. Artificial intelligence (AI) is changing that.<\/p><div\r\n\tid=\"article-paywall-overlay\"\r\n\tclass=\"d-none\"\r\n>\r\n\t<div id=\"article-paywall-content\" class=\"my-4\">\r\n\t\t\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f2699550-o1\" lang=\"en-US\" dir=\"ltr\" data-wpcf7-id=\"2699550\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/wp-json\/wp\/v2\/posts\/3704061#wpcf7-f2699550-o1\" method=\"post\" class=\"wpcf7-form init pymnts-article-paywall-form\" aria-label=\"Contact form\" novalidate=\"novalidate\" data-status=\"init\">\n<fieldset class=\"hidden-fields-container\"><input type=\"hidden\" name=\"_wpcf7\" value=\"2699550\" \/><input type=\"hidden\" name=\"_wpcf7_version\" value=\"6.1.5\" \/><input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/><input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f2699550-o1\" \/><input type=\"hidden\" name=\"_wpcf7_container_post\" 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you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our <a class=\"fw-bold\" href=\"https:\/\/pymnts-com-develop.go-vip.net\/privacy-policy\/\">Privacy Policy<\/a> and <a class=\"fw-bold\" href=\"https:\/\/pymnts-com-develop.go-vip.net\/terms-conditions\/\">Terms and Conditions<\/a>.\n\t\t\t\t<\/p>\n\t\t\t\t<p><input id='hiddenPath' type='hidden' name='path' value='' \/><input type='hidden' name='userDeviceId' id='userDeviceId' \/><input type='hidden' name='pageTitle' id='pageTitle' \/>\n\t\t\t\t<\/p>\n\t\t\t<\/div>\n\t\t\t<div class=\"col-12\">\n\t\t\t\t<div id='formButtonRow' class='container mt-1 px-0'>\n\t\t\t\t\t<p><input class=\"wpcf7-form-control wpcf7-submit has-spinner btn btn-dark text-uppercase py-2 px-5 small\" id=\"theSubmitButton\" type=\"submit\" value=\"Submit\" \/>\n\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div><input type=\"hidden\" name=\"post_id\" value=\"3704061\" \/><input type=\"hidden\" name=\"source\" value=\"https:\/\/www.pymnts.com\/artificial-intelligence-2\/2026\/ai-brings-met-gala-styling-power-to-every-closet\/\" \/><p style=\"display: none !important;\" class=\"akismet-fields-container\" data-prefix=\"_wpcf7_ak_\"><label>&#916;<textarea name=\"_wpcf7_ak_hp_textarea\" cols=\"45\" rows=\"8\" maxlength=\"100\"><\/textarea><\/label><input type=\"hidden\" id=\"ak_js_1\" name=\"_wpcf7_ak_js\" value=\"89\"\/><script>document.getElementById( \"ak_js_1\" ).setAttribute( \"value\", ( new Date() ).getTime() );<\/script><\/p><div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<\/form>\n<\/div>\n\r\n\t<\/div>\r\n<\/div>\r\n<div id=\"article-paywall-hidden-content\">\r\n\t\n<h2><strong>AI Moves Upstream<\/strong><\/h2>\n<p>Predicting what matters in fashion was once the exclusive province of runway editors and professional forecasters. That\u2019s changing. Paris-based <a href=\"https:\/\/heuritech.com\/\">Heuritech<\/a>, which counts Prada, Skims and New Balance among its clients, trains AI on runway data, social media and trend signals to identify what will appear on mainstream racks months before consumers see it, according to <a href=\"https:\/\/www.npr.org\/2025\/10\/04\/nx-s1-5561128\/paris-fashion-week-ai-predict-trends\">NPR<\/a>.<\/p>\n<p>The company\u2019s algorithms correctly predicted dotted prints, the flat-thong sandal and the color yellow as emerging trends for 2026, all of which showed up on Paris Fashion Week runways.<\/p>\n<p>\u201cWe have a massive scale of data that allows our AI to detect early signals of trends, sometimes months before they become visible on the mainstream market,\u201d <a href=\"https:\/\/www.linkedin.com\/in\/no%C3%A9mie-voyer-0040ba80\/\">No\u00e9mie Voyer<\/a>, Heuritech\u2019s fashion expertise lead, told NPR.<\/p>\n<p><a href=\"https:\/\/www.stitchfix.com\/\">Stitch Fix<\/a> Vice President of Buying <a href=\"https:\/\/www.linkedin.com\/in\/amymkohler\/\">Amy Sullivan<\/a> told NPR that AI recently resolved a merchandising call in hours that previously would have taken weeks. Her team needed to choose between a red and a blue stripe shirt for next spring.<\/p>\n<p>\u201cIn the past, you either make a spot decision without really looking at it or you\u2019re requesting samples from vendors overseas that could take weeks and cost a lot of money,\u201d Sullivan said. They put it into AI, got a full on-body image of both options and went with the blue.<\/p><div id=\"pymnt-3481811647\" class=\"pymnt-content pymnt-entity-placement\" style=\"margin-top: 50px;\"><p style=\"text-align:center\">Advertisement: Scroll to Continue<\/p><script async type=\"text\/javascript\" id=\"dianomi_context_script\" src=\"https:\/\/www.dianomi.com\/js\/contextfeed.js\"><\/script> \r\n<div class=\"dianomi_context\" data-dianomi-context-id=\"4329\"><\/div><\/div>\n<p>Voyer and other forecasters are consistent on one point: the AI handles signal processing, not final judgment. \u201cWhile our AI is extremely sophisticated, the human aspect still counts,\u201d Voyer said.<\/p>\n<h2>From Scroll to Stylist<\/h2>\n<p>Stitch Fix generates roughly 43 million outfit combinations daily using its proprietary AI model, according to the company\u2019s <a href=\"https:\/\/newsroom.stitchfix.com\/blog\/how-were-revolutionizing-personal-styling-with-generative-ai\/\">newsroom<\/a>. That shortlist goes to one of its 1,700 human stylists, who make the final selection for each customer\u2019s curated box.<\/p>\n<p>In October, Stitch Fix <a href=\"https:\/\/www.pymnts.com\/artificial-intelligence-2\/2025\/stitch-fix-offers-customers-ai-powered-vision-of-outfits\/\" target=\"_blank\" rel=\"noopener\">launched<\/a> Vision, a generative AI tool that lets clients upload a selfie and a full-length photo and then delivers weekly drops of personalized, shoppable outfit images styled to their body and taste. The images place clients in real-world settings like city streets, holiday parties and tailgate scenes rather than blank studio backgrounds.<\/p>\n<p>\u201cWe believe the role of human stylists will stay critical,\u201d Chief Product and Technology Officer <a href=\"https:\/\/www.linkedin.com\/in\/tony-bacos\/\">Tony Bacos<\/a> told <a href=\"https:\/\/www.techtarget.com\/searchCustomerExperience\/news\/366639944\/Stitch-Fixs-AI-brand-agent-with-human-help-nails-the-look\">TechTarget<\/a>. \u201cHumans aren\u2019t just looking in the rear-view mirror, trying to keep the same thing going.\u201d<\/p>\n<h2>The Closet You Already Own<\/h2>\n<p><a href=\"https:\/\/www.altadaily.com\/\">Alta Daily<\/a>, a fashion app launched in 2025, is solving a different version of the same problem. Most people wear only an estimated 20% of the clothes in their closet, <a href=\"https:\/\/ai.meta.com\/blog\/alta-daily-fashion-app-segment-anything\/\">Meta AI reported<\/a>. Alta Daily\u2019s approach is to digitize the other 80%. Users photograph their entire wardrobe and the app uses natural language prompts to pull from that catalog, recommending outfits for any occasion and showing them on a personal avatar.<\/p>\n<p>The underlying technology is Meta\u2019s Segment Anything Model (SAM), which the Alta team uses to clean and isolate every uploaded garment image. Fashion presents one of the most demanding image datasets. A white sneaker against a white wall or a blue sweater on a wrinkled blue blanket in poor indoor lighting, are conditions that trip up lesser models.<\/p>\n<p>By April, Alta had processed more than 20 million images using SAM without the cost burden of external segmentation APIs, which Alta Founder <a href=\"https:\/\/www.linkedin.com\/in\/jwang15\/\">Jenny Wang<\/a> described as prohibitive for an early-stage business. The app tracks daily outfits worn. It has a user base across the United States, France, Germany, Mexico and the Netherlands. It starts from what the shopper already has, then layers in occasion context, trend signals and visual confirmation through the avatar.<\/p>\n<p>By 2030, agentic commerce, meaning AI systems that shop on a consumer\u2019s behalf, could account for <a href=\"https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-agentic-commerce-opportunity-how-ai-agents-are-ushering-in-a-new-era-for-consumers-and-merchants\">up to $1 trillion<\/a> in U.S. B2C retail revenue, according to McKinsey.<\/p>\n<p>The styling layer sits at the front of that stack. It decides what a shopper sees, considers and ultimately buys. At the Met Gala, that decision belongs to a person with a point of view and a relationship with the client. In the rest of retail, AI is learning to do the same job.<\/p>\n<p><em>For all PYMNTS AI and digital transformation coverage, subscribe to the daily\u00a0<\/em><a href=\"https:\/\/pymnts.com\/subscribe\/\"><em>AI and Digital Transformation Newsletters<\/em><\/a><em>.<\/em><\/p>\n\r\n<\/div>\r\n<script>\r\n\twindow.pymntsAllowedArticleCount = 1;\r\n\twindow.pymntsPostID = 3704061;\r\n<\/script>","protected":false},"excerpt":{"rendered":"<p>Every year on the first Monday of May, the most photographed steps in fashion belong to the Met Gala. The looks that climb them take months to build. Human stylists decide what gets worn, how it fits the theme and what story it tells. For everyone else, that role has always gone unfilled. Artificial intelligence [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3704375,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","pymnts_footnotes":""},"categories":[65579],"tags":[9498,19817,5569,78366,9206,133069],"class_list":["post-3704061","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-2","tag-ai","tag-digital-transformation","tag-fashion","tag-met-gala","tag-news","tag-pymnts-news"],"acf":{"suggested_titles":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.2 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI Brings Met Gala Styling Power to Every Closet\u00a0<\/title>\n<meta name=\"description\" content=\"At the Met Gala, human stylists control everything from concept to final look. 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