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Fashion’s Creative Clock Now Runs on AI | PYMNTS.com

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Fashion brands are facing faster trend cycles and rising pressure to design, produce and personalize at the speed of consumer demand. Artificial intelligence (AI) has moved to the center of that shift, powering everything from creative workflows to the digital experiences shoppers interact with.

At New York Fashion Week, designers showed how generative tools support early-stage creation. The Washington Post reported that labels feed silhouettes, fabrics and references into AI systems that return thousands of variations in minutes. Designers study proportion, drape and motion digitally instead of spending days on sketches and samples. The approach reduces waste and helps teams move quickly.

Retailers apply AI to shorten the path from trend to product. Walmart built a Trend to Product tool that analyzes social media, influencer activity and customer signals. These insights are turned into design briefs and prototypes in about six weeks instead of six months. AI generates mood boards, sample garments and style concepts. Designers refine the output and finalize the look before production. This gives Walmart a faster response cycle for mass-market fashion.

Technical progress has expanded these capabilities. AI models are now capable of simulating fabric behavior, texture and body movement with greater accuracy. These improvements make digital prototypes more reliable for design decisions. Teams test garments virtually, adjust details and confirm fit before creating samples.

Brands also use AI to replace traditional photo shoots. As reported by PYMNTS, companies deploy AI model generators from firms like Lalaland and Botika to produce full publicity shoots without cameras or crews. These systems create photorealistic images that brands update instantly.

The result is a design and production workflow that moves at a sharper pace, allowing brands to adjust to shifts in culture or customer demand.

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AI tools also now support material testing and sustainability efforts in footwear. WWD covered how brands using the technology simulate sole compression, upper durability and wear patterns before making prototypes. These simulations reduce waste and help teams select materials more accurately.

Fashion Marketing and Content Creation

Marketing teams rely on AI to create visuals at high speed. Zalando uses AI to generate campaign images, app visuals and product displays. Reuters reported that the company cut production time from a range of six to eight weeks to just three to four days. Image costs dropped by as much as 90%. Teams refresh visuals, test new aesthetics and localize content without scheduling shoots.

AI is also changing how brands manage content cycles. Teams update lookbooks, product detail page (PDP) images and social posts whenever attention shifts. They adjust lighting, styling and backgrounds in minutes. AI turns marketing into a real-time process rather than a seasonal one.

Personalized Shopping and Customer Experience

Luxury brands are using AI to personalize digital storefronts. Prada adapts its website layout and product recommendations using machine learning. Opefir Agency reported that Prada shows different products, categories and visuals to each shopper based on browsing activity and purchase history. The site updates in real time as users click through pages. Meanwhile, Dior uses AI for virtual try-ons and styling guidance. These systems help shoppers preview accessories and beauty items and refine suggestions as they browse. The approach reduces uncertainty around fit and appearance during online shopping.

Forbes reported that brands create digital models with varied poses, skin tones and body types. These models help companies display items consistently across product lines and regions. Teams maintain visual quality while reducing reliance on repeated photo shoots.

AI also supports clearer sizing decisions, a long-standing friction point in online fashion. Abira Chatterjee, who leads new business development at Amazon Fashion, said the sizing challenge remains one of the industry’s biggest barriers. “Fashion products have complex sizing details that can be difficult for customers to navigate,” she said at a recent roundtable as reported by the Business of Fashion. “Our insights show that when customers use AI-powered size recommendation tools, more than 90% of those surveyed are satisfied with the fit of their purchase. This technology is a game-changer for online fashion retail.”

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Speed Raises $8 Million to Expand Bitcoin and Stablecoin Payment Solutions | PYMNTS.com

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The company will use the new funding to build capacity, expand to new regions, develop more merchant tools, enable cross-border and creator payouts, and maintain reliability and compliance, it said in a Tuesday (Dec. 16) blog post.

Speed’s offerings include a global payment layer called Speed Merchant that is designed for merchants, platforms and payment systems and enables them to accept both Bitcoin and stablecoins, according to the post.

The company also offers a Lightning wallet called Speed Wallet that serves individuals and businesses and enables Bitcoin and stablecoin transfers, supports global payouts, offers local on- and off-ramps, and powers USDT transactions, the post said.

“We’ve always believed that Bitcoin and stablecoins can power everyday payments,” Speed CEO Niraj Patel said in the post. “That requires real infrastructure—fast, compliant and scalable. This investment validates that belief and accelerates our mission.”

Speed co-founder Jayneel Patel said in the post that the company aims to “solve real problems with technology.”

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“Speed started as a merchant solution and has grown into a global payment network,” Jayneel Patel said, adding the company is “ready to take the next leap.”

Stablecoin issuer Tether and venture fund ego death capital co-led the funding round, per the post.

Tether said in a Tuesday press release that its investment supports its strategy to support Bitcoin-aligned financial infrastructure and expand the utility of its USDT stablecoin in real-world payment environments.

“We support teams building practical infrastructure that reduces friction in payments and expands access to reliable settlement rails,” Tether CEO Paolo Ardoino said in the release.

Tether’s USDT stablecoin is the most traded cryptocurrency by volume around the world.

Adam Gebner, associate at ego death capital, said in a Tuesday blog post that Speed processed over $1.5 billion in payment volume over the past 12 months and serves more than 1.2 million users.

“By bridging Lightning and stablecoins in a single, compliant platform, Speed is positioning itself as foundational infrastructure for the Bitcoin and stablecoin economy, serving merchants, platforms and users across both developed and emerging markets,” Gebner said in the post.

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Databricks Targets $134 Billion Valuation in New Funding Round | PYMNTS.com

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Data analytics/artificial intelligence (AI) firm Databricks is reportedly raising $4 billion in a new funding round.

This Series L round would value the company at $134 billion, up 34% from its last session of funding during the summer, the Wall Street Journal (WSJ) reported Tuesday (Dec. 16).

Ali Ghodsi, Databricks’ co-founder and CEO, told the WSJ the company plans to use the new funding to invest in its core data-analytics products and AI software, while also letting its workers engage in secondary share sales.

The company, among the most valuable private firms in Silicon Valley, also plans to hire around 600 fresh college graduates in 2026, the CEO added, in addition to adding thousands of new jobs worldwide in Asia, Latin America and Europe. It also plans to hire AI researchers, who are typically paid top salaries, the WSJ added.

The report noted that Databricks has benefited from the AI boom, which relies partially on private corporate data to customize AI models. Databricks told the WSJ that its data-warehousing product, which can serve as an underlying data platform for AI services, surpassed a $1 billion revenue run rate at the end of October.

This year has seen Databricks ink deals with OpenAI and Anthropic to help sell AI services to business customers. Each of these partnerships are designed to push clients to develop AI agents, or independent bots that can carry out tasks on behalf of humans.

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The company’s new funding round comes three months after Databricks’ Series K round, which valued it more than $100 billion, up from $62 billion at the start of the year.

In other AI news, PYMNTS wrote earlier this week about The General Intelligence Company of New York, a start up developing agent-based systems designed to take over large portions of company operations.

“The company’s name deliberately evokes Gilded Age ambition, and founder Andrew Pignanelli told PYMNTS that the reference was intentional,” that report said. “He said he views AI as foundational infrastructure for the next era of company-building, much as railroads and industrial capital reshaped the United States economy more than a century ago.”

The company started by working backward from “the one-person billion-dollar business,” as Pignanelli termed it.

“We started at the end, the actual one-person billion-dollar company, and worked our way back and we were like, ‘What can we do today?’” he said.

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Apple App Store Fees Face Pressure From EU Developers | PYMNTS.com

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A collection of app developers and consumer groups want Europe to enforce laws against Apple.

The Coalition of App Fairness (CAF) on Monday (Dec. 15) issued an open letter to the European Commission (EC) accusing the tech giant of “persistent” non-compliance with Europe’s Digital Markets Act (DMA).

The letter follows findings from the EC that Apple had violated the DMA by keeping developers from directing users to alternative payment methods, fining the tech giant $588 million.

Apple in turn revised its terms for its app store to impose fees that ranged from from 13% for smaller businesses to up to 20% for App Store purchases. However, the CAF says Apple has not addressed what it calls a core issue: the company’s fees are preventing fair competition.

“The law says that gatekeepers like Apple must allow developers to offer and conduct transactions outside of the App Store free of charge,” the letter said. “However, Apple is now charging developers commission, fees of up to 20% for such transactions. This is a blatant disregard for the law with the potential to vanquish years of meaningful work by the Commission.”

The CAF also notes that Apple plans to introduce new terms and conditions for the App Store next month, and says it suspects the new terms will include fees that violate the DMA.

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“Apple cannot be permitted to exploit its gatekeeper position by holding the entire industry hostage,” the letter added.

PYMNTS has contacted Apple for comment but has not yet gotten a reply. The company had in September called on the commission to rethink the DMA, which was created to prevent market abuse by tech giants doing business in Europe.

“Over that time, it’s become clear that the DMA is leading to a worse experience for Apple users in the EU,” Apple wrote in a blog post. “It’s exposing them to new risks, and disrupting the simple, seamless way their Apple products work together. And as new technologies come out, our European users’ Apple products will only fall further behind.”

In its blog post, Apple argued the DMA requirements for allowing other app marketplaces and alternative payment systems don’t take into account the privacy and security standards of the App Store, putting customers at risk for being overcharged or scammed.

“The DMA also lets other companies request access to user data and core technologies of Apple products,” the company wrote. “Apple is required to meet almost every request, even if they create serious risks for our users.”

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