“Fashion doesn’t fear the new. It fears the unaware.”
— backstage note from an Italian Maison, February 2025
In ten months, the word “AI” has moved from talk shows to fashion house boardrooms. But the real shock doesn’t come from viral prompts: it comes from Brussels, with a regulation that transforms every brand into a deployer of artificial intelligence systems, responsible for what it shows but also for what it trains, threatening sanctions up to 7% of global revenue for those who transgress. The EU AI Act isn’t just another compliance checklist: it’s the new yardstick consumers will use to measure brand sincerity. In a survey [Vogue Business 2024], 64% of luxury shoppers declare themselves “enthusiastic” about AI-guided experiences, but demand radical transparency on how and why data is used; the “AI responsibly used” badge increases purchase intention.
Luxury, the historic arbiter of authenticity, must now prove it in algorithms too.
The fashion and luxury sector is undergoing a profound transformation driven by artificial intelligence. From a privileged position as Growth Director at Limitless Innovation, I’m witnessing this evolution by accompanying iconic brands in their AI integration journey. What emerges clearly is a paradigm shift: AI is no longer simply a technological tool, but a strategic element that redefines decision-making processes in a sector historically dominated by intuition and human creativity.
In this article, I share observations gained in the field, focusing on four crucial areas where AI is having the most significant impact: governance and compliance, product development, communication, and customer experience.
Compliance with the EU AI Act: From Regulatory Stamp to Author’s Signature
“If you can’t explain your dress, don’t wear it.” The maxim of an old couturier proves useful under the new European regulation. The entry into force of the EU AI Act has catalyzed a profound rethinking of the approach to artificial intelligence in the sector. What was initially perceived as a mere regulatory compliance exercise is rapidly evolving into strategic reflection.
“Compared to pharma or tech, we arrived late” — admits a CEO quoted by [Sole 24 Ore 2024]. The reason is cultural: many designers use AI as inspiration in creative processes, with some reluctance to openly declare its use, perhaps for fear of reputational impact.
This situation has generated a lack of transparency that risks extending to relationships with consumers. “Article 50 of the AI Act, which imposes transparency obligations for artificial intelligence tools designed to interact with people, is particularly relevant for the fashion and luxury sector.”
In our work with the most prestigious brands, we’re supporting a radically different approach: transforming the compliance obligation into a strategic opportunity, into trust currency. The most forward-thinking brands are implementing extensive training programs involving the entire company population, not just technical teams. This cross-cutting vision of AI literacy creates what a CMO defined as “AI as a new corporate lingua franca.”
A famous Italian luxury brand we collaborate with recently launched an AI literacy program involving over 1,000 employees, from creative divisions to retail. This inclusive approach generated not only greater risk awareness, but also a wave of internal innovation, with AI application proposals coming from departments traditionally distant from technology.
The most astute maisons have seized the opportunity to reverse the paradigm, transforming the “AI-curated” badge into a new luxury seal. Benetton, for example, accompanies personalized capsules with the claim powered by Recommendations AI and records average shopping carts 7% higher.
The message is linear: if I know my algorithm, I also know you, the customer, better.
AI Governance: When the Committee Becomes the Light Framework Supporting the Future
A recent Vogue Business survey shows that 73% of fashion executives consider generative AI a priority for 2025, but only 28% have implemented an ethical framework for its use.
The second turning point therefore doesn’t happen on the catwalk but in a hybrid room where graphic designers, legal experts, creatives, and brand guardians sit at the same table. Alongside training programs, we’re witnessing the birth of internal AI governance committees.
At Limitless Innovation, we’re promoting an approach we define as Minimum Viable Governance (MVG) — a lean architecture that promises to protect the brand without stifling flair. The concept, borrowed from lean thinking, is simple: “not too much, not too little, but just enough to safeguard the organization and let innovation run” — a framework that balances agility and control, allowing companies to exploit AI advantages while maintaining adequate supervision.
The first thread of MVG is exhaustive model mapping: knowing which algorithms produce patterns, recommendations, or visuals, on what data they were trained, and with what licenses. Without inventory, the maison navigates by sight in a regulatory sea that changes direction with every wave. Not all AI applications present the same risks. Granular classification and calibrated risk assessment allows allocating governance resources where they’re truly needed. The second thread consists of light but recurring controls — monthly checks on bias and scores, maintaining traceability of key decisions, rather than annual audits that arrive when reputational damage is already done. The third is transparent reporting: not piles of PDFs, but dashboards showing in real-time where and how AI affects the creative cycle.
To give body to the framework requires a cross-functional board: merchandising, supply-chain, HR, up to the chief brand officer. Harvard Business Review literature reminds us that delegating governance to a single department, usually legal, is the most frequent and most costly mistake. Better an agile pit-crew with veto power over high-risk models, but also with the responsibility to keep experimentation alive.
In summary, MVG works like a well-tailored suit: it follows the brand-body lines, leaves room for creative movements, but prevents sudden tears. Those who wear it in time will be ready to welcome, and not suffer, AI’s next mutations along the entire value chain.
AI in Product Development: A New Creative Alliance
One area where AI is having the most disruptive impact is product development, the beating heart of the fashion industry. Here we’re not simply talking about automation, but a profound redefinition of the relationship between designer and technology.
AI solutions for pattern generation are emerging as powerful creative accelerators, capable not only of speeding up processes but also expanding exploratory possibilities. A creative director we collaborate with recently observed: “AI doesn’t replace our vision, but takes us to territories we wouldn’t have navigated autonomously.”
Particularly interesting is how generative AI is “eroding the scene” from 3D technologies in concept representation. “Sketch to image” tools drastically compress the time between ideation and visualization, enabling creative iterations that would previously require days. This shift isn’t without implications: 3D requires specific technical skills, while generative AI is accessible to a much broader number of creators, democratizing the process.
However, this democratization raises complex questions: dialogue or substitution of 3D? Generative tools reduce concept time, but don’t eliminate the need for volumetric rendering for fitting and production. Some brands merge the two worlds: AI patterns for chromatic suggestion, 3D simulation for avatar testing, with fluid data passage between engines.
But every acceleration involves a new set of strategic choices. First choice: who owns the generated idea? US legislation, for now, denies copyright to works lacking “sufficient human authorship,” leaving patterns created almost entirely by algorithms in a gray area. The most forward-thinking maisons are therefore introducing the figure of the prompt curator: a designer-custodian whose creative contribution, recorded in system logs, ensures a sufficient human quota to secure intellectual property.
Second choice: how much archive material to feed into the model? Collina Strada fed its network with past collections, obtaining surprising prints but running into social backlash when it concealed the process during collaboration with Baggu [BoF 2023]. Lesson learned: a curation policy is needed that establishes which references are shareable, which should be anonymized, and which remain forbidden to avoid self-cannibalizing heritage; transparency becomes an essential element.
Digital Content Factory: The New Balance Between Efficiency and Authenticity
The Digital Content Factory probably represents the area where AI’s impact is most immediately measurable. Content production for e-commerce, social media, and communication has been transformed by tools that allow generating, modifying, and optimizing visual assets at previously unthinkable speeds and costs.
Particularly significant is AI application in creating personalized images for nationalities and sizes, an innovation responding to growing demand for inclusivity and cultural relevance. A luxury brand group recently reduced e-commerce campaign production costs by 62% while simultaneously increasing conversion rates by 31%, thanks to an AI system capable of intelligently adapting visual communication to different markets.
This approach is transforming the traditional paradigm: from creating a limited number of “perfect” assets, we move to generating an ecosystem of variants optimized for each touchpoint and audience segment. The challenge becomes finding the right balance between efficiency and authenticity.
As a recent report highlights, “the real challenge for brands is making AI-generated application output as ‘human’ as possible, since efficiency alone isn’t sufficient: it’s emotional interaction that creates authentic connection with customers.” This observation is particularly relevant for the luxury sector, where emotion and storytelling are fundamental elements of brand experience. Valentino showed the potential when it photographed the entire Essential line with generated images, transforming the campaign into a narrative of co-evolution between human and algorithm.
Another virtuous example comes from Gucci, which introduced “virtual stylists” for real-time consultations, personalizing campaigns through social interaction analysis and local trends. These systems don’t replace the human element, but enhance it, creating a hybrid experience that maintains authenticity while enriching it with AI-enabled personalization.
AI and SUSTAINABILITY: “When Less Becomes More” – An Unexpected and Respectful Alliance
Luxury has always preached less but better; AI now provides numerical grammar — a less discussed but extremely promising aspect. Artificial intelligence is revolutionizing the sustainable fashion sector, reducing waste and overproduction through resource optimization, material traceability, and innovative solutions.
Stella McCartney represents an emblematic case of this approach, pioneering AI application to innovate materials and recycling strategies. The brand collaborates with technology companies to develop low-emission fabrics and has created, through partnership with Protein Evolution, infinitely recyclable polyester, exploiting AI and enzymes for fiber transformation.
Sustainability isn’t played only at the fiber level: it also passes through the warehouse. A deluxe footwear brand reduced end-of-season unsold inventory by 32% by connecting social sentiment and supplier orders; every day the model recalculates volumes, colors, sizes, and sends the supply-chain manager an operational traffic light.
PULL-QUOTE
“If AI reduces waste, it’s not a compliance cost: it’s creative margin.” — COO, luxury footwear brand
Some maisons have already included compute footprint in ESG balance sheets, choosing hydroelectric-powered data centers or training models during low-demand time slots [McKinsey 2025].
A New Decision-Making Era: The Future is Human+AI
AI integration in fashion and luxury is redefining decision-making processes at all levels. From board to operational managers, every role faces specific challenges in balancing innovation and control, creativity and automation.
Board Responsibilities
Boards of directors have ultimate responsibility for protecting the organization from ethical, reputational, and regulatory risks related to AI. Their main challenge is deciding whether to pursue a specific AI Act compliance program or a more general ethical AI management program.
Many boards make the mistake of considering AI as a “too technical” topic, delegating completely without exercising adequate supervision. Conversely, the most effective boards establish clear guiding principles and success metrics, leaving the C-suite to implement them.
C-Suite Role
C-level executives are responsible for designing and overseeing the AI governance program. This process must begin with gap analysis to determine what resources are available and how they can be used effectively.
A common mistake is the tendency to consider AI governance as a purely technological issue, purchasing software solutions without first establishing necessary processes and competencies. A balanced approach must consider people, processes, and technology as equally important elements.
Manager Tasks
Operational managers have the fundamental task of integrating AI Act requirements into daily workflows. This requires deep understanding of business processes and the ability to adapt general principles to specific operational needs.
A crucial challenge is monitoring changes in workflow risk levels throughout the AI lifecycle. A system initially assessed as low-risk might subsequently be employed in more critical contexts, requiring continuous reassessment.
Every role now has access to dynamic risk dashboards: intuition doesn’t disappear, but is accompanied by models that scale patterns, volumes, and scenarios.
The Need to Prepare for an Inevitable Future
The EU AI Act represents a turning point for the fashion sector, imposing a new balance between innovation, transparency, and regulation. Companies will have to face significant challenges in terms of compliance, ethics, and global competitiveness, but will also be able to seize the opportunity to differentiate through responsible and sustainable use of artificial intelligence.
Adopting a proactive strategy will be fundamental: brands that can integrate AI transparently, ethically, and compliantly will not only avoid legal risks, but will also be able to strengthen consumer trust and improve their reputation.
Next season: those who can’t explain their model won’t walk the runway. Brands have the opportunity to transform transparency into new desire, to show that behind silk lives an algorithm trained not to waste, not to discriminate, not to lie. It’s the time when heritage and artificial intelligence meet on the same fabric: that of trust. Today it’s no longer about asking “if” to adopt artificial intelligence, but “how” to do it scalably, effectively, and integrated into core processes.
The technology is ready, the regulatory framework is clear. The question is: are we ready too?
Enrico Dessì is Growth Director at Limitless Innovation, a consulting company specialized in Digital Transformation and Open Innovation in the fashion & luxury sector. He has led innovation programs for prestigious brands like Ferrari and Giorgio Armani, with particular focus on integrating emerging technologies into creative and operational processes.
