What fashion companies say about AI in earnings calls, and what they omit
Most fashion firms talk AI strategy but few quantify returns. LightInTheBox reports 58% workforce optimisation, LVMH cites 2 million requests monthly to MaIA, whilst H&M and Nike focus on narrative.
KEY TAKEAWAYS Summary by the editors
- LightInTheBox disclosed that AI automation contributed to a 58% workforce optimisation since 2023.
- LVMH's internal AI assistant MaIA handles more than 2 million requests per month from around 40,000 employees.
- Zalando reported close to 10 million customers used its AI assistant in Q1 2026, up from 6 million in all of 2025.
- H&M and Nike mention scaling AI use across operations in earnings calls but provide no specific financial metrics.
Which fashion companies quantify AI benefits in investor reports?
The gap between AI ambition and disclosure is wide. Whilst more than 35 per cent of fashion executives already use generative AI in daily operations, according to industry surveys, only a handful of fashion companies attach concrete numbers to AI investments or returns when speaking to investors.
LightInTheBox disclosed that end to end AI automation contributed to a workforce optimisation of 58 per cent since 2023, one of the few hard productivity figures tied to AI in recent apparel earnings filings. The e-commerce fashion retailer achieved a full year gross margin of 65 per cent in 2025, the highest level since becoming a public company in 2013, though the company did not isolate AI's contribution to margin.
LVMH has a companywide generative AI agent called MaIA that is handling more than 2 million requests a month from 40,000 employees, the luxury group disclosed in mid 2025. The figure offers scale but no direct link to revenue or cost. LVMH committed over €100 million to AI and expanded its Google Cloud partnership in 2025 to power search, customer experience and operations, yet the company has not published return on investment metrics in earnings materials.
Zalando reported that close to 10 million customers asked its AI Assistant for advice in Q1 2026, up from 6 million in the whole of 2025. The European fashion platform said the enhanced Zalando Assistant drove a 63 per cent increase in high value actions, defined as add to wishlist, add to cart and purchase activities, between January and June 2026, a rare disclosure linking AI tools to customer conversion metrics.
What do Nike, H&M and Inditex say in earnings transcripts?
Nike's fiscal 2026 earnings calls contain no quantified AI metrics. Executives discuss supply chain actions, tariffs and margin improvement, but artificial intelligence does not feature as a distinct line item or performance driver in the official transcripts reviewed for quarters ending September 2025, December 2025, March 2026 and June 2026.
H&M is more explicit about direction but equally vague on scale. The Swedish retailer told investors in its Q1 2026 call that it is making progress within AI, increasing the speed of code production and automating how the company interprets and integrates data. In Q3 2026, CEO Daniel Ervér said the group is becoming more data driven and scaling up the use of AI, framing the technology as part of efficiency and personalisation efforts. No cost savings, headcount changes or revenue attribution were disclosed.
Inditex invested €1.8 billion in tech and logistics for 2025 to 2026, with AI powered demand forecasting now driving 85 per cent of initial production allocation decisions, according to industry analysis. The Zara owner invested in Theker Robotics, a startup developing AI driven logistics automation, in July 2025. The company does not break out AI spending separately in quarterly earnings calls, embedding technology within broader digital transformation budgets.
Why do most firms avoid publishing AI return on investment figures?
The absence of metrics reflects three realities. First, AI initiatives often span multiple functions, from design to demand forecasting to customer service, making attribution difficult. Second, competitive sensitivity: disclosing cost structure improvements or margin gains from automation could telegraph operational advantages to rivals. Third, most deployments remain partial. Ninety two per cent of fashion organisations say they will increase generative AI investment in 2026, yet only 1 per cent describe their rollout as mature, according to McKinsey survey data.
Several fashion retailers cite AI in qualitative terms during earnings calls whilst leaving the financial impact unstated. The result is a disclosure pattern in which AI features prominently in strategy narratives but rarely in performance tables.
What benefits do companies claim without quantifying them?
Common claims include faster time to market, improved demand forecasting, personalised customer experiences and supply chain optimisation. H&M, Nike, Kering and others position AI as integral to operational efficiency, yet stop short of publishing before and after comparisons or isolating AI driven margin expansion.
Capri Holdings, parent company of Michael Kors and Jimmy Choo, is projected to increase its investment in AI by 98.4 per cent, from $63 million in 2025 to $125 million in fiscal 2026, according to analysis of Standard & Poor's data. The disclosed investment figure is an exception; most fashion groups fold AI expenditure into broader technology budgets without itemisation.
Which use cases offer the clearest return on investment data?
Where fashion companies do share numbers, virtual try on, demand forecasting and content automation lead. Independent research, rather than company filings, provides much of the available ROI evidence. Fashion retailers that have implemented AI demand forecasting report reductions in forecast error of 30 to 50 per cent compared to traditional methods, industry case studies show.
Zalando executives previously said 90 per cent of the company's content production and marketing material is now AI generated or assisted, and among its approximately 3,000 tech specialists, AI assisted programming has helped increase the average number of code changes by more than 20 per cent. These operational metrics appear in interviews and corporate communications rather than formal earnings guidance.
What should investors and executives watch in future disclosures?
Investors seeking evidence of AI impact should track three signals: changes in operating margin, inventory turnover and gross margin percentage, all of which can reflect successful AI deployment in forecasting and pricing. Headcount per million euros of revenue offers another proxy for automation gains, though few fashion companies report this metric consistently.
The disclosure gap is likely to narrow. As AI moves from pilot to production and as competitive dynamics stabilise, pressure from investors and analysts will push fashion companies toward more granular reporting. Until then, the industry's AI story remains rich in promise and thin on published proof.
Frequently asked questions
Do any fashion companies disclose AI cost savings in earnings calls?
Very few. LightInTheBox reported a 58 per cent workforce optimisation since 2023 linked to AI automation. LVMH disclosed over €100 million invested in AI and cited 2 million monthly requests to its MaIA assistant. Zalando reported 10 million customers used its AI assistant in Q1 2026. Most large fashion groups, including Nike, H&M and Inditex, discuss AI in qualitative terms but do not publish specific return on investment figures in earnings transcripts.
Why do most fashion firms not quantify AI benefits to investors?
Three factors drive this. Attribution is difficult because AI initiatives often span design, forecasting, logistics and marketing. Competitive sensitivity discourages detailed disclosure of margin gains or cost reductions. Most rollouts remain immature: 92 per cent of fashion organisations plan to increase generative AI investment in 2026, yet only 1 per cent describe their deployment as mature, according to McKinsey survey data.
Which AI use cases in fashion have the most measurable returns?
Demand forecasting, virtual try on and content automation show the clearest ROI in independent studies. Fashion retailers report forecast error reductions of 30 to 50 per cent with AI demand forecasting. Zalando disclosed a 63 per cent increase in high value customer actions from its AI assistant between January and June 2026. Virtual try on and AI generated product imagery also deliver measurable conversion and cost benefits, though most metrics appear in case studies rather than earnings filings.
Sources
Researched and drafted with AI support, reviewed and released by the editorial team.