Luxury Intelligence

AI is not a universal unlock for commerce, but a high-stakes contest where only the biggest or most profitable players can afford to play at scale. OpenAI tripled revenue to $5.7 billion in Q1, but burned through $3.7 billion to get there, including $2.3 billion in stock compensation. Amazon, chasing the same AI prize, is now selling its own chips and betting on a $50 billion market, yet still lags OpenAI and Anthropic in model performance. Even Amazon, Walmart and Uber are now capping internal AI usage to control runaway costs. The message is clear: AI is not cheap, and the gap between what is technically possible and what is commercially viable is widening, not shrinking.

Luxury and jewellery brands face a different calculus. DressX reports that AI-powered virtual try-on lifts conversion rates by up to 10 times in luxury, but only brands with high margins can justify the investment and ongoing spend. Shopify’s new tools to track AI-driven traffic are a step forward, but the firms best positioned to benefit are those who can afford to experiment, optimize, and absorb failures. Akeneo’s acquisition of PricingHUB shows that even in product information and pricing, AI is being bundled into premium, enterprise-level solutions, not democratized for all.

Skeptics will argue that costs will fall and tools will trickle down. That is true for some features, but the most powerful, differentiating AI capabilities, custom models, proprietary data, real-time optimization, will remain out of reach for most. Only outsized scale or luxury-level margins can fund the arms race.

For luxury and jewellery operators, the implication is blunt: treat AI-driven commerce as a competitive advantage only if you can outspend your peers, or if your brand can command the margins to justify it. For everyone else, focus on the basics, authentic storytelling, operational excellence, and customer trust, while watching closely for when, not if, the economics of AI finally shift.