Luxury's AI gap: your best customers use AI, and it rarely cites you
Bain and Comité Colbert's 2026 luxury study shows the highest-value customers have already moved to AI-led discovery, while brands are still pointing AI at the back office. Here is what the numbers say, plus new ratios and conclusions for luxury marketers, based on the figures in the Bain report.
Bottom line
Luxury's best customers have crossed over to AI. In Bain's 2026 data, 82% of top-tier spenders used AI during their most recent purchase, against just 28% of the lightest spenders, so AI use rises with the size of the wallet. The problem is what the AI says: about 90% of the sources it cites for luxury queries are third-party, which leaves the brand supplying roughly 1 in 10 of the pages the model reads. Meanwhile houses scaled AI about 5x faster in the back office than in the customer experience. The gap is not adoption, it is direction: customers use AI to discover, brands use it to save time.
Source: Bain & Company and Comité Colbert, “Winning Over the Customer in the Age of AI” (5th edition, June 2026). Ratios marked “Aiso analysis” are our own calculations from Bain's reported figures, not Bain's conclusions.
Figures come from Bain and Comité Colbert's 5th annual luxury and technology report, published 30 June 2026. Consumer data is as of April 2026; the executive survey covered 35 respondents across 23 Maisons and groups; the brand-citation analysis was run with meikai.ai. This piece is maintained by the team at Aiso, an AI-search visibility platform.
The demand side: AI use rises with spend
The headline most coverage picked up is that 82% of top luxury buyers used AI in their last purchase. The more useful finding is the shape of the curve underneath it. Adoption climbs cleanly with spend: 28% of light spenders, 51% of moderate spenders, 82% of the heaviest. Each step up the value ladder adds more than 20 points of AI use.
That flips a common assumption. AI-assisted shopping is not a bargain-hunter behaviour that luxury can wait out. It concentrates in the customers a house can least afford to be invisible to. On Bain's numbers, the heaviest spenders are about 2.9 times more likely to have used AI than the lightest.
AI use by spend tier
AI use by market
Share of luxury buyers who used AI during their most recent purchase (Bain, April 2026). China runs about 2.4x ahead of France, so a Paris-centric read of readiness understates the exposure in the fastest-growing markets.
The visibility gap: brands own about 1 source in 10
Here is the number every luxury marketer should sit with. When an AI engine answers a luxury query, about 90% of the URLs it cites come from sites outside the brand. So on the questions that build desire, the house supplies roughly one source in ten. Its narrative is being assembled, for its best customers, largely out of other people's pages: press, resale platforms, multi-brand retail, and forums.
Two more figures make it sharper. Around 70% of luxury prompts do not name a specific brand to start with, and about 75% are discovery or comparison led. The model is choosing which houses to put in front of a customer before that customer has a brand in mind. In practice, the AI has become an editor of the consideration set.
Who supplies the sources AI cites for luxury queries
Read next: which sources AI assistants actually cite, and what makes content easy for models to retrieve.
The supply side: brands put AI in the back office
Luxury is not ignoring AI. It has moved up the agenda fast: AI counted as a top-3 corporate priority for 22% of houses in 2026, up from 5% in 2024, and sits in the top 10 for 61%. But the money has mostly gone inward. Large-scale use grew fastest in support functions and slowest in the parts of the business the customer actually touches.
The result is a directional mismatch. Customers point AI outward, to discover and compare. Houses point it inward, to cut cost and effort. Only 25% report developing or piloting AI in CRM, and just 5% say scaled deployment has delivered significant impact.
| Where luxury scaled AI | 2024 | 2026 | Change |
|---|---|---|---|
| Support functions | 6% | 31% | ~5x |
| Operational functions | 10% | 19% | ~1.9x |
| Customer-facing functions | 16% | 21% | ~1.3x |
| AI ranked a top-3 priority | 5% | 22% | ~4.4x |
| AI ranked a top-10 priority | 50% | 61% | +11 pts |
Share of luxury houses running each use at large scale, and where AI ranks as a priority (Bain and Comité Colbert executive survey, 2024 vs 2026). The “Change” column is Aiso's calculation from those figures.
Aiso analysis: the gap, in five ratios
These ratios are ours, calculated from Bain's published figures to make the demand-supply gap concrete. They are not Bain's conclusions.
| Metric | Figure | What it means |
|---|---|---|
| Brand share of AI's cited sources | ~10% | 90% of the URLs AI cites for luxury queries point to third-party sites |
| Best customers vs the brand's own customer-facing AI | ~3.9x | 82% of top buyers use AI; only 21% of houses have scaled AI in customer-facing work |
| Back office vs storefront AI scaling (2024 to 2026) | ~5x | Support AI grew +25 points; customer-facing AI grew +5 points |
| Ambition vs realised impact | ~4.4x | 22% call AI a top-3 priority; 5% report real impact from scaled deployment |
| Repeat intent after using AI | 97% | Only about 3% are one-and-done, so the behaviour compounds |
Aiso analysis of Bain's reported figures. Customer-facing scaled AI is taken as 21% (Bain, 2026); ratios are rounded.
Luxury houses face a twofold urgency: moving from broad internal experimentation to real business impact, and building their presence within the new discovery environments represented by generative AI engines, as customers adopt AI at an accelerating pace.
Conclusions for luxury marketers
Your most valuable customers meet you through an answer you did not write
AI use rises with spend: 28% of light spenders, 51% of moderate spenders, 82% of the heaviest. The customers worth most to a house are the ones most likely to have used AI to get there. AI visibility is not a mass-market concern for luxury, it is a top-customer concern.
Winning AI discovery is a third-party-source game
About 90% of the URLs AI cites for luxury queries sit outside the brand: editorial, resale, retail, forums. Polishing your own .com is necessary but not sufficient. You have to earn presence in the sources the model already trusts, and measure your share of them.
AI is now a consideration-set gatekeeper
Around 70% of luxury prompts do not name a brand to begin with, and 75% are discovery or comparison led. The model shapes the shortlist before the customer has one in mind. If you are not in the answer, you are not on the list.
The industry is pointing AI inward while customers point it outward
Houses scaled AI roughly 5x faster in the back office than in the customer experience. Customers use AI to discover and compare. Treating AI as a productivity tool misses where it actually touches revenue: the front door.
Measure AI answer share like you measure the store window
You track share of shelf, share of search, share of voice. Add share of the AI answer: which prompts surface your house, which surface rivals, and which sources the model reads. If you cannot see it, you cannot defend it.
The productivity trap, in one line
A house can hit every internal AI target, faster support, leaner operations, a piloted CRM, and still lose the moment that matters: the query where a first-time buyer asks an assistant which house to trust. If 82% of your best customers are asking and 90% of the answer is written by other people, the back-office wins do not touch the front door. The scoreboard that counts is share of the AI answer.
Frequently asked questions
What share of luxury shoppers use AI to buy?
In Bain and Comité Colbert's 2026 study, 82% of top-tier (very heavy) luxury spenders used an AI tool during their most recent purchase, versus 51% of moderate spenders and 28% of the lightest. By market (as of April 2026), 64% of Chinese buyers, 54% of US buyers, and 27% of French buyers used AI in their last luxury purchase. 97% said they would use AI again.
Do luxury brands control what AI says about them?
Mostly not. Bain's analysis found that about 90% of the URLs AI search engines cite for luxury queries point to sites outside the brands themselves. That leaves roughly 10% of cited sources under the brand's own control. Because around 70% of luxury prompts do not name a brand to start with, the model often shapes the shortlist before a customer has one in mind.
Which markets have the highest luxury AI adoption?
China leads at 64% of luxury buyers using AI in their most recent purchase, followed by the United States at 54%, with France lower at 27% (Bain, April 2026). China runs about 2.4x ahead of France, so the fastest-growing luxury markets are also the most AI-mediated.
Are luxury brands ready for AI-led discovery?
Intent is rising faster than impact. AI jumped from a top-3 corporate priority for 5% of houses in 2024 to 22% in 2026, but only 5% report significant impact from scaled deployment. Houses scaled AI fastest in support functions (6% to 31%) and slowest in customer-facing work (16% to 21%), so investment has gone to the back office while customers use AI at the front door.
What should luxury marketers do about AI search?
Treat AI as a discovery channel, not just a productivity tool. Measure your share of the AI answer across the prompts customers actually ask, earn citations in the third-party sources the model already reads (editorial, resale, retail), and make your own product and heritage content easy for models to retrieve. Aiso tracks how a brand is cited across ChatGPT, Claude, Gemini, Perplexity, and Copilot.
See your share of the AI answer
Aiso tracks how your brand is cited across ChatGPT, Claude, Gemini, Perplexity, and Copilot, for the real prompts your customers ask, and shows which sources the models read. Find the queries where you are invisible before your rivals own them.