Revealing the tactics prestige brands use to keep buyers coming back for more
Luxury brands don’t play by the same rules as everyone else, turning the shopping narrative on its head with just-out-of-reach products
4 min
From the Spring 2024 issue of Kanebridge Quarterly magazine. Order your copy here.
In the world of luxury fashion, few items evoke as much desire and exclusivity as the Hermès Birkin bag.
Conceived 40 years ago, as legend has it, after a chance meeting between actress Jane Birkin and then Hermès chairman Jean-Louis Dumas on a flight from Paris to London, the coveted rectangular hold-all now has a folklore all of its own.
From rumoured ‘pre-spend’ requirements to stories of eager customers wooing Hermès sales assistants with freshly baked cookies just to get on the waitlist, Birkin lore persists because it can be tough to fact-check anything about the bag, its pricing or the brand’s distribution and sales practices. Hermès is notoriously tight-lipped and didn’t respond to requests for comment for this article.
But this phenomenon is no accident; it’s the perfect example of a meticulously crafted strategy employed by luxury brands to create a sense of urgency and prestige around their products.
“Storytelling, a strong brand narrative and engaging customers emotionally is so important in the luxury retail space,” says Dr Edwina Luck, senior lecturer in advertising, marketing and PR at the Queensland University of Technology.
“Then this is backed up with strategies such as creating scarcity around a particular product or line, which is exactly what Hermès do with the Birkin, to further create that very real sense of exclusivity that drives the luxury sector.”
According to global research firm IBISWorld, Australia’s luxury retail industry has grown 6.9 percent on average per year between 2018 and 2023 and is now worth more than $6.2 billion.
This is despite a trend during the pandemic for some brands such as Tiffany & Co. and Burberry to reposition parts of their business as ‘masstige’, meaning the perception of exclusivity in relatively affordable goods.
It’s a shift that has been exacerbated by the popularity of social media and overt influencer and celebrity endorsements driving such brands to a younger audience than has traditionally been associated with luxury retail.
“What all of that has done is actually make those ultra-luxury brands such as Hermès and Cartier even more exclusive,” says Dr Luck. “So, the gap is widening and as far as luxury brands and consumers are concerned, the more exclusive the better.”
Exclusivity has long been a cornerstone of luxury branding, creating a unique allure that sets high-end products apart from the mass market.
Limited production runs, personalised shopping experiences, and even the physical design of stores (think closed front doors and roped-off entrances) all contribute to the perception that these products are not just items, but experiences worth striving for.
Pre-spending — the concept that a consumer needs to build a “purchasing profile” that justifies their right to buy a certain product — is another tactic that brands use to build a deeper relationship between the consumer and the brand, creating a tiered connection that fosters loyalty and aspiration.
This initial investment, such as a scarf or a wallet, can serve as a gateway to the brand’s more exclusive offerings, such as particular product lines, limited-edition collections or bespoke fashion pieces.
“These strategies turn shopping into an event,” says Kelly Brown, co-founder of retail strategy agency, The Working Party.
“The anticipation, the thrill of securing a limited edition, the urgency of pre-spending — all these enhance the consumer experience.
“Luxury shoppers aren’t just buying a product, they’re buying a story, an experience, and a sense of belonging to an exclusive club. It’s about making them feel special and valued, which is exactly what consumers expect from luxury brands.”
The concept of scarcity isn’t new for high-end brands either. Enzo Ferrari, the father of the Italian luxury sports car manufacturer famously said, “Ferrari will always deliver one car less than the market demands”.
“Ferrari highlights a fundamental principle in luxury branding: the deliberate creation of scarcity,” says Jon Michail, CEO of corporate and personal brand image advisory Image Group International.
“This technique is not just about limiting supply but about crafting a positioning and image of exclusivity and unattainability that even Lamborghini could not beat.
“Scarcity creates urgency and elevates perceived “psychological” status, crucial elements for luxury brands. This perception is vital as it differentiates luxury brands from mass and mid-market options, reinforcing their unique value proposition and maintaining their premium and/or ultra-premium positioning.”
So, what’s next in the luxury sector? Experts predict luxury brands are likely to explore new and creative ways to further enhance their exclusivity and appeal.
“I see luxury brands are set to adopt more personalised and experiential techniques to enhance exclusivity and desirability,” says Brown. “A sophisticated online presence is now essential, but we’ll see luxury brands take more control over their sales channels, particularly online, by reducing distribution through online multi-brand retailers.
“This shift allows them to own the customer relationship which reinforces exclusivity and brand loyalty.”
As for the five-figure Birkin, retail insiders say only customers with an extensive purchase history with the French brand are offered the opportunity to buy one directly from a Hermès boutique.
However, pre-loved bags can often be found through online reselling websites such as priveporter.com (at the time of writing the lowest price Birkin available on priveporter.com was $AUD36,056).
According to Vogue, Hermès “boutiques have their own style offering, with infrequent deliveries and little notice as to which colourways or finishes will be available to purchase at any given moment. For this reason, customers who want a brand new bag should enquire in store and seek advice from Hermès sales experts”.
Even then, they can be hard to pin down, with Birkin bags, and the equally popular Kelly bag, subject to stringent quota systems worldwide.
Good luck.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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