Meet the Woman Taking the ‘Blood Sport’ out of Buying a Coveted Hermès Birkin Bag
4 min
The impetus for Judy Taylor to start her luxury handbag and jewellery resale company Madison Avenue Couture dates back to her career in investment banking more than two decades ago. At the time, she was an avid shopper for high-end clothing and had built a sizeable collection of corporate wear from designer labels.
Taylor eventually took an extended break from banking to travel the world and decided to sell the clothing on eBay.
“I was surprised at the money I netted by selling these used items and realised the potential of the online resale market,” Taylor says. “Not being someone to let an opportunity pass, I began to buy and sell new and almost new luxury clothing, shoes and handbags and saw how much they were in demand.”
Courtesy of Madison Avenue Couture
Her homespun venture quickly grew into a full-fledged profitable business, and in 2010, she established Madison Avenue Couture. Today, the brand bills itself to be the largest online independent reseller of new and never-worn Hermès holy grail bags, primarily Birkins and Kellys that are nearly impossible to find. It also sells a selection of pre-owned collectible and vintage Hermès, Chanel, Goyard, and Louis Vuitton bags, Hermès and Chanel jewellery, and accessories and sought-after fine jewellery.
Taylor says that her company enables any consumer with the means to buy highly in-demand goods.
“You can’t just go into Hermès and buy a Birkin because there usually aren’t any available, and if they are, customers are limited to buying two bags a year,” she says. “Chanel has also limited purchases since Covid, and other brands have imposed restrictions.”
According to Taylor, these tactics have increased market demand and have enabled luxury labels to increase their prices. However, since supply cannot meet demand, consumers are increasingly reaching out to the resale market, including her company, for these items.
“Our business continues to grow, and we have an extensive network to source handbags and jewelry,” Taylor says. “Unlike much of the traditional resale market, our items are primarily new and never used and carry a premium over [the] retail price.”
Taylor, 59, speaks with Penta about her company and the luxury resale market overall.
Can you talk about how the luxury resale market for handbags and jewellery has evolved in recent years, especially since the pandemic?
About three weeks into the pandemic, we started getting orders. They were slow at first but then accelerated.
With retail stores closed and travel restricted, people turned online to shop. The only place to purchase new Hermès and Chanel handbags was online and from dealers on the secondary market. They became comfortable with buying these brands online. Sales increased by 60% in 2020 and doubled in 2021, compared to the prior years. Even after the brand boutiques opened and travel resumed, online sales continued their momentum. Our sales quadrupled from 2019 to 2023.23.
Who are your customers, and have they changed over the years?
Our clients are primarily those who have disposable income and love to spend it on beautiful things. Partners of hedge funds, investment bankers and law firms, self-made entrepreneurs, physicians and dentists, celebrities and socialites represent the bulk. But we always have the aspiring—those for whom buying a Birkin or Kelly is a bit of a financial stretch.
What are the advantages of buying a resale bag or piece of jewellery?
Hermès and Chanel do not offer their handbags online. While Hermès.com may offer one or a few small bags on occasion, they are sold out in seconds. The same goes for branded jewellery, notably Van Cleef & Arpels. Try purchasing a popular VC&A Alhambra piece online or in one of their stores to take home immediately—it is almost impossible.
Madison Avenue Couture
The second is ease of purchase. Hermès has made getting a holy grail bag almost a “blood sport.” The machinations that someone goes through to get a Birkin or Kelly are anxiety-producing for most. First, you need to find a friendly sales associate. Then, a profile must be built, which involves spending on Hermès goods that are not leather handbags. The more the spend, the greater the chance of getting a handbag. Expensive furniture, fine jewellery, and watches have the greatest sway. Scarves or a pair of shoes won’t bat an eyelash. The amount needed to be spent is unknown, but we’ve heard it could be significantly more than the price of the bag. Plus, there is no guarantee that it will result in getting the bag of your dreams.
In the secondary market, you can pick the bag of your dreams without the hassle and stress of building a profile.
How do you source your items, and how are you able to guarantee their authenticity?
We purchase from individuals and other handbag dealers primarily. We usually get the original store receipt or a copy of it for most bags we purchase, which establishes provenance. Regardless of having the receipt or not, every bag goes through in-house and third-party authentication. We chose who we believe to be the best independent authenticators of Hermès and Chanel, which is where we find the most counterfeits.
What are some of the most in-demand brands and items for buyers who can afford them?
Hermès and Chanel handbags are generally in demand by professional and affluent women and men who give them as gifts. Goyard is popular because it evokes quiet luxury. In jewellery, we see the greatest demand is for Van Cleef & Arpels pieces, particularly the Alhambra series.
What advice do you have for people who want to find a specific piece from a source outside of the brand itself?
We recommend that people purchase only from dealers who guarantee authenticity and have a history of selling only authentic bags.
Furthermore, rely on a reseller that has its inventory on hand like us. We have already checked the condition, verified authenticity, and confirmed availability. Marketplaces, which aggregate different vendors, cannot know for certain if an item is available, in the stated condition or authentic. (Some authenticate after the item is sold, which delays getting the item.) Resellers that do not have an item in stock will source it, which can take weeks and may not be in the condition described.
This interview has been edited for length and clarity.
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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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