Forget the Pool or Even the Living Room—‘Our Closet Time Is Precious’

A room you might not expect comes to mind when home seller Karen Haines reflects on fond memories at her Hollywood Regency-style house in Palm Springs, California: her bedroom closet.

“Forget the great room, swimming pool or hot tub. All the action in the house happens in the closet. It’s where everyone wants to be,” said Haines of the enormous space, which is decked out with white tones, mirrors, marble and gold finishes, and has double sinks with bird-shaped faucets.

Haines and her husband, Chris, are selling the house, designed by acclaimed architect Robert Marx and on the market with Douglas Elliman for $5.2 million. The couple, both entrepreneurs in the music industry, usually keep classic rock ‘n’ roll playing in the closet all day, she said.

“My daughter and I try on clothes in there, and Chris and I drink coffee in the morning and cocktails come evening,” she said.

For most homeowners, closets are merely functional—that is, a place to hold clothes, accessories and other items that they turn to for everyday wear. Some, however, are taking the coziness and intimacy of the primary suite’s walk-in closet to the next level and turning it into the home’s prized space. It’s become a place where couples can connect at the end of a hectic day or a lounge where owners socialise with friends, enjoy a morning coffee, and, yes, even imbibe with cocktails and wine.

Chris Lim, a real estate agent and former president of Christie’s International Real Estate, said that he is witnessing a redefining of the concept of walk-in closets.

“With the inclusion of features like bar sinks, lounge seating, spacious islands and glass displays and expanded vanity areas, walk-in closets now offer a retreat for morning rituals and post-day relaxation,” he said. “They’ve become hubs of activity and connection in multimillion-dollar homes.”

Part of the trend, he said, is the growing number of fashion and social media influencers, who often use their bedroom closets as their offices or filming space.

When it comes to showpiece closets, Brazilian design firm Ornare is a leading name and charges between $30,000 and close to $1 million for its services.

Claudio Faria, the CEO of Ornare Miami, said that when he opened his business in 2007, closets were an afterthought with homeowners investing their money in zhuzhing up public-facing spaces such as kitchens and family rooms. Now, he said, closets are dominating home design—his business has grown 50% annually for the last five years as a result.

“Closets have become more important because, in the way that wealthy people collect cars and art, they’re collecting clothes, and closets are the venues to show them off,” Faria said. They’re also a unique area to use in your home because of their intimacy and become talking points.”

Ana Paula Siebert Justus is a client and tapped Ornare to bring her vision of a glamorous closet to life. Justus, a fashion influencer, and her husband, Roberto Justus, an entrepreneur, own a five-bedroom condominium in Sunny Isles, Florida. The large wardrobe in their bedroom is awash in green hues, wood and leather. Backlighting features throughout, and there are sections for handbags and clothes plus a hat rack and a vanity with a chair.

“I spend a lot of time in my closet shooting content, so it needs to be in photograph-ready shape,” she said. “It has no door, and one of my favorite ways to connect with Roberto is to catch up as I’m getting dressed for the day or evening events. Our closet time is precious.”

Tina Trahan, a philanthropist and art collector, lives in Los Angeles’s Studio City neighbourhood in a 5,100-square-foot home that was the exterior for the home on “The Brady Bunch” TV series. She shared similar sentiments about her closet. She has repurposed one of the bedrooms into the space and has outfitted it with double-height rolling racks, a three-way mirror, a sofa, a Miele coffee machine and a fridge stocked with drinks including White Claws—her beverage of choice.

Trahan said that she frequently entertains girlfriends, and they love heading to her closet to drink tequila and wine and catch up.

“We end up ordering sushi and eating it there. My closet is 100% our favourite place to hang out,” she said.

Other examples of these double-duty flashy closets abound.

Real estate agent Katrina Barrett of Christie’s International Real Estate Walt Danley | Local Luxury is overseeing the marketing and sale of a $40 million home in Paradise Valley, Arizona. The centrepiece of its primary suite is an expansive closet with seating, a steaming area, hidden panels to store valuables and a secret door leading to a sports barn with a pickleball court and golf simulator.

In another example, Susan Archer is selling her home in Issaquah, Washington, near Seattle, for more than $6 million through Windermere Real Estate/Luxury Portfolio International. She described the property’s primary bedroom’s closet as “a haven for creating memorable moments with friends and family.”

The white-painted space has marble and cream walls and features backlighting, a display case that’s common in upscale boutiques, a washer and dryer, a wet bar, an island and seating.

“Many of my girlfriends and I have gathered around the island, their excitement palpable as they admire my collection. With champagne flutes in hand, the atmosphere is lively and carefree,” Archer said. “Beyond the soirées with friends, my closet holds a special place for precious moments with my daughter. As she grows, her interest in fashion blossoms, and my closet becomes a treasure trove of inspiration for her budding style.”

A 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