You’ve Got Too Much Stuff. 3 Smart Ways to Declutter Your Home by 2024.
Worried about new acquisitions filling up your home this holiday? Here, organisational experts share tips to jettison old, unwanted items—whether you’re motivated by profit, charity or sheer exhaustion.
2 min
SMUG MINIMALISTS often tout the “one in, one out” rule, a clutter-control practice that involves removing one item from your home any time you add another. But during the amped-up accumulation of the holidays, even typically type-A housekeepers can find themselves derailed and searching for ways to cull the excess. “So much stuff is coming into our homes this time of year, along with pressure to be jolly,” said Chicago-based professional organiser Sarah Parisi of the Clutter Curator. “It’s a natural time to declutter.”
To help expedite the process, here she and other home experts share tips for deaccessioning effectively.
What to Do If…You Want to Make Some Cash
Prioritise. “The biggest question I ask my clients is what’s worth their time,” said Washington, D.C.-based decluttering expert Jenny Albertini. “Identify which pieces offer the highest return and focus your efforts on [selling] those.”
Local auction houses or upscale online décor marketplaces—like Incollect, 1stDibs or Chairish—are Albertini’s go-to for unloading particularly valuable furnishings. For everything else, New York-based interior designer Amy Lau prefers Facebook Marketplace. “It’s quick and commission-free,” she said—and though managing the selling process can be laborious, the payoff is usually worth it.
Craving a truly clean slate? Check EstateSales.org to find a house-clearing company to prep your home for a monster tag sale. “They’ll keep a percentage of the profit,” explained Albertini. “But you do much less work.”
What to Do If…You Want to Do Good
“The best way to get rid of stuff is whatever gets it out of your house fastest—usually donation,” said Dallas-based decluttering expert Dana K. White. For that reason, she encourages clients to think of organisations like the Salvation Army as service providers—and not to get hung up on which charity feels like a “just-right” match. Start with local homeless shelters, churches or Goodwill, which is as “ubiquitous as Starbucks” and a “good option for generalised donations,” Albertini said. Animal shelters sometimes accept odds and ends—like pillows and bedding—that other organisations won’t.
If you’re ready to part with an item but believe someone else could cherish it, steer toward organisations like Humble Design. This nonprofit—which operates in Chicago, Cleveland, Detroit, San Diego and Seattle—collects donated furniture and household items either by drop-off or pick-up and stores the goods in their warehouse. Humble’s designers and volunteers later “shop” the warehouse to furnish homes for families emerging from homelessness. Similarly, to keep reusable household items from landing in landfills, Habitat for Humanity’s ReStores accept used furniture, appliances, housewares and building materials and resell them to the public at discount, using the profits to build affordable housing worldwide.
What to Do If…You Want to Do Almost Nothing
Does decluttering seem like just another chore? For clients who are loath to add another item to their to-do list, Albertini recommends OfferUp, a classified service akin to Facebook Marketplace that requires fewer fussy photos and descriptions. She also likes the consignment site Kaiyo; it will pick up, store, clean and deliver your furniture to its eventual buyer for a percentage of the sale price. For anything leftover, hire a hauling service like 1-800-Got-Junk, Dolly or Junk King, which do 100% of the heavy lifting for you. Bottom line, says Lau: “If you don’t love it or use it, lose it.”
The Wall Street Journal is not compensated by retailers listed in its articles as outlets for products. Listed retailers frequently are not the sole retail outlets.
Copyright 2020, Dow Jones & Company, Inc. All Rights Reserved Worldwide. LEARN MORE
From making unpopular decisions to learning when to listen, leaders from five businesses reveal what nobody prepared them for — and how running a company has challenged their expectations.
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
Australia’s housing market defies forecasts as prices surge past pandemic-era benchmarks.
Set on one of the city’s last absolute riverfront sites, The Riversdale by Mosaic combines irreplaceable waterfront ownership with one of Brisbane’s most significant residential opportunities.
