Retirement Is a Time to Downsize—and Not Just Stuff
Kanebridge News
    HOUSE MEDIAN ASKING PRICES AND WEEKLY CHANGE     Sydney $1,655,421 (-1.37%)       Melbourne $932,308 (-8.79%)       Brisbane $1,123,003 (-1.81%)       Adelaide $1,037,564 (+0.65%)       Perth $1,067,431 (-3.14%)       Hobart $841,531 (-0.24%)       Darwin $833,085 (+2.22%)       Canberra $997,488 (-1.28%)       National Capitals $1,117,351 (-1.89%)                UNIT MEDIAN ASKING PRICES AND WEEKLY CHANGE     Sydney $809,969 (-3.22%)       Melbourne $565,142 (-9.84%)       Brisbane $739,115 (-5.33%)       Adelaide $586,922 (+1.33%)       Perth $628,011 (-0.24%)       Hobart $600,183 (+4.66%)       Darwin $485,553 (-1.34%)       Canberra $494,366 (+1.35%)       National Capitals $631,659 (-2.57%)                HOUSES FOR SALE AND WEEKLY CHANGE     Sydney 15,318 (+1,415)       Melbourne 16,910 (+2,370)       Brisbane 12,398 (-503)       Adelaide 4,278 (+579)       Perth 9,664 (+855)       Hobart 813 (+96)       Darwin 197 (+12)       Canberra 1,334 (+129)       National Capitals 60,912 (+4,953)                UNITS FOR SALE AND WEEKLY CHANGE     Sydney 9,649 (-1,019)       Melbourne 6,724 (-1,041)       Brisbane 2,551 (+198)       Adelaide 669 (+230)       Perth 1,787 (+79)       Hobart 166 (+9)       Darwin 207 (-9)       Canberra 1,280 (+68)       National Capitals 23,033 (-1,485)                HOUSE MEDIAN ASKING RENTS AND WEEKLY CHANGE     Sydney $850 (-$10)       Melbourne $600 ($0)       Brisbane $720 (+$20)       Adelaide $650 ($0)       Perth $750 ($0)       Hobart $620 (-$10)       Darwin $850 (+$50)       Canberra $710 (-$10)       National Capitals $730 (+$7)                UNIT MEDIAN ASKING RENTS AND WEEKLY CHANGE     Sydney $800 (-$20)       Melbourne $610 (-$10)       Brisbane $680 (+$60)       Adelaide $540 ($0)       Perth $700 ($0)       Hobart $530 (+$23)       Darwin $680 (-$40)       Canberra $580 (-$10)       National Capitals $652 (-$2)                HOUSES FOR RENT AND WEEKLY CHANGE     Sydney 6,408 (-212)       Melbourne 7,769 (+707)       Brisbane 3,720 (+239)       Adelaide 1,232 (-47)       Perth 2,223 (+72)       Hobart 199 (-38)       Darwin 85 (+31)       Canberra 376 (-70)       National Capitals 22,012 (+682)                UNITS FOR RENT AND WEEKLY CHANGE     Sydney 9,911 (-226)       Melbourne 6,187 (+102)       Brisbane 2,194 (-1,277)       Adelaide 443 (+20)       Perth 714 (+16)       Hobart 80 (+10)       Darwin 154 (+42)       Canberra 770 (+1)       National Capitals 20,453 (-1,312)                HOUSE ANNUAL GROSS YIELDS AND TREND       Sydney 2.67% (↑)      Melbourne 3.35% (↑)      Brisbane 3.33% (↑)        Adelaide 3.26% (↓)     Perth 3.65% (↑)        Hobart 3.83% (↓)     Darwin 5.31% (↑)        Canberra 3.70% (↓)     National Capitals 3.40% (↑)             UNIT ANNUAL GROSS YIELDS AND TREND       Sydney 5.14% (↑)      Melbourne 5.61% (↑)      Brisbane 4.78% (↑)        Adelaide 4.78% (↓)     Perth 5.80% (↑)        Hobart 4.59% (↓)       Darwin 7.28% (↓)       Canberra 6.10% (↓)     National Capitals 5.36% (↑)             HOUSE RENTAL VACANCY RATES AND TREND       Sydney 1.4% (↑)      Melbourne 1.5% (↑)      Brisbane 1.2% (↑)      Adelaide 1.2% (↑)      Perth 1.0% (↑)        Hobart 0.5% (↓)       Darwin 0.7% (↓)     Canberra 1.6% (↑)      National Capitals $1.1% (↑)             UNIT RENTAL VACANCY RATES AND TREND       Sydney 1.4% (↑)      Melbourne 2.4% (↑)      Brisbane 1.5% (↑)      Adelaide 0.8% (↑)      Perth 0.9% (↑)      Hobart 1.2% (↑)        Darwin 1.4% (↓)     Canberra 2.7% (↑)      National Capitals $1.5% (↑)             AVERAGE DAYS TO SELL HOUSES AND TREND       Sydney 33.2 (↑)      Melbourne 31.7 (↑)        Brisbane 38.7 (↓)     Adelaide 31.4 (↑)        Perth 43.6 (↓)     Hobart 27.6 (↑)      Darwin 36.0 (↑)      Canberra 31.1 (↑)      National Capitals 34.2 (↑)             AVERAGE DAYS TO SELL UNITS AND TREND       Sydney 30.1 (↑)      Melbourne 29.3 (↑)      Brisbane 37.9 (↑)        Adelaide 31.6 (↓)     Perth 45.3 (↑)      Hobart 28.5 (↑)        Darwin 24.2 (↓)       Canberra 31.3 (↓)       National Capitals 32.3 (↓)           
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Retirement Is a Time to Downsize—and Not Just Stuff

On the one hand, we’re systematically labeling which things to get rid of, and when. But we’re also downsizing our ambitions.

By KAREN KREIDER YODER
Thu, Oct 12, 2023 8:04amGrey Clock 5 min

The first year in retirement is often the most difficult. But it also can set the stage for how you’ll fill the years ahead—both financially and psychologically. Stephen Kreider Yoder, a longtime Wall Street Journal editor, joined his wife, Karen Kreider Yoder, in retirement a year ago. In this monthly Retirement Rookies column, the 66-year-olds chronicle some of the issues they are dealing with early in retirement.

Karen

In the kitchen, I look up at my woven companions—16 baskets atop the cabinets. They’re from a dozen countries, and they radiate warm memories.

But wait, do I need so many baskets? And 40 more are around the house, many as decorations or stored in closets.

I’m trying to get rid of stuff methodically early in retirement, and it’s beginning to feel like a steady job. There’s no urgency. But when the time comes for a smaller place, I want to be ready. That time could come any time.

I want to winnow our possessions before there’s a health crisis or moving van at the door, while I can do the hard work of organizing and categorizing, of identifying what I need long-term, what to disperse and what to pitch.

It’s partly psychological. As I age, I find I have less room in my head to keep track of things. And the sheer numbers of some possessions create a growing mental tension.

We were ahead of the game when we retired. We moved a dozen times in 44 years, each time purging a bit. Helping our parents downsize inspired us often to do a sweep of our own when we got home.

Now that we’re both retired, I’ve created some downsizing categories to keep me from being overwhelmed:

• Don’t use it, don’t need it. Old electronics and orphaned cords. Knickknacks without sentimental value. My 20 thimbles from around the world, only one of which I ever use. The 150 beautifully sharpened No. 2 pencils in a row of blue-and-white ceramic pots, one labeled “Pencil Collectors Society.”

I’ll use perhaps a dozen pencils the rest of my life. The others can be off to Goodwill now, along with everything else in this category.

• Things we use now but won’t in a smaller space. Some of the guest-room furniture, extra chairs, large house plants, the piano, a rusty wheelbarrow. We should do an inventory now and label what we’ll ditch when we move.

• Stuff only I can handle. My childhood report cards, recital programs, work accomplishments, letters and such are a priority for thinning out now. Nobody else can make sense of them, but it can feel like throwing away bits of myself.

“But Mom, you have to save all of that,” says our son Isaac. “It’s like your personal legacy.” Maybe I’ll keep more than I intended, for our boys to root through as a window into my youth. (But, I wonder, will they really care about those report cards?) At least, though, I should organise it.

• Family heirlooms and mementos. These, too, are hard to part with, imbued with family history and shared memories.

We aren’t antiquers, but we do have a few elegant old Japanese tansu cabinets the kids grew up with. And I have about 25 quilts, some I made starting at age 7, and many from family and friends. They are works of art and full of memories but too many to fit in a condo.

The boys say they want some but are still too mobile, so at least I should make a plan for who gets what.

• Things I want by my side through older years. Family photos. My Japanese pottery. Journals from our travels. My quilt frame.

And baskets. I have always cherished handmade baskets. My first is from South Dakota, where at 16 I learned willow-basket making from two local weavers. I can’t part with it.

When our son Levi is home, we eat sticky rice with our fingers out of little lidded Laotian rice baskets, recalling Laos when he was age 2 and clutched his sticky-rice basket as we bicycled around Luang Prabang.

In our guest-room closet is a Japanese backpack basket—a gift from a student’s family—whose weaver was a Japanese National Treasure. In my reading room is a basket we bought in a Philippines market in 1987, not knowing it was for a baby until locals pointed and laughed knowingly. It became a bassinet to our three babies, and it’s a treasure.

Five dozen baskets is too many now. How many is just enough?

Steve

A classical guitar in its case stares at me from a corner of the bedroom. “Play me,” it taunts, and I look the other way.

Maybe it’s time I got rid of my lonely 1972 Alvarez Yairi as part of our gradual downsizing.

A tougher thought: I should probably also downsize my pipe dream of someday playing a guitar even moderately well, along with dozens of other unrequited ambitions I’ve clung to for decades. And I’ve got a few erstwhile passions I might best surrender now as well.

Karen talks of ditching stuff, and I’ve got plenty of boxfuls to sacrifice—textbooks, decrepit power tools, hardware that definitely might come in handy some time.

I also should release one or both of my vintage Honda motorcycles, which I’m sentimentally attached to but haven’t ridden in ages.

But for me, downsizing is more than getting rid of stuff. It’s about getting rid of conceptions of myself—of who I was, who I am and who I want to be.

That is, I should sell my motorcycles not just because they take space, but also because I think I’ve permanently moved on from motorcycling, my passion for decades starting at age 12.

Same with my skis and skiing.

Retirement has had a way of giving me permission to begin letting go—of my professional identity, my urge to do financial planning without help, the delusion that I’ll be fit forever. That permission makes it a good time for some wanna-do triage.

There are things I still intend to get to, now that I have more time. I want to weld better, brush up my Spanish, improve my swimming, study more history and learn to drive an 18-wheeler. There are activities we’re already stepping up, like traveling more in Africa, cycling around America, visiting family and seeking long-term volunteering opportunities that match our skills.

But finding time for all of it requires that I liberate other I-will-get-to-its that are increasingly a mental burden. I will probably never learn Arabic and should forgive myself of that, and French. I can get rid of the beer-brewing equipment I bought when I was 23 and discharge the notion that I’ll ever learn to use it.

I will probably never write a book; may I free myself from that weight? I hereby declare I can die happy enough without visiting Machu Picchu, the Galápagos or Rome as I’d once hoped to do. There are plenty of other places we want to go, and not time for everywhere.

Our house is a standing to-do list of fun projects I’ve put off and may never get to—or shouldn’t, lest I fall off a ladder and meet an untimely demise. Let’s just release some of those projects, too.

When I bought the Alvarez in 1981, my guitar teacher said I had talent. His kind words kindled my decades-long conviction that I would learn to play it well, eventually. We moved to Japan the next year, and I took along the guitar but didn’t find a teacher—temporarily, I told myself.

The guitar moved with us many times until 2012, when Karen bought me lessons with a fabulous teacher for my birthday and I began learning again. I did pretty well, even playing in a few modest recitals. But I dropped it—temporarily, I said—when we moved out of town for a year.

Now there it sits. It’s time to set it free.

Or is it? I finally have the bandwidth. I just opened the case, and only one string is broken, a good omen. Maybe this time I really can learn to play it.



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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.

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The AI Boom Faces Its First Serious Debt Test

Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.

By Ruba Jaajaa
Mon, Oct 19, 2026 4 min

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

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