These Baby-Chasing Grandparents Are Turbocharging Demographic Shifts

Gillian Held wanted her daughter to grow up around her grandparents. But moving from suburban Orlando back to New Jersey would have meant downsizing. So last year, Gillian’s parents sold their house and relocated to Florida several months before baby Nora was born.

“I said, ‘I don’t want to be Grandpa on a screen,’” said David Held, a retired New York City police officer who now helps watch his 7-month-old granddaughter two days a week.

Baby chasers are one of the cuddlier demographic trends contributing to America’s southward migration, a shift that is shaping everything from home building to municipal finance. Retirees have long sought out Southern states’ warmer weather and year-round golfing. Lower living costs and ample jobs have prompted a decade-long population boom in the South, and now those states boast a new attraction for many older Americans: their grandchildren.

Decades of rising stock prices and home values have left older Americans with much of the nation’s wealth, Federal Reserve data show. High mortgage rates are no obstacle to longtime homeowners who can sell their paid-off houses and buy new ones without a mortgage. In an era of more-flexible work, relocation doesn’t have to mean retirement. When grandparents live nearby, families can spend less on child care—and eldercare.

Housing-research firm Zonda publishes a yearly Baby Chaser Index ranking cities by growth in residents 25 to 44 and 60 to 79. Austin, Texas, Charleston, S.C., and Jacksonville, Fla., topped last year’s list. Ali Wolf , the firm’s chief economist, first heard about the trend six or seven years ago from home builders: “They would say, ‘We sold a house to a millennial and then we sold a house to their parents.’”

It all started in the 1960s, when baby boomers became the first generation to routinely move hundreds of miles for school or work, said Andrew Carle, who oversees a program in senior-living administration at Georgetown University. For much of the 20th century, parents in the U.S. raised their children close to where they grew up—at least those parents who hadn’t emigrated to escape persecution or dire poverty.

“We went away to college, we moved multiple times for our jobs,” said Carle, who is in his mid-60s. “We could move anywhere but we are choosing to move closer to our adult kids.”

A new job and lower home prices prompted Alonzo Emery ’s daughter and son-in-law to move with their two children from San Mateo, Calif., to the Austin area a decade ago. Emery, a retired vocational training program administrator, and his wife, Mary, followed two years later after a third grandchild was born needing medical treatment.

Texas’ culture and weather have been an adjustment for the couple, and they miss their son and son-in-law in California. But Emery, a former Arizona State University running back, gets to attend his 14-year-old grandson’s football games. He and Mary are learning dance moves from their 11-year-old granddaughter. “She’s put us on video,” said Emery, 73.

Moves like the Emerys’ have wide-ranging impacts for home building and even city budgets. The nation’s fastest-growing city is now the Austin suburb of Georgetown, Texas, where almost a fifth of the population lives in a single massive age-restricted housing community. This year, the city nabbed a triple-A bond rating.

The median age of repeat home buyers hit 61 this year, a four-decade high, according to the National Association of Realtors, with the most commonly cited reason for selling being the desire to be closer to family or friends. Twenty-one of last year’s 50 fastest-selling planned communities have built or are building age-restricted areas inside larger all-ages developments, according to consultant RCLCO.

Nashville, Tenn.-based Kinloch Partners, which rents out homes near large corporate offices in the Southeast, estimates that the retired parents of newly transferred executives live in around 10% of them.

“They have a guaranteed income. They don’t trash the house,” said Chief Executive Bruce McNeilage. Some pay a year of rent upfront.

For young families, the value of a nearby grandparent keeps growing. Child-care costs are up 6.4% over the past two years to a median monthly price of around $1,500 in major metro areas. The share of mothers with a child under 3 who work has risen over the past three decades to 66% last year from 58%, according to the Labor Department.

Gillian Held and her husband, Jordan, employ a nanny three days a week. Her parents take Tuesdays and Wednesdays, staying overnight at the couple’s home, where they have their own bedroom.

“We fully talk to them like they’re employees,” said Gillian, 32. “It’s an ongoing joke that when they want to go on vacation they have to take PTO.”

David and Cynthia Held , both 62, had long toyed with the idea of retiring to Florida. New Jersey’s cold winters and high living costs were wearing on them. Then in 2019, the Helds lost their son, Gillian’s brother Craig, to suicide at age 30. Living close to their daughter came to feel even more important.

By the end of 2022, Gillian and Jordan were married and talking about becoming parents. Home values where the Helds lived in Monmouth County, N.J., had shot up 27% over the previous two years, according to Zillow . David and Cynthia sold their house and moved in with Gillian in October 2023. A few months later, Cynthia fell in love with a place in a 55-and-over community in Port St. Lucie. They paid in cash.

The economics can be tougher for would-be baby chasers with grandchildren in the Northeast. Retired professor and author Michelle Herman and her husband are planning a move from Columbus, Ohio, to the New York City area to help raise future grandchildren. “Financially it makes zero sense,” she said.

There can be other snags. Herman contributes to a parenting advice column and recently counselled families considering a move to come to a clear understanding about how much child care the grandparents will provide. Grandparents should also do their own soul-searching before they relocate and have realistic expectations, she said.

“I actually have known people who’ve done this and came back because it didn’t work out,” Herman said.

—Nicole Friedman contributed to this article.

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