Well Into Adulthood and Still Getting Money From Their Parents
Nearly 60% of parents provide financial help to their adult kids, a new study finds
4 min
Parents have always supported their children into adulthood, from funding weddings to buying a home. Now the financial umbilical cord extends much later into adulthood.
About 59% of parents said they helped their young adult children financially in the past year, according to a report released Thursday by the Pew Research Center that focused on adults under age 35. (This question hadn’t been asked in prior surveys.) More young adults are also living with their parents. Among adults under age 25, 57% live with their parents, up from 53% in 1993.
Parental support is continuing later in life because younger people now take longer to reach many adult milestones—and getting there is more expensive than it has been for past generations, economists and researchers said. There is also a larger wealth gap between older Americans and younger ones, giving some parents more means and reason to help. In short, adulthood no longer means moving off the parental payroll.
“That transition has gotten later and later, for a lot of different reasons. Now it’s age 25, 30, 35, 40,” said Sarah Behr, founder of Simplify Financial Planning in San Francisco.
Kami Loukipoudis, a 39-year-old director of design, and husband Adam Stojanik, a 39-year-old high-school teacher, knew they would need parental assistance to buy in New York’s expensive home market.
“We could pay a mortgage, but that down payment was the absolute crusher,” Stojanik said. “The idea of trying to save up on our own—as long as we were paying rents in NY, would’ve taken 300 years.”
Loukipoudis’s mother gave them the money for a 10% down payment on a two-bedroom apartment in the New York borough of Queens.
The young-adult allowance
Adult children aren’t necessarily getting larger checks from their parents, but they are staying on the parental payroll for longer than previous generations, according to Marla Ripoll, professor of economics at the University of Pittsburgh who studied the trend by analysing payments from parents to adult children over a 20-year span.
Ripoll found that 14% of adult children receive a transfer of money from their parents at least once in any given year, and roughly half get financial help at some point within that period. Those rates have been stable for years. What has changed is that the transfers now continue for much longer, she found. This longer-term help might be a drag on social mobility, as it becomes even harder for young people from lower-income families to catch up, researchers said.
Of the young adult children who said they received financial help from a parent in the past year, most said they put it toward day-to-day household expenses, such as phone bills and subscriptions to streaming services like Netflix, according to the Pew survey.
The amount of money and the frequency of help varies by age; those on the older end of the 18-to-34 cohort are far likelier to say they are completely financially independent from their parents compared with younger adult children, as many in the latter group are completing their education. Nearly a third of young adult children between the ages of 30 and 34 say they still get parental help.
Heather McAfee, a 33-year-old physical therapist in Austin, Texas, said she lived at home between 2019 and 2021; otherwise she wouldn’t have been able to make progress paying down her student loans while rent prices in her area remained so high. The plan worked—she has since reduced her student-debt balance from $83,000 to $15,000.
“It helped tremendously,” she said. “I didn’t have to take out more loans to pay for apartment living or anything like that. That stress was gone.”
Setting limits on financial help
A little more than half of parents surveyed said that having their adult children home brought them closer together or improved their relationship, but nearly 20% said it dented their personal finances.
Financial advisers often find themselves in the tricky position of speaking to both ends of the equation: adult children who need assistance and the parents determined to help children well into middle age, within limits.
Whereas previous generations would step into a greater sense of financial independence in their early 20s, young adult children today are often unable to reach similar markers of such independence—living on their own or buying their first home, for example—without greater financial resources.
Families typically don’t set concrete rules around when financial help will happen and what the money is used for, which can result in surprises down the road, Behr said.
In one case, Behr’s clients received the down payment they needed to purchase a condo from a generous mother-in-law. Years later, that same mother-in-law told them she expected a payout once the couple sold the home.
The hand-me-down payment
Down-payment help from parents—a given for many first-time home buyers—is growing thanks to higher home prices and elevated mortgage rates.
About a fifth of first-time home buyers said they got help from a relative or friend when pulling together the money needed for a down payment, according to a 2023 survey of home buyers and sellers from the National Association of Realtors. And 38% of home buyers under age 30 received help with the down payment from their parents, according to a survey this spring by Redfin.
Wealthy families often go further than helping with the down payment. They become a true bank of mom and dad and write a mortgage. The Internal Revenue Service sets minimum levels of interest for such loans, which remain significantly cheaper than current mortgage rates.
Timothy Burke, chief executive at National Family Mortgage, which facilitates such loans, said parents are often frustrated on behalf of their house-hunting children. High interest rates and the cutthroat housing market are holding their children back from reaching a milestone the parents themselves were more easily able to access.
Mei Chao, a 41-year-old stay-at-home mom, and her husband, William Chao, a 44-year-old information-technology specialist, bought their first house as a couple in 2017. They relied on financial help from her husband’s two sisters and his mother to help them bridge a gap in their house-buying timeline. While they waited to sell William’s Manhattan condo, they used the money from the family to purchase the new house in Queens.
The structure of the agreements got tricky. After selling the condo in Manhattan, Mei and her husband were able to repay his sisters in full. But they didn’t have enough money left over from the sale to do the same for Mei’s mother-in-law. So they kept the mother-in-law’s name on the deed to the house—a concession Mei said they were both more than happy to make.
“Ultimately, it all worked out. I’m glad his mother pushed us,” Mei said. “Without her help, I could not say we would have this home.”
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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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