How Families Can Beat 7% Mortgage Rates and Lower Their Tax Bills

Happy is the family whose members—parents, grandparents and grown children—trust each other enough to cooperate on shared goals, especially financial ones. When that is truly the case, Uncle Sam’s tax rules can help as well.

This matters especially now that mortgage rates are above 7%, and many families are looking for ways to help younger members. If the elders have resources and are confident younger ones can cooperate, a family loan could make homeownership possible while providing the elders with a useful income stream.

Other strategies can actually lower taxes, such as when funding 529 plans or Roth IRAs, or when someone inherits a traditional IRA with required withdrawals larger than they will need.

Here are three strategies useful for functional families.

Intrafamily loans

It is perfectly legal for families to lend money to a relative for a down payment or even a private mortgage.

But it is important not to cut corners, says Ryan McKeown, a CPA with Modern Wealth Enhancement in Minnesota. If the loan is for a down payment, be honest with the mortgage provider and have a formal agreement. The lender owes tax on the interest payments received.

If the loan is for a private mortgage, both sides should have legal representation with a formal written agreement, including payment terms. The lender owes tax on the interest, and the borrower often can deduct it if he or she itemizes.

To avoid IRS trouble, the interest rate shouldn’t be lower than the agency’s Applicable Federal Rate at the time of the loan. Currently that is about 5% for loans longer than nine years; about 4.5% for loans three to nine years; and about 4% for loans three years or less. Currently, traditional mortgage rates are generally above 7%.

In addition, the lender could use the $19,000 annual gift-tax exemption (described below) to forgive some or all of the interest or principal annually. If both lenders and borrowers are married, that is up to $76,000 a year. There is no tax for the borrower on such forgiveness, because it is from a gift.

If you’re going this route, McKeown advises against having a fixed plan to forgive the debt. Instead, do it in one-off letters specifying the amount—and keep careful records. Otherwise the IRS might try to treat the loan as a taxable gift.

Asset gifts

Powerful tax-saving moves for families often use gift-tax provisions. Under current law, anyone can give anyone else up to $19,000 of assets annually, free of gift tax. That means a married couple with three grandchildren could give them a total of $114,000 in 2026.

The gifts can be cash or other assets, like stock. For noncash gifts, the cost basis—which is the starting point for measuring taxable gain after a sale—“carries over” to the recipient. So if someone buys $1,000 of stock and gives it away when it is worth $5,000, the recipient’s cost basis is $1,000. If the recipient later sells the shares for $8,000, the taxable gain is $7,000.

Here’s an example showing how gifts could save a family taxes. Grandma is a widow of modest means, while her child and spouse have prospered. The couple has two children, and they want to contribute $5,000 to a 529 college-savings plan for each—but they need to sell stock to do it. Their tax rate on the sale would be 18.8%, and they would need to sell about $11,000 of stock.

However, Grandma’s federal tax rate on the stock sale is 0%. If the couple gives $10,000 of shares to Grandma, she could sell them, pay no tax, and fund the grandchildren’s 529 plans. This saves about $1,000 of tax.

These moves are legal, and they could be used in other ways, such as to help a young person fund a Roth IRA.

But trust among family members is essential: Under the law, givers can’t put conditions on a gift. Grandma could use her stock proceeds to take a cruise, but she makes 529 contributions instead.

Mark Sellner, a retired tax attorney and CPA living in Sarasota, Fla., uses this strategy. His children sell stock he gives them and fund 529 plans for his grandchildren.

The family’s tax savings aren’t huge, but he likes other benefits. The sales by his children don’t boost his adjusted gross income, which in turn could raise his Medicare Irmaa premiums or his 3.8% surtax on net investment income.

Sellner doesn’t worry about his children using the funds for another purpose.

“There can’t be any strings attached to gifts. Of course, it is up to us to decide whether to make them in the future,” he says.

Two caveats: The “kiddie tax” applies to most children under age 24, and it is levied at the parents’ rate on investment income above $2,700 in 2026. Consider this before making gifts to a young person.

Investors who give away stock also forgo the step-up, an important provision that exempts assets held at death from capital-gains tax.

Sellner knows he’s losing a step-up, but says, “The children could use a little more now. Why should they wait 20 years to get it?”

Disclaimers

A disclaimer is a highly useful strategy in which one heir renounces an inheritance in favor of another heir. Assuming family members cooperate, this can save taxes.

Here’s one example. Dad died and had a large traditional IRA that he left to Mom. She has enough assets and income to cover her expenses, and she lives in a state with a stiff estate tax. The inherited IRA would put her estate over the threshold.

Also surviving are three young-adult children. If Mom disclaims all or part of Dad’s IRA within nine months of his death, that amount could go directly to the children. They will have 10 years to empty the account, and the family as a whole will likely save estate and income taxes.

Disclaimers have many key details, especially regarding beneficiary documents. Although heirs have great freedom in choosing what assets to disclaim, the rules about who gets disclaimed property are rigid. It is best if the original owner names tiers of heirs so that if one disclaims, the next recipient is clear.

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