The Biggest Mistakes People Make With Their Wills
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The Biggest Mistakes People Make With Their Wills

The obvious one isn’t doing a will at all. But that is just one of many errors people make—often with potentially serious consequences.

By CHERYL WINOKUR MUNK
Fri, Feb 17, 2023 8:49amGrey Clock 5 min

Everybody knows they should have a will, and not having one can leave heirs with a big mess. But just having a will isn’t enough. Big mistakes are common—from leaving decisions to the last minute and failing to update documents to mismatching beneficiary designations.

What follows are some of the biggest mistakes people make when doing their wills, according to attorneys who have seen these missteps far too often.

Procrastinating

Of course, thinking about death is uncomfortable, and planning for it can be costly. But to have a say in the distribution of your assets after you die—what each heir will receive, what charities to support and other matters—timely planning is critical. Yet many people either don’t create the proper documents, or they attempt to cobble something together on their deathbed. These last-minute efforts can lead to a host of problems for the simple reason that decisions made in haste leave less time to think through the multiple what-ifs.

Last-minute preparation also raises the likelihood that a disgruntled heir could claim the will was made under duress or in a diminished capacity, says Rebecca Hedaya-Heller, founding partner of Heller & Associates, a law firm in North Woodmere, N.Y.

Another reason not to procrastinate: A document known as a revocable trust, or living trust, can make it possible to distribute assets while you are still living and can be useful if you become incapacitated. A living trust can be especially important in states such as New York, California and Florida that have more restrictive probate laws. Living trusts have other uses as well, such as keeping things out of the public record since trusts are private documents, Ms. Hedaya-Heller says. This means that a family’s affairs can be kept private, including the value of the estate and to whom assets have been given.

Dropping large inheritances in heirs’ laps

When leaving significant money to heirs, people sometimes choose to bequeath it outright, all at once. This can be a mistake, says David Handler, a partner in the trusts and estates practice group at Kirkland & Ellis LLP. Children in their early 20s or 30s, or even later in life, may not be able to handle such windfalls. Giving them unfettered access to it, he says, can be imprudent.

A better option, Mr. Handler says, is to leave the assets to a trust to manage the assets after death. Such trusts also can offer tax and asset-protection advantages to the beneficiaries, he says. For example, they can be designed so that a divorcing spouse or creditor from a lawsuit cannot reach the trust assets. A trust also can be structured to avoid additional estate tax when the assets pass to siblings or children upon the beneficiary’s death, regardless of the trust’s value or the beneficiary’s net worth.

Forgetting digital assets

As more people invest in cryptocurrency and NFTs, it becomes critical to ensure someone will have the ability to navigate their digital wallets once they pass away, says Jonathan Forster, partner at Weinstock Manion in Los Angeles. “If you have a digital wallet and no one has that information, the crypto is lost,” he says.

Be sure to keep good records of your cryptocurrency and leave heirs instructions about how to access this information. Don’t store private keys—strings of letters and numbers that allow access to digital assets—on an old, offline computer, for instance, because the hardware could be inadvertently thrown out and the assets lost. Instead, consider using a special device known as a hardware wallet to manage your crypto assets, and make sure heirs know how to find and access the device.

Additionally, people should not include their passwords or private keys in a will itself, which becomes public through the probate process.

Not making regular updates

Write it and forget it is a common theme for wills. But the documents should be updated every five to 10 years because intentions and circumstances can change over time. “Life happens,” says J. Whitfield Wilks, director at Novare Capital Management, an investment management firm in Charlotte, N.C.

People who have made out their wills years earlier can change their minds about who should get what and which charities to support. Appropriate guardians for children, too, can change over time, which is why periodic reviews are critical. For instance, says Mr. Wilks, 20 years after a will is drawn up, a sibling who was named as executor could be dead or estranged, in a nursing home or otherwise incapacitated.

Mismatching beneficiaries

Even if they have an updated will or living trust, many people forget to update their beneficiary designations on other things—such as pension accounts, individual retirement accounts and other investments, and life-insurance policies. Because a beneficiary designation generally supersedes the terms of a will, there can be unintended consequences. These can include leaving substantial sums of money to an ex-spouse or failing to leave specific assets to a child or grandchild since an original designation may have been made before they were born. “It’s an ongoing process to make sure these things match and your wishes will be implemented,” Mr. Wilks says.

Not allowing for flexibility

Sometimes wills or living trusts are worded in ways that cause unintended consequences, such as leaving more or less money than desired to an individual or charity.

For example, Mr. Handler says, imagine a man with an estate worth $10 million whose will says to leave $1 million to charity and the rest to his children. Under that scenario, the children would get $9 million. But if the estate’s value drops and is now worth only $4 million, the charity would still receive $1 million and the children only $3 million.

People also have to be careful when leaving a particular stock or bank account to a particular child, he says. When the person dies, if the asset is no longer owned or has dropped precipitously in value, that child could unintentionally be left with nothing or significantly less than their siblings, he says.

Not heading off conflicts

Conflicts between heirs tend to happen more often when they are surprised by the contents of wills or trusts, says Mr. Forster, which is why the Los Angeles attorney says he recommends clients be upfront with beneficiaries about their intentions. While these conversations can be hard, having them in advance mitigates the risk of resentment, and possibly litigation, among heirs after a loved one dies.

Mr. Forster offers the example of a mother who was planning to leave a significantly larger share of her estate to her daughter, a teacher. This move would have left her son, a doctor, mostly disinherited. Although the mother loved both her children and was on good terms with both, her estate-planning decisions were based on their respective financials.

Acting on Mr. Forster’s advice, she spoke to the son before drafting the estate plan and was surprised to hear he felt snubbed and unloved, which wasn’t her intent. As a result, she amended her plans, still leaving the daughter more money than the son, but to a lesser extent.

Because the family discussed the situation, the son won’t “have to spend the rest of his life wondering if he did something wrong or whether his mom didn’t love him as much,” Mr. Forster says. “At least they got to have that conversation.”



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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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