Take a Cue From Warren Buffett: Be Flexible With Philanthropic Strategies
4 min
Late last year, Warren Buffett announced that his fortune will be directed to a charitable trust managed by his three children when he dies.
The announcement, made via Berkshire Hathaway where Buffett, 93, is chairman and CEO, was the first indication of how the famous investor planned to distribute his assets upon his death.
The fact Buffett waited to make these plans until he was 93—and his children were between the ages of 65 and 70—is not necessarily unusual for very wealthy people whose estate plans, and philanthropic giving strategies, constantly evolve, according to wealth management experts.
“We tell our clients all the time, you want to try to have as much flexibility in your future planning as possible because you just don’t know how situations are going to change,” says Paul Karger, co-founder and managing director of wealth advisory firm TwinFocus in Boston.
Buffett, for instance, made a lifetime commitment in 2006 to distribute annual grants to five foundations: the Bill and Melinda Gates Foundation, the Susan Thompson Buffett Foundation (named for his late wife), and foundations run by each of children. Since then, he has distributed Berkshire B shares valued at about US$55 billion when they were received to these organizations, Buffett said in a June 28 statement issued by Berkshire Hathaway. The Bill and Melinda Gates Foundation—where Buffett served as a board member until Gates and French Gates announced their divorce in 2021—had received US$39.3 billion through 2023, the organization’s website said.
Annual gifts to those foundations will continue until Buffett dies and his remaining assets are transferred to the charitable trust. In the June 28 statement, Buffett said his current holdings of Berkshire A shares (which he converts to B shares to make the charitable contributions) “are worth about US$127 billion, roughly 99.5% of my net worth.”
When Buffett announced his intentions for the distribution of this fortune, he said his children “were not fully prepared” in 2006 to serve as executors of his will and trustees of the charitable trust “but they are now.”
Recognising that things change and that “it’s impossible to prepare for every scenario,” is a lesson that Karger often preaches.
Currently, Karger’s firm is working with a billionaire family that wants to give all their money away to charity. “They don’t want their kids to have any,” Karger says.
So TwinFocus is trying to introduce planning techniques to “baby-step” this family’s intentions, “because some of those decisions are not reversible,” he says. “There are seasons to our lives, and we think about life differently in different seasons. You don’t want to live with a mistake that you can’t fix, especially with this level of wealth.”
Justin Flach, managing director for wealth strategy in the San Diego office of Ascent Private Capital Management, the ultra-high-net-worth division of U.S. Bank Wealth Management, says Buffett’s strategy of providing gifts to his children’s foundations since 2006 and now deciding to create a charitable trust funded by his assets that they will manage, is an established approach.
“That’s something you see very commonly with families is that as the family starts to dip its toe into philanthropy, they need to learn together and train together and make sure they’re aligned about how they want to proceed,” Flach says. “Something like this isn’t uncommon because it just shows a family adapting over time.”
Flach also encourages ultra-rich families to begin giving away wealth during their lifetime, as Buffett has done, and he sees far more of them taking this approach today. By doing so, philanthropists can experience “their full empathy” during their lifetime. It also means they can find out if their charitable strategy works or not.
“It allows them to assess [whether] the people they’re working with are the right partners,” Flach says. It also allows them to see whether those they hope to hand their charitable assets off to are “trained and ready to take over when they’re gone.”
A charitable trust—the structure that Buffett is using to absorb his wealth—is an “irrevocable” vehicle for tax purposes, meaning, the assets in the trust can’t be taken out for anything other than distributing funds to nonprofits.
In Buffett’s case, his three children “must act unanimously” when deciding where the trust’s assets will be granted, he said. They also must designate successors. Buffett indicated he isn’t placing more rules on the trust because “wise trustees above ground are preferable to any strictures written by someone long gone.”
He did say, however, that the trust will be spent down “after a decade or so,” and will have a “lean staff.”
Setting up a charitable trust, such as the one Buffett’s children will direct, serves two purposes. It “helps them fund the family’s philanthropy long after the family members have passed,” Flach says, and “there’s an estate tax deduction for gifts to charity at death. That can be a very valuable way to reduce your estate taxes.”
The trust structure is similar to a private foundation, although only a trust can be created through a will, he says. Both vehicles are treated the same for tax purposes and have the same disclosure requirements, meaning they have to tell the IRS where the money is granted and they have to distribute at least 5% of assets each year to qualified nonprofits.
Though Buffett has chosen to have his trust spent down, a family could instead create a perpetual trust that would live on through generations, Flach says.
For very wealthy families, it’s important to regularly review estate plans, including plans for charitable giving. At least every five years, documents should be reviewed to ensure past choices still make sense and can be amended as needed, Karger says.
The super wealthy, those with assets of US$100 million or more, should consider using their current lifetime gift exclusion—currently US$13.1 million per person—to create an irrevocable trust. That would allow an individual “to move assets outside of their estate [and] let them grow for the next generation estate tax exempt,” he says.
Flach agrees wealthy families should regularly assess their estate and philanthropic planning, which, depending on a family’s situation or desire, could be annually or every few years.
“Going back through and making sure that you’d make the same decisions today
that you made when you created the plan, based on the facts of what they are today,
is a really good exercise,” Flach says. “It allows you to make sure that when ultimately you do pass on, or when you’re ultimately giving to a philanthropic cause, that your wishes are truly being carried out, as opposed to what your wishes may have been 20, 30, 40 years ago.”
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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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