Warren Buffett Donates Another $1 Billion. He Has Estate-Planning Advice for Everyone.
Four family foundations will receive shares worth more than $1 billion
2 min
At age 94, Warren Buffett is reflecting on life, wealth and mortality.
The legendary investor’s company, Berkshire Hathaway , said Monday that Buffett will again give a portion of his Berkshire shares, in this case worth about $1.15 billion, to four family foundations. The donations leave him holding 206,363 Class A shares worth about $148 billion.
As he did last November, Buffett is converting 1,600 Class A shares into 2.4 million Class B shares, which hold less voting rights, before donating them to the Susan Thompson Buffett Foundation, named for his late first wife, and to foundations led by his children.
The Thanksgiving-time donations supplement annual gifts to the four foundations, as well as to the Bill & Melinda Gates Foundation, that Buffett has made since 2006, when he unveiled plans to make major gifts throughout his lifetime.
In a message accompanying Monday’s news of the donations, Buffett discussed his plans for his three children, Susie, Howard and Peter Buffett , to distribute the Berkshire shares he owns at his death. Buffett told The Wall Street Journal in June that the Gates Foundation had no money coming after he dies.
The three Buffett children, now in their 60s and 70s, will need to decide unanimously what philanthropic purposes their father’s money serves. Buffett said in his new comments to shareholders that the requirement will give his children some degree of protection from an expected bombardment of requests.
“Those who can distribute huge sums are forever regarded as ‘targets of opportunity,’ ” Buffett wrote. “This unpleasant reality comes with the territory. Hence, the ‘unanimous decision’ provision. That restriction enables an immediate and final reply to grant-seekers: ‘It’s not something that would ever receive my brother’s consent.’ And that answer will improve the lives of my children.”
Buffett wrote that while potential successor trustees have been chosen, he hopes that Susie, Howard and Peter Buffett are themselves the ones to distribute all of his assets.
“I know the three well and trust them completely,” he wrote.
Buffett’s huge position in Berkshire means a rapid selling of his stock could jolt the share price. He wrote that his children should distribute his holdings gradually, and in a manner that “in no way betrays the exceptional trust Berkshire shareholders bestowed upon Charlie Munger and me.”
Buffett offered a suggestion for all parents, wealthy or not: “When your children are mature, have them read your will before you sign it.” He said it is better for children to be able to ask questions when a parent is still able to respond.
In discussing his fortune, Buffett, ever the teacher, highlighted the importance of compounding, especially after many years of investing.
“The real action from compounding takes place in the final twenty years of a lifetime,” he wrote. “By not stepping on any banana peels, I now remain in circulation at 94 with huge sums in savings—call these units of deferred consumption—that can be passed along to others who were given a very short straw at birth.” undefined undefined Berkshire’s Class B shares have rallied 34% this year, compared with a 26% gain by the S&P 500. Earlier this year the company joined a small club of U.S. businesses worth more than $1 trillion.
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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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