Sylvester Stallone Sells His Knockout Watch Collection, Including the Most Valuable Modern Timepiece Sold in Sotheby’s History
3 min
Sylvester Stallone’s legacy as one of the most notable watch collectors of the 21st century was cemented in New York this week, as 11 of the actor’s timepieces sold for US$6.7 million—beating its presale estimate—at Sotheby’s.
The highlight of the sale was the Academy Award winner’s Patek Philippe Grandmaster Chime, which sold for US$5.4 million (surpassing its pre-sale estimate of US$2.5 million to US$5 million), a result that set a pair of benchmarks for the auctioneer. It’s the third-most valuable wristwatch sold in Sotheby’s history, and marks a record for a modern watch sold by Sotheby’s, topping the US$4.5 million sale of a Richard Mille Reference RM53-02 last October.
“The sale of the Patek Philippe Grandmaster Chime was an unrepeatable celebration, not only of a masterpiece by the most revered Swiss-watchmakers of technical excellence, but also of the legendary icon that is Sylvester Stallone, who has been a deeply influential and admired collector for many decades,” Geoff Hess, Sotheby’s head of watches, Americas, said in a statement.
On Wednesday, more than 100 attendees filled Sotheby’s saleroom, and once the Grandmaster Chime (Reference 6300G-010) hit the block, a four-minute bidding war ensued among five bidders, according to the auction house. In the end, the watch was sold to a private collector from Asia. ( Stallone paid US$2.2 million for the watch in 2021. )
Sotheby’s
“To feel the pulse of collectors racing with excitement in pursuit of absolute top-caliber material was tremendous, and an homage to the art of collecting at the highest level,” Hess said.
Considered to be a holy grail among followers of haute horology, the Grandmaster Chime was the result of a project initiated by Philippe Stern in 2007 to create the most intricate wristwatch in the brand’s history. The development, production, and assembly spanned 100,000 hours, according to Sotheby’s.
Stallone’s Grandmaster Chime was the first example of the model to appear at auction, aside from one specifically created for, and sold at, a Christie’s charity auction in November 2019 for CHF 31 million (US$35 million) . It remains the highest price for a watch ever sold at auction.
Hess himself went home with one of Stallone’s watches, as the winner of a five-minute bidding battle for the actor’s olive green Patek Philippe Nautilus. The 2021 stainless steel watch featuring an olive-green dial and diamond-set bezel sold for US$492,000, exceeding its pre-sale estimate of US$400,000.
Sotheby’s
Stallone’s collection, assembled over the course of more than 20 years, also included timepieces from Rolex, Audemars Piguet, and Piaget, as well as unique and screen-worn watches from Panerai.
Other highlights included the actor’s Audemars Piguet Royal Oak Tourbillon (Reference 26730OR.OO.1320OR.01)—a gorgeous piece created for the 50th anniversary of the Swiss watchmaker’s Royal Oak collection in 2022. It sold for US$228,000, exceeding its pre-sale high estimate of US$200,000; and a Panerai Luminor Submersible (Reference PAM00382) worn by Stallone in the 2012 film The Expendables 2 that sold to an online buyer for US$96,000, blowing past its pre-sale estimate of US$30,000 to US$60,000.
“I enjoy the collecting process like so many others in this passionate community, who don’t just see watches as an accessory, but admire them for their history, craftsmanship, artistry—but most importantly—how they make them feel,” Stallone said in a statement when the sale was announced. “Looking at these watches, I feel truly lucky to have owned them; they serve as a reminder that hard work pays off.”
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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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