Elton John Fans Pay US$8 Million for His Treasures at Auction
3 min
The aptly named “opening night” at Christie’s for the eclectic mix of art, photography, costumes, and objects that filled Elton John’s Atlanta home drew a crowd of bidding fans who snapped up everything on offer for a total of US$8 million.
Among items the lucky winners snagged was a collector’s edition of a pinball machine signed by John that plays 16 full-length studio master tracks of his hit songs and features interactive LED lights and LCD displays; a 1990 Bentley Continental two-door convertible; a pair of silver leather platform boots; and silver rocket-shaped cocktail shakers.
Many of the collectible treasures in the 49-lot sale sold above estimates, in total achieving 155% of the low-end of anticipated prices. According to Christie’s, 40% of bidders and buyers were new to Christie’s.
Before the sale, the auction house shared that a heart-shaped collage by Damien Hirst that was made for John and his husband, David Furnish—expected to fetch up to US$450,000—would be withdrawn as the family decided to retain the piece.
The biggest sale of the evening was a painting by Banksy that John acquired directly from the elusive British graffiti artist. Flower Thrower Triptych , 2017, sold for US$1.55 million, US$1.925 million with fees.
Wednesday’s evening auction was the first of two live and six online sales that are filled with a total of nearly 900 items that spoke to John’s passions, style, and vision.
Courtesy Christie’s Images Ltd. 2024
Many lots sparked brisk back-and-forth bidding between collectors in the packed saleroom, on the phone with specialists, and online. The auction house generated excitement from the get-go with a pair of 1975 prescription Sir Winston Eyeware sunglasses that sold for a hammer price of US$18,000, six times a presale high estimate. With fees, the sunglasses sold for US$22,680.
That opening lot was followed by the sale of a pair of Elizabeth II silver cocktail shakers shaped like rockets, made by Mark of Theo Fennell in London in 1993, that fetched US$40,000, four times the high estimate, after vigorous bidding. With fees, the shakers cost US$50,400.
Then came a pair of silver leather tall platform boots, circa 1971, that sold for US$70,000—seven times the high estimate, and US$94,500 with fees.
Glittery watches and jewellery also stole the show. An “exuberant and rare” 18K gold, diamond, and yellow sapphire-set automatic chronograph Rolex with a leopard-print dial sold for US$140,000, more than double a high estimate. The total with fees was US$176,500.
A Cartier “crash” model watch from 1991, sold for US$220,000, above a US$100,000 high estimate, or US$227,200 with fees.
Courtesy Christie’s Images Ltd. 2024
The sale also featured photography from Robert Mapplethorpe, Richard Avedon, Helmut Newton, Andy Warhol, and Cindy Sherman, among others. There was also art by Keith Haring, Sol Lewitt, and Julian Schnabel.
John’s conservatory grand piano, a Yamaha Model C6F, circa 1992, that had taken centre stage in his home sold for US$160,000, more than three times a high estimate; with fees, it fetched US$201,600.
The evening auction ended with the sale of John’s 1990 Bentley continental two-door convertible for US$350,000 (10 times the high estimate), or US$441,00 with fees, and the sale of the pinball machine, which fetched US$55,000, or US$69,300 with fees.
Elton John fans have plenty of opportunities to bid again on the singer’s collectibles, including more costumes, watches, fine and decorative arts, and jewellery. Another 281 items will be sold at a live sale at Christie’s on Thursday, and there are six online auctions continuing through next week.
One online sale features John’s friendship with Versace, and including couture, decorative arts, photographs, and jewellery; another titled “Honky Château” celebrates the singer’s aesthetic with brightly coloured art glass, painting, and sculpture.
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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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