Christie’s to Offer Two Landscapes by Lucian Freud in London
3 min
Two landscapes by Lucian Freud previously in the collection of British businessman and philanthropist Simon Sainsbury will be offered next month at Christie’s in London, the auction house announced Friday.
Separately, Sotheby’s released additional highlights of its upcoming Masters Week in New York, including an over 400-year-old Anthony Van Dyke painting, A Sketch for Saint Jerome, that was found in a farm shed in the late 20th century in New York. The auction house expects to bring in more than US$100 million from across nine sales running now until early February.
Christie’s sale of the two Freud landscapes will take place on the evening of Feb. 28 in London. Offered by the same private collector, both paintings were formerly in the collection of Sainsbury, whose family founded Sainsbury’s, the second largest chain of supermarkets in the U.K. Upon his death in 2006 at the age of 76, Sainsbury bequeathed the majority of his art collection, estimated to be worth £100 million at the time, to the National Gallery and the Tate Gallery in London.
One of the paintings, Scillonian Beachscape from 1945-46, will make its first public appearance on the market since 1974 and has a presale estimate of between £3.5 million and £5.5 million (US$4.3 million and US$6.8 million). Depicting a dreamlike coastal scene in lush, sun-drenched color, it was inspired by Freud’s visit to the Isles of Scilly and directly based on his drawing, Untitled, which sold for £138,600 at Christie’s in London last October.
The other, Garden from the Window, depicts the artist’s garden at 138 Kensington Church Street. It was first unveiled at the Tate in London in 2002, and its debut auction at Christie’s is expected to fetch £2.5 million and £3.5 million.
“Lucian Freud, revered as one of the greatest painters of the 20th century, continually returned to the natural world as a source of rich inspiration throughout his career. This lifelong fascination is perfectly encapsulated in these two exquisite paintings which offer viewers insight into both his early and late life,” Tessa Lord, acting head of department of Post-War and contemporary art at Christie’s London, said in a news release.
The National Gallery in London has recently organized a centenary retrospective “Lucian Freud: New Perspectives,” which will move to Thyssen-Bornemisza Museo Nacional in Madrid in February.
Freud’s auction record was set by his painting large interior w11 (after watteau), 1981-83, from the collection of Paul Allen. It sold for US$86.3 million last November at Christie’s in New York.
Meanshile, t Sotheby’s, its first major sale of the year will be its Masters Week in New York, which is expected to bring in more than US$100 million across nine sales that will run through early February.
The sales will be led by 10 Baroque masterpieces from the collection of Mark Fisch, a real estate developer and a trustee of the Metropolitan Museum of Art in New York, and his ex-wife, Rachel Davidson, a former New Jersey judge. The two filed for divorce last year. Highlighting the collection, to be auctioned next Thursday, is a 1609 Rubens masterpiece, Salome Presented with The Severed Head of Saint John the Baptist, with an estimate of between US$25 million and US$35 million.
The sales also include The One, a new format sale featuring one-of-a-kind objects throughout history. This sale will be led by Kobe Bryant’s Lakers jersey with a high estimate of US$7 million, and a Princess Diana’s dress, with a presale estimate between US$80,000 and US$120,000.
A Sketch for Saint Jerome from 1615-18 by Anthony Van Dyck that was discovered in the late 20th century in a farm shed in Kinderhook, N.Y., will be offered in the region of US$2 million and US$3 million. A portion of proceeds from the sale will benefit the Albert B. Roberts Foundation, which supports artists and other creatives.
Roberts, a collector of “lost” pieces, purchased the sketch for US$600. Soon afterwards, the sketch was recognized by art historian Susan J. Barnes as a “surprisingly well preserved” autograph work by Van Dyck, according to Sotheby’s.
He died in August 2021 at the age of 89.
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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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