Original ‘Harry Potter’ Illustration Could Fetch US$600,000, the Priciest Item Ever Sold From the Hit Series
3 min
An original watercolour illustration for the cover of Harry Potter and the Philosopher’s Stone, 1997 — the first book in J.K. Rowling’s hit series—could sell for US$600,000 at a Sotheby’s auction this summer.
The illustration is headlining a June 26 sale in New York that will also feature big-ticket items from the collection of the late Dr. Rodney P. Swantko, a surgeon and collector from Indiana, including manuscripts by poet Edgar Allan Poe and Arthur Conan Doyle, author of the Sherlock Holmes books
The Harry Potter illustration, which introduced the young wizard character to the world, is expected to sell for between US$400,000 to US$600,000, which would make it the highest-priced item ever sold related to the Harry Potter world. This is the second time the illustration has been sold, however—it was on the auction block at Sotheby’s in London in 2001, where it achieved £85,750 (US$107,316).
The artist of the illustration, Thomas Taylor, was 23 years old at the time and a graduate student working at a children’s bookshop. According to Sotheby’s, Taylor took a “professional commission from an unknown author to visualise a unique wizarding world,” Sotheby’s said in a news release. He depicted Harry Potter boarding the train to Hogwarts on platform9 ¾ platform, and the illustration became the “universal image” of the Harry Potter series, Sotheby’s said.
“It is exciting to see the painting that marks the very start of my career, decades later and as bright as ever! It takes me back to the experience of reading Harry Potter for the first time—one of the first people in the world to do so—and the process of creating what is now an iconic image,” Taylor said in the release.
Meanwhile, to commemorate the 175th anniversary of Edgar Allan Poe’s For Annie , 1849, Sotheby’s recently reunited the autographed manuscript of the poem with the author’s home, Poe Cottage, in the Bronx.
The cottage is where the author lived with his wife, Virginia, and mother-in-law, Maria Clemm, from 1846 until he died in 1849. The manuscript, also from the Swantko collection, will remain at the home until it is offered at auction at Sotheby’s on June 26 with an estimate between US$400,000 and US$600,000.
Matthew Borowick for Sotheby’s
Poe Cottage, preserved and overseen by the Bronx County Historical Society, is home to many of the author’s famous works, including Eureka , 1948, and Annabel Lee , 1927.
“To reunite the For Annie manuscript with the Poe Cottage nearly two centuries after it was first composed brought to life literary history for a truly special and unique occasion,” Richard Austin , Sotheby’s Global Head of Books & Manuscripts, said in a news release.
For Annie was one of Poe’s most important compositions, and was addressed to Nancy “Annie” L. Richmond, one of the several women Poe pursued after his wife Viriginia’s death from tuberculosis in 1847.
In a letter to Richmond herself, Poe proclaimed For Annie was his best work: “I think the lines For Annie much the best I have ever written.”
The poem was composed in 1849, only months before Poe’s death, Sotheby’s said in the piece, Poe highlights the romantic comfort he feels from a woman named Annie while simultaneously grappling with the darkness of death, with lines like “And the fever called ‘living’ is conquered at last.”
Matthew Borowick for Sotheby’s
In the margins of the manuscript are the original handwritten instructions by Nathaniel P. Willis, co-editor of the New York Home Journal, where Poe published other poems such as The Raven and submitted For Annie on April 20, 1849.
Willis added Poe’s name in the top right and instructions about printing and presenting the poem on the side. The poem was also published in the Boston Weekly that same month.
Another piece of literary history included in the Swantko sale could surpass US$1 million. Conan Doyle’s autographed manuscript of the Sherlock Holmes tale The Sign of Four , 1889, is estimated to achieve between US$800,000 and US$1.2 million.
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From making unpopular decisions to learning when to listen, leaders from five businesses reveal what nobody prepared them for — and how running a company has challenged their expectations.
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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