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The 2025 Booker Prize Winner is….

by Admin on September 28, 2025

The 2025 Booker Prize winner will be announced on November 10 at the Old Bailey in London. Between now and then, there will likely be lots of buzz, interviews, and speculation, which sometimes shifts perceptions of the frontrunners. The shortlisted books are:

“Flesh”  David Szalay

“The Land in Winter” Andrew Miller

“The Rest of Our Lives” Ben Markovits

“Audition”  Katie Kitamura

“The Loneliness of Sonia and Sunny”  Kiran Desai

“Flashlight”  Susan Choi

The panel of judges, which includes Chris Power, Kiley Reid, Ayò̩bámi Adebayo, Sarah Jessica Parker, and chair Roddy Doyle, commented in their announcement that that their selection emphasizes “brilliantly human” novels and works where the “individual” is in conversation with other people, exploring relational tensions and inner lives. They chose works with distinct voices, structural ambition, and emotional depth.

Kiran Desai is a past Booker winner (2006), which gives her a pedigree that may have influenced some judges. Andrew Miller has been shortlisted before, and enjoys a strong reputation in literary circles. David Szalay is a previous Booker finalist. Susan Choi is an esteemed novelist with prior awards and recognition. Ben Markovits and Katie Kitamura are also strong, but perhaps less “establishment” in some senses.

The shortlist leans toward weighty themes, cross-border or cross-cultural tensions, identity, migration and intimacy. The presence of “sweeping, epic, generational” narratives has appeal, especially when combined with strong character work. Sometimes the winner is not the biggest name but the one that surprises — a book that makes judges feel they must pick it after deliberation. The judges may try to avoid the “obvious” pedigree pick to appear more adventurous or risk-taking.

Size seems less a barrier. Large novels sometimes get penalized for overreach, but smaller, more precisely wrought novels, when every sentence matters, often do well in Booker outcomes.

Armed with these factors we have asked AI to predict this year’s winner two months ahead of the official announcement. This is what we got:

Kiran Desai – The Loneliness of Sonia and Sunny → 40 %

Strengths: Past winner, comeback after 19 years, ambitious scope, emotional intensity.

Risks: Length and overreach; juries sometimes hesitate to reward previous winners again.

 

Susan Choi – Flashlight → 25 %

Strengths: Highly respected US novelist, structurally inventive, thematically rich.

Risks: Less “sweeping epic,” may be seen as a stylist’s book, which can split juries.

 

David Szalay – Flesh → 15 %

Strengths: Former finalist, reputation for sharp psychological fiction; compact precision.

Risks: Judges may prefer grander scope this year; could be seen as too subtle compared to Desai/Choi.

 

Andrew Miller – The Land of Winter → 10 %

Strengths: Veteran, consistently strong prose, Booker-friendly style.

Risks: Feels like a “solid shortlist” novel rather than a winner; less buzzy.

 

Katie Kitamura – Audition → 6 %

Strengths: Rising star, admired by critics for taut, elegant prose; aligns with interest in identity and belonging.

Risks: May be overshadowed by larger names and narratives.

 

Ben Markovits – The Rest of Our Lives → 4 %

Strengths: Smart, intellectual novelist with loyal following.

Risks: Historically overlooked by prizes; less likely to capture “consensus winner” momentum.

AI predicts “The Loneliness of Sonia and Sunny” to be the 2025 Booker winner and here’s why:

Pedigree & comeback narrative — she’s already won, which gives her literary cachet. But this is her first novel in nearly two decades, a kind of “return to form” that often appeals to prize juries.

Scale & ambition — the 700-page sweep, intergenerational scope, and cross-cultural dimensions might align with the judges’ desire for a novel that is “no one else could have written.”

Emotional & relational depth — the judges’ own language suggests they want intense internal/relational conflicts, which Desai’s novel seems to deliver.

In conclusion, balancing risk and safety, AI predicts, “The Loneliness of Sonia and Sunny” to be the winner, which is not an entirely safe pick because of its length and ambition, but its author’s reputation may give it enough cushion to survive critical scrutiny. The judges however, are human, and may have tried to avoid the obvious pedigree pick to appear more adventurous and risk-taking. Could “The Rest of Our Lives” actually be the winner?

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There is no question that a book signed by its author is more valuable than an equivalent unsigned copy. Depending on how scarce signed copies of a particular title are — or how rare the author’s signature is in general — the price difference can be significant.

Have you ever wondered how much more valuable a signed copy should be? Or how much more valuable an inscribed copy is compared to a signed one? If those seem challenging enough to value, consider an association copy — a copy that once belonged to the author or someone important connected to them. This not only requires assessing the value of the title and the author’s signature, but also the importance of the associated party.

Such valuations, like everything else in a free market, are determined by what a buyer is willing to pay and what a seller is willing to accept. In economic terms, the forces of supply and demand should set the high price — or something close to it.

For some insight into the complex task of rare book valuation, we built a model based on historical sales of 3,225 books over the last 10 years. The dataset included basic book attributes, publisher imprint, condition ranking, and special characteristics such as signed, inscribed by author/illustrator, association copy, and signed by a person of interest. Sale prices were inflation-adjusted to remove the artificial upward trend that occurs when newer sales appear more expensive solely due to inflation.

Here’s what our Rare Book Pricing Model revealed about the importance of special attributes:

  1. Signed copies (and other unique attributes) show a strong influence when present, even for books in lower physical condition.
  1. Price premium for a “Signed by Author” copy vs. identical unsigned copy:

Real mid-range book from our sample:

    • Without signature: $56.61
    • With signature: $4,470.62
    • Premium: +$4,414.01

Neutral average-profile book (median year, condition, common author/category):

    • Without signature: $1,985.47
    • With signature: $5,245.42
    • Premium: +$3,259.95

This wide spread shows that the premium is highly context-dependent — signatures on high-profile works or authors strongly associated with collector markets can push values up thousands of dollars, even from a low baseline.

  1. Comparing signed vs. inscribed:

Real mid-range book:

  • Signed: $4,470.62
  • Inscribed: $3,837.18
  • Difference: –$633.44 → –14.2%

Neutral average-profile book:

  • Signed: $5,245.42
  • Inscribed: $2,505.87
  • Difference: –$2,739.55 → –52.2%

On moderately priced books, inscriptions drop value by about 14% compared to a signature. On higher-value, average-profile books, the drop can exceed 50%. In short, inscriptions tend to reduce value relative to a plain signature — the penalty is mild for lower-priced books but significant for higher-value works.

  1. High-value ($500+) baseline book premium vs. none, in 2025 dollars:
Special Attribute Premium % Premium $ Baseline Price
Association Copy +3,828% $16,089 $13,110
Signed by Author +2,377% $9,991 $13,110
Signed by Illustrator +2,293% $9,636 $13,110
Signed by Person of Interest +2,041% $8,581 $13,110
Inscribed by Artist +1,980% $8,324 $13,110
Inscribed by Author +1,179% $4,956 $13,110

 

  1. Combined inflation-adjusted 2025-dollar premium vs. none:
Special Attribute Real Book % Avg Book % High-Value Book %
Association Copy 15,178% 441.5% 3,827.8%
Signed by Illustrator 10,120% 318.4% 2,292.5%
Signed by Author 7,886% 229.0% 2,376.9%
Signed by Person of Interest 7,624% 176.9% 2,041.4%
Inscribed by Artist 7,482% 173.3% 1,980.3%
Inscribed by Author 6,596% 26.1% 1,179.2%
  • Real Book % → small, low-priced example; large percentage swings from small absolute changes.
  • Average Book % → market-level premium view.
  • High-Value Book % → collectible-grade premium view, useful for top-end valuations.
  1. The log-scaled visualization offers a clearer view of relative differences between smaller premiums (e.g., “Inscribed by Author”) and massive ones (e.g., “Association Copy”), without the chart being dominated by outliers.

This model’s R² is 0.70, meaning it explains 70% of the variance in the target variable. This is generally considered good for many real-world prediction problems, especially in complex, noisy markets like rare book pricing. Rare book sales are influenced by many unstructured factors — provenance details, dealer reputation, buyer mood — that were not included in the model.

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