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Hosking PartnersQuarterly16 Oct 2026Source: hoskingpartners.comAuthor: Django Davidson

Q3 2026 – Quarterly Report Commentary

Hosking Partners is a London boutique founded in 2013 by Jeremy Hosking, a portfolio manager at Marathon Asset Management for over 25 years. It runs a single global equity strategy built on the capital-cycle, supply-side approach — contrarian, long-term, and unusually diversified (350+ holdings) under a multi-counsellor model, managing around $5.5bn.

Jeremy Hosking · 2013 · 伦敦Capital cycle / contrarian

In plain words

This report says the fund manager is cautious about the AI infrastructure boom, warning it could become commoditized like solar power. The fund returned +3.5% this quarter and +19.3% year-to-date, beating its benchmark. Instead of chasing big US AI stocks, they picked winners from overlooked places like Norway, Greece, and the UK. Key holdings include Saga (a UK cruise company with a 25% annualized return, similar to Meta and Microsoft) and ASOS (a turnaround story). They also bought office properties Vornado (New York) and Great Portland Estates (London), citing limited supply. The overall tone is cautious on AI hype.

AI SummaryAI-generated · may contain errors · verify against the original

At a Glance

One-sentence summary: The author adopts a cautious stance on the AI infrastructure investment boom, warning it may repeat the commoditization trajectory of the solar industry, while emphasizing that a diversified stock-picking strategy and uncovering winners from overlooked corners of the market are proving effective. [Cautious]

  • This quarter's net return was +3.5%, bringing the year-to-date return to +19.3%, outperforming the MSCI ACWI index by 1.9% and 6.3%, respectively, achieved against a backdrop of an increasingly narrow AI-dominated index and the US 10-year Treasury yield rising to its highest level since 2007.
  • AI infrastructure capital expenditure expectations have doubled to $7 trillion within a year, with AI-related debt surging from approximately 1% to over 20% of US investment-grade bond issuance. The author warns that credit investors will determine the direction of the industry.
  • None of the top ten contributors are from US AI giants; the median market capitalization is only $4.7 billion, with companies hailing from Norway, Greece, South Africa, and the UK, spanning sectors such as energy, financials, materials, and consumer discretionary.
  • Japan contributed the most (+11%, approximately 150 bps), while US mega-cap tech dragged by about 260 bps. In terms of portfolio adjustments, positions in memory semiconductors and energy were reduced, while holdings in New York/London office properties (e.g., Vornado, Great Portland Estates) were increased.
  • The UK holding Saga has a ROIC of 25% (annualized), comparable to Meta, Microsoft, and Amazon. ASOS is executing a turnaround plan, and the author holds cautiously optimistic views on its Saga-like upside potential.
~11 min full read · 11 sections
Deep Analysis

Outperformed the Benchmark This Quarter, Driven by Diversified Stock Selection

Performance Comparison: Net return of +3.5% for the quarter and +19.3% year-to-date, outperforming the MSCI ACWI Index by 1.9% and 6.3%, respectively. Year-to-date 2026, the strategy has outperformed the benchmark over 1/3/5/10-year periods, achieved against a backdrop of an increasingly narrow AI-dominated index and the US 10-year Treasury yield rising to its highest level since 2007. The author believes this reflects alpha generated from a long-term, uncorrelated, and idiosyncratic stock-picking approach.

AI Capital Expenditure Doubles to $7 Trillion, Debt Issuance Surges

The author argues that AI infrastructure investment has entered a cycle "beyond all hyperbole," making three observations:

  • Doubled CapEx Expectations: A year ago, Jensen Huang estimated total AI data center capital expenditure before 2030 at $3-4 trillion. Now, estimates from Goldman, McKinsey, and JP Morgan have doubled this to $7 trillion. The author notes that, measured as a share of GDP, such scale has not been seen since the US railroad boom of the late 19th century.
  • Surge in Debt Issuance: AI-related debt as a share of US investment-grade bond issuance has risen from roughly 1% in 2024 to over 20%. Over $500 billion in investment-grade bonds have already been issued in 2026 alone, with hundreds of billions more expected in 2027. JP Morgan estimates an additional $4.1 trillion will need to be raised by 2030.
  • Credit Investors Will Determine the Industry's Direction: The proliferation of special purpose vehicles (SPVs) and off-balance-sheet lease commitments marks a new phase of complexity and opacity. The author points out that underlying indicators of the AI ecosystem's health are weakening—for example, declining token prices and the underperformance of frontier models relative to "good enough" open-source competitors.

Data Centers are Factories, Compute is a Commodity—An Analogy with the Solar Industry

The author reiterates their capital cycle framework: if the large language model market remains competitive and relatively commoditized, returns will trend toward marginal cost. It is now increasingly clear that data centers are factories, and compute is a commodity. In competitive, asset-heavy industries, 40 years of experience show that the "urge to run at full capacity" will drive behavior—to cover high fixed costs, pricing (i.e., compute tokens) will decline, squeezing returns for all participants. The author proposes an analogy with significant implications for global equity markets: AI data centers may follow the same path as the solar industry—a revolutionary technology rapidly adopted, ultimately commoditized, and dominated by China. The author states: "With a supposed $3.5 trillion combined IPO valuation, this conundrum will be tested by the progress of OpenAI and Anthropic towards their flotations in the upcoming months."

Top Ten Contributors None from US AI Giants

Performance Comparison: The top ten contributors were not large US AI-themed beneficiaries but came from countries like Norway, Greece, South Africa, and the UK, spanning sectors including Energy, Financials, Materials, and Consumer Discretionary, with a median market capitalization of just $4.7 billion. Many positions have been held for several years, achieving multiple returns. The author uses this to challenge the standard interpretation of Bessembinder's research—that one should focus on predicting and holding a few "winning" stocks.

Reduced Energy Shipping, Still Bullish on Refining

  • Tanker Sub-Portfolio (+50%, contributing ~80 bps): Cumulative return of 440% since first written about in 2017. The initial logic was a classic contrarian capital cycle—the industry was seen as cyclical and low quality, but capital exit led to supply constraints and rising day rates. The Russia-Ukraine conflict and subsequent geopolitical disruptions made this forgotten industry more important but also triggered new equity issuance and a rising order book, leading the author to gradually reduce the position.
  • Refining Sub-Portfolio (+57%, contributing ~70 bps): Benefited from energy disruptions, but the author sees more upside as the refining cycle remains immature. Restrictive planning and environmental policies in Western countries limit new refining capacity, while demand remains strong—according to EIA data, US gasoline demand continues to rise to new all-time highs, contrary to persistent bearish forecasts.

UK Holdings: Saga ROIC at 25%, ASOS Poised to Replicate

  • Saga (Holding for Observation): ROIC of 25% (annualized) in H1 2026, comparable to Meta, Microsoft, and Amazon. Cruise ships are nearly full, and the joint venture bank with NatWest has absorbed £2.1 billion in deposits over nine months, demonstrating capital-light growth potential. The stock has risen 11x from its 2022 low, but the author believes there is still upside.
  • ASOS (Holding for Observation): Management is executing a turnaround plan years in the making, and the author is cautiously optimistic about its Saga-like upside potential.

Japan Contributed the Most, US Mega-Cap Tech Was a Drag

  • Japan (+11%, contributing ~150 bps): Approximately 80 Japanese stocks performed solidly, with top ten contributors spanning Financials (Aichi Financial Group), Communication Services (Recruit Holdings), Industrials (Komori Corporation), and Materials (Toyo Seikan Group Holdings).
  • US Mega-Cap Tech (Drag of ~260 bps): Underweighting US mega-cap tech was a relative drag, as Microsoft, Nvidia, Apple, Meta, and Palantir collectively added approximately $3 trillion in market capitalization this quarter.

Portfolio Adjustments: Reduced Memory and Energy, Increased New York/London Office Exposure

  • Memory Semiconductors (Reduced): Supportive of the long-term industry evolution but cautious on extraordinary profitability, continuing to take profits on price rallies.
  • Japan (Rotated): Shifted from well-performing companies to deep value, often smaller-cap names benefiting from Japan's economic improvement.
  • Energy (Reduced): Oil prices rose 44% this quarter, allowing for reductions within the 12% energy exposure, particularly in positions where pricing already discounts long-term energy disruptions.
  • Precious Metals (Rotated): Used the pullback in precious metals to adjust the gold and platinum group metals (PGM) sub-portfolios.
  • New York/London Offices (New Positions/Increased): Against a backdrop of AI frenzy and rising interest rates compressing interest and valuations, increased positions in high-quality corporate office providers like Vornado (New York) and Great Portland Estates (London), believing supply constraints put them in a favorable position.

Three Sources of Excess Returns This Quarter

This quarter's returns were driven by three structural factors, which would be amplified if the AI cycle reverses. First is successful stock selection—in any market with broad dispersion, stock picking yields high returns. Second is the structural advantage of Hosking Partners' global, all-sector, generalist approach: not being tied to a specific investment style (such as "quality" or "value") or narrow sectors/geographies allows free comparison and exploitation of opportunities anywhere. The author cites an example: "The ability to compare and act on a cheap, near-monopoly Greek refiner versus an expensive, highly leveraged US enterprise infrastructure stock is rare and valuable." Third, the tolerance for large positions enhances the capacity to invest in areas with little or no competition. This ability to bear uncorrelated, idiosyncratic "risk" was central to many of the quarter's major performance contributors, and the author believes it will remain so in the years ahead.

Winners Often Emerge from Overlooked Corners

The author cites academic research, arguing that market winners are difficult to predict and are more likely to emerge from overlooked corners than from current consensus hotspots. Citing Bessembinder's research, the author notes that over the long term, a small number of stocks have generated the bulk of net wealth in the US stock market. The author concludes: "We believe winners are hard to predict, and they are as likely to emerge from neglected corners of the market as from today's consensus favorites." This echoes the report's cautious stance on the AI infrastructure investment frenzy—current consensus is heavily concentrated in a handful of AI-related stocks, while the true long-term winners may come from other areas.


Position Moves

Ticker Direction Author's One-Sentence View Key Data
Saga Hold & Observe ROIC at 25%, stock up 11x from 2022 lows, still has upside ROIC 25% (annualized), NatWest joint venture bank absorbed £2.1 billion in deposits over 9 months
ASOS Hold & Observe Cautiously optimistic about Saga-like upside potential Management is executing a turnaround plan years in the making
Vornado New/Add Position Favorably positioned due to supply constraints Provider of high-quality office buildings in New York
Great Portland Estates New/Add Position Favorably positioned due to supply constraints Provider of high-quality office buildings in London
Aichi Financial Group Hold & Observe One of the top ten contributors in Japan, steady performance Japanese financial sector
Recruit Holdings Hold & Observe One of the top ten contributors in Japan, steady performance Japanese communications sector
Komori Corporation Hold & Observe One of the top ten contributors in Japan, steady performance Japanese industrial sector
Toyo Seikan Group Holdings Hold & Observe One of the top ten contributors in Japan, steady performance Japanese materials sector
Tanker Sub-Portfolio Reduce Position Gradually reduced due to new equity issuance and rising order book Cumulative return of 440% since 2017, contributed ~80 bps this quarter
Refining Sub-Portfolio Hold & Observe Greater upside potential, refining cycle still immature Contributed ~70 bps this quarter, U.S. gasoline demand continues to rise to historical highs
Memory Semiconductors Reduce Position Cautious on extraordinary profitability, continuing to take profits on price rallies Specific ticker names not provided
Energy Reduce Position Oil prices rose 44% this quarter, allowing reduction of positions where pricing already reflects long-term disruptions Energy exposure at 12%
Precious Metals Rebalance Using pullbacks to adjust gold and platinum group metals sub-portfolios Specific ticker names not provided