Torsten Sløk's three charts tell one connected story: since the conflict began, Iranian consumer inflation has surged to roughly 90% year on year, well above the previous peaks of around 50% in 2019-20 and 2022; the open-market rial has fallen to nearly 3 million per US dollar after a near-vertical slide; and crude exports, Iran's main source of foreign currency, have collapsed from about 1.8 million barrels a day to essentially zero. The mechanism is a feedback loop: lost oil revenue means fewer dollars entering the country, which pushes the rial lower, which raises import prices and feeds inflation, and the loop continues for as long as exports remain shut in.
Highlights
Since the conflict began, Iran has seen inflation near 90%, a collapsing currency and oil exports falling to essentially zero.
Iranian consumer price inflation has surged to roughly 90% YoY, well above the previous peaks of around 50% seen in 2019-20 and 2022.
Lost oil revenue means fewer dollars flowing into the country, which pushes the rial lower, which in turn drives import prices and inflation higher.
Contrarian Viewpoints
Open-market exchange rates and export estimates during a conflict are noisy, so the precise levels should be treated as indicative rather than exact.
The 2018-21 precedent, when exports fell to very low levels and then recovered gradually, cautions against assuming essentially zero exports persist indefinitely.
Investment Implications
Underweight assets dependent on Iranian oil supply while exports remain near zero; a resumption of exports would be the key signal to reassess.
This Chartbook instalment is a collage rather than a single argument, and its most useful frame is the first: the AI boom can be read as a huge cash flow transfer from the hyperscalers to the manufacturers of chips. Tooze pairs that with Australia's mining boom of the 2000s and into the 2010s, presented as a huge driver of national growth driven by an export surge and commodity prices, inviting a comparison with today's chip-driven wave. The issue then quotes at length a Guardian essay on psychopatriarchy, described as jet fuel to racism, colonialism, imperialism and capitalism, which is polemic rather than evidence.
Highlights
One way of thinking about the AI boom is as a huge cash flow transfer from the hyperscalers to the manufacturers of chips.
Australia’s mining boom of the 2000s and into the 2010s was a huge driver of national economic growth.
Psychopatriarchy is jet fuel to all the other -isms: racism, colonialism, imperialism, capitalism.
Contrarian Viewpoints
The cash-flow-transfer frame shows who receives hyperscaler spending, but not whether chip makers' margins last or who ultimately bears the financing risk.
The mining-boom analogy is suggestive, not quantified, and the long quoted essay on psychopatriarchy adds rhetoric rather than a testable claim.
Investment Implications
Overweight semiconductor manufacturers as the direct recipients of hyperscaler AI capex, while monitoring whether that spending is funded sustainably.
Apple has released a developer preview of its rebuilt Siri AI, letting apps of any kind build their own actions into the assistant and teach it multi-step jobs through new skills, a rare crack in its walled garden. The catch is timing: developers can only test with internal users for now, App Store submissions start in spring, and Apple's rules for developers will come later, so iPhone users will feel nothing yet. The same betas bring China its first Apple Intelligence tools, minus Siri AI. The newsletter's judgement is that the opening matters, but leaves the work to developers while Siri still feels generations behind frontier labs.
Highlights
Apple just opened up building on its Siri AI to all developers, something the notoriously closed-off ecosystem rarely allows.
Developers can now add their own actions instead of just Apple’s initial preset list of options, and teach Siri multi-step jobs through new “skills.”
Apple letting any app build into Siri is a real crack in its walled garden, which is a big deal.
Contrarian Viewpoints
This is a developer preview, not a product launch: with App Store availability months away and rules still unwritten, near-term user impact is nil.
Opening the platform shifts the burden to developers and does not by itself close Siri's gap with frontier labs in areas such as computer use.
Investment Implications
Hold Apple for platform optionality rather than buying on this announcement alone, as App Store availability is months away and developer adoption is unproven.
Ben Thompson argues that the 2026 US midterms, in which Democrats swept Congress and Gina Hinojosa won the Texas governorship pledging a moratorium on data-centre construction in the state holding over 25% of planned US capacity by 2030, mark a shift in what constrains AI: from compute, to memory, to power, and now to politics. Unlike globalisation, where affected towns had no say, building data centres requires permission, so voters who felt voiceless before are now blocking projects, with nearly every relevant local ballot measure opposing data centres winning except in North Dakota. Winners are hyperscalers with permitted sites; losers are neoclouds, Nvidia short term, and startups.
Highlights
The final constraint is political, and that may be the most imposing constraint of all.
Building data centers requires permission, which is to say that people actually have a say.
It’s just as likely we are looking at scarcity for much longer than we expected, which will have ripple effects on everything.
Contrarian Viewpoints
Elections swing back and forth, and Thompson himself notes permanency is not declared; demand for AI's ends has historically tended to win over opposition to its means.
Efficiency gains, such as Nvidia's power-constrained token output, and repurposing of existing permitted sites could ease the constraint without new approvals.
Investment Implications
Overweight hyperscalers with existing permitted sites they can repurpose over neoclouds dependent on new permits and financing.
Underweight neocloud and data-centre developers exposed to permitting risk, and favour edge-inference beneficiaries such as Apple.
Political change in Europe's top destinations for Chinese greenfield investment threatens the relationships that secured multibillion-dollar factory and infrastructure pledges: Hungary's Viktor Orbán and Serbia's Aleksandar Vučić lost elections in April and October respectively, and Spain's Pedro Sánchez, who also courted Chinese manufacturers, has called snap elections for 29 November. Together the three countries attracted $41.4bn of Chinese greenfield FDI pledges between 2020 and September 2026, 43% of Europe's total. Hungary is reviewing CATL and BYD projects, and Serbia's new government may scrutinise Chinese-backed projects, though existing ties give Chinese firms reasons to stay.
Highlights
Together, these three countries attracted $41.4bn of Chinese greenfield FDI pledges between 2020 and September 2026, accounting for 43 per cent of Europe’s total in the period.
Projects associated with the previous governments’ political relationships with Beijing could come under particular scrutiny.
That model, where one friendly government could fast-track a multibillion project, is ending. Chinese capital will have to earn its licence to operate like any other investor.
Contrarian Viewpoints
Scrutiny is not cancellation: Spain shows politically courted Chinese investment can coexist with regional oversight and trade-union involvement.
Chinese greenfield FDI in Europe already peaked at $23.6bn in 2023 and fell to $10.8bn in 2025, so politics may be accelerating an existing decline rather than causing it.
Investment Implications
Be selective on Chinese EV and battery investments in Hungary and Serbia pending permit and subsidy reviews, while favouring Spanish projects with stronger regional oversight.
Invesco's message to APAC investors is that the US midterm result changes less than it feels like it does: early results pointed to a strong Democratic showing and Democratic control of Congress, ending two years of unified Republican government, but midterm losses for the president's party, averaging 22 House seats over six decades, are historically normal. Gridlock could reduce the prospect of major additional fiscal stimulus, easing pressure on US growth, inflation, Treasury yields and the dollar, easing pressure on Asian currencies. But the administration retains executive authority, so tariffs, export controls and technology restrictions remain the key risks for China, Taiwan and Korea.
Highlights
Early results point to a strong showing for Democrats, raising the prospect of Democratic control of Congress, ending two years of unified Republican government in Washington.
Over the past six decades, that party has lost an average of 22 House seats in the midterms.
Tariffs, export controls, technology restrictions and supply-chain security are therefore likely to remain important sources of uncertainty.
Contrarian Viewpoints
Gridlock easing pressure on rates and the dollar is conditional, not automatic, and spending fights or investigations could still unsettle markets.
A region-wide framing may understate contagion: even if China policy matters most for China, a risk-off move in US rates or sentiment can hit emerging Asia broadly.
Investment Implications
Stay selective within APAC, favouring markets benefiting from supply-chain diversification such as India and parts of ASEAN over tariff-exposed China, Taiwan and South Korea semiconductor exposure.
Watch the direction of US rates and the dollar as the key gauge of how much room emerging Asian central banks have to ease.
Oxford Economics' research for the Global Cement and Concrete Association argues that five megatrends, population growth and urbanisation, infrastructure and housing deficits, climate transition and resilience, geopolitical uncertainty and digitalisation, are reshaping construction demand, with construction activity forecast to increase by more than 70% to US$16.6 trillion annually by 2050. Cement and concrete are presented as critical to delivering essential infrastructure and strengthening resilience. The hard part is meeting rising demand while reducing carbon emissions, improving productivity, managing costs and ensuring sustainability, through innovation and resilient supply chains.
Highlights
Five major global megatrends—population growth and urbanisation, infrastructure and housing deficits, climate transition and resilience, geopolitical uncertainty, and digitalisation—are reshaping global construction demand.
With global construction activity forecast to increase by more than 70% to US$16.6 trillion annually by 2050, the report highlights the critical role of cement and concrete in delivering essential infrastructure.
Meeting rising infrastructure demand while reducing carbon emissions, improving productivity, managing costs and ensuring long-term sustainability.
Contrarian Viewpoints
This is a landing-page summary for an industry association's research, not the underlying data, so the headline forecast should not be treated as independently verified.
A forecast to 2050 carries enormous uncertainty, and the summary gives no emissions numbers for the concrete sector whose carbon problem it flags.
Investment Implications
Take a multi-decade overweight to construction materials and infrastructure enablers, while treating low-carbon cement and concrete innovation as the key differentiator.
Aberdeen argues that portfolios which look diversified may not be: global equities, emerging markets and small caps are increasingly driven by the same AI theme, with correlations to an AI ETF proxy of 0.79 for global equities, 0.69 for emerging markets and 0.75 for small caps. Technology's weight in the MSCI ACWI Index has risen from around 10% to 31% , contributing roughly half of overall index risk, so owning more equity markets no longer guarantees different sources of return. Cash, bonds and property show lower AI correlations but sacrifice return, hence the pitch for listed infrastructure serving data-centre demand as AI-adjacent growth through different drivers.
Highlights
Traditional diversification routes are increasingly exposed to the same drivers that dominate global equity markets.
The sector’s weight within MSCI ACWI Index has risen from around 10% to 31%, while technology now contributes roughly half of overall index risk.
Global equities exhibited a correlation of 0.79, EMs 0.69, and global small caps 0.75.
Contrarian Viewpoints
Correlations to an AI ETF proxy over a two-year window are period-dependent and may fall if the AI trade unwinds or broadens.
Listed infrastructure is itself exposed to AI build-out demand and interest rates, so it is a different driver, not an independent one.
Investment Implications
Audit portfolios for true AI factor exposure rather than counting holdings, and consider listed infrastructure, especially power and energy assets serving data-centre demand, as a differentiated AI-adjacent allocation.
62/ 100United States, South Korea, Taiwan, China, Japan
Financial MarketsUS EquitiesSemiconductors
Summary
Emirates NBD's morning note captures a market caught between two stories: on Tuesday, global equities were little changed, with the S&P 500 up 0.4% on a chip rebound and the Nasdaq 100 up 0.7%, while emerging markets fell 1.7% as the selloff hit Korea and Taiwan, each down 3.6%. Overnight the election result arrived, with Democrats taking the House at about 248 seats to 187 on the NBC estimate and closing in on the Senate, sending US futures, the dollar and yields lower. The note reads the outcome as gridlock plus investigations, with AI oversight and the defence budget most exposed, against the post-midterm history cited by the note.
Highlights
Global equities were little changed on Tuesday as Americans voted, the S&P 500 rose 0.4% on a chip rebound while emerging markets fell 1.7% as the chip selloff reached Korea and Taiwan.
Democrats took the House with about 248 seats to 187 on the NBC estimate and flipped Senate seats in Texas, South Carolina and North Carolina.
The S&P 500 has never been lower twelve months after a midterm since 1950.
Contrarian Viewpoints
At the time of writing the Senate outcome was not yet called, so a Democratic sweep was likely but not confirmed.
The morning-after market move, with S&P 500 futures down 1.3% and Nasdaq 100 futures down 2.3%, cuts against any simple relief-rally reading of the result.
Investment Implications
Treat gridlock as supportive for Treasuries on lower spending and borrowing expectations, while watching AI oversight and defence-budget scrutiny for exposed names.
Be cautious on Korea and Taiwan semiconductor exposure after both markets fell 3.6% on the chip selloff spreading from the US.
在全球 AI 竞赛中，美国在 OpenAI、Anthropic 等科技巨头带领下保持领先，但内地 AI 正沿着独特的发展路径加快发展，优势主要来自成本结构、政策环境与开放技术策略的协同。首先，内地电力、数据中心建设及相关配套成本相对较低，使大模型训练与推理的词元成本更具竞争力，有望建立长期的成本护城河，而美国较高的电力及数据中心营运成本往往推高模型服务定价门槛。其次，中央将 AI 列为国家战略重点，从顶层设计到地方落实持续释放政策红利，加快 AI 由实验室走向实际应用场景，与美国较依赖市场竞争的路径形成对比。第三，DeepSeek、智谱、月之暗面旗下的 Kimi 等领先模型往往在推出新一代版本后同步公开相关研究成果，加快先进技术在实验室之间的传播与重复应用，而美国领先模型较多呈现各自为营的闭环特征。加上算力芯片、框架软件及数据治理等关键环节国产替代步伐加快，内地 AI 有望由跟跑迈向并跑、甚至在部分范畴担任领跑角色，作者提醒可留意投资于内地 AI 企业的 ETF，但亦需要注意相关投资风险。
这是一篇以化名「小武」为主角的非虚构叙事，讲述一个 AI 应用创业者在三年创业无果、积蓄赔光后转做数据倒爷的经历。过去一年，他在海外地下小网站爬数据、去过流水线般的千人标注工厂、在硅谷追踪过 Surge 的专家网络，见识到游戏玩家操作数据、大学实验室的实验过程数据、以及破产公司整套运营数据都可能被买卖：他为一家 SaaS 公司找到国内模厂买单，以 300 万美金成交，清单几乎完整记录了该公司十多年从获客、签约、交付、研发、售后到内部管理的各个环节。更高效的路径是 API 中转站：国内大厂通过中转站调用海外模型 API，中转站把沉淀下来的任务轨迹抽走转卖，形成用卖数据收入补贴 token、吸引更多调用、再产出更多数据的闭环，直到一家大厂买数据时买到了自己使用中转站的轨迹，才引发降温。作者的核心观察是，任何人、任何行业、发生的任何事都可能成为数据，简单数据在跌价、高质量专家数据反而在涨，普通人参与更难；灰色交易席卷广泛，源于模厂对模型能力的不惜一切追求与每个个体的无力感——大家心知肚明 AI 是通过淘汰人来进化的，却没有人愿意停下，都想抢泰坦尼克号的救生船；上个月成立的国家数据集团，则可能加快这个行业的转折。
64/ 100United States, Texas, Kansas, South Carolina, Iowa, Mississippi
GeopoliticsUS PoliticsMidterm Elections
Summary
Noah Smith argues that the 2026 US midterms were a referendum on Donald Trump, and that MAGA's crushing defeat exposed a central delusion: the belief in a hidden reservoir of shy Trump supporters who would rescue the party, as in 2016. Instead, polls, forecasts and prediction markets had called a Democratic victory for months, and the election-night surprise favoured Democrats, with even Trump's traditional base of white voters without a college degree abandoning the GOP in droves. Kansas, South Carolina and Iowa turned blue, and Texas went blue too, with Democratic challenger Gina Hinojosa unseating Republican governor Greg Abbott and progressives winning statewide office. Smith traces the backlash to the cost of living: Trump was elected to tame inflation but raised taxes on almost everything Americans buy from overseas and raised gas prices by attacking Iran, plunged the US into an expensive Middle East quagmire, promoted Vladimir Putin's interests, and presided over corruption that voters now rank above grocery and gas prices as their top concern. His broader thesis is that normal, swing voters do exist in great numbers, and that pushing them hard enough with corruption, mismanagement and disdain for their daily struggles will eventually make them rise up and punish the incumbent. The warning runs both ways: Democrats, he says, risk a red wave in 2030 or 2034 if they misread the mandate and chase activist priorities such as Palestine over the cost of living, embark on a borrowing binge, try price controls, push billionaire taxes voters just rejected in California, or reopen large-scale illegal asylum admissions.
Highlights
The only possible interpretation of this huge wave election is that it was a referendum on Donald Trump.
It turns out that normal Americans do exist — in great numbers, in fact.
And most of all, Texas is blue.
Contrarian Viewpoints
Smith's own warning that Democrats could face a red wave next time supports an alternative reading: the result may have been an anti-incumbent, cost-of-living vote rather than an endorsement of a progressive programme.
His judgement that Trump will not challenge the verdict is presented as gut instinct, not evidence, and should not be read as a settled prediction.
Investment Implications
Neutral on US equities (US Equities) as a divided government may limit major legislation but raise debt-limit and shutdown headline risk
McKinsey argues that after two decades of building risk governance, data and controls, banks face still-mounting demands, and AI now offers a redesign of the risk function, not just automation of single tasks. It describes five shifts — risk work becoming predictive, dynamic, faster and more consistent, with controls embedded in processes and reusable platforms — plus a three-pillar model of a strategic horizontal function, lean AI-enabled domains and a risk-AI centre of competence. Claims include 60 to 70 percent of manual tasks eliminated and 30 to 50 percent productivity gains in early wholesale lending; five roadblocks are flagged, and delay is judged costlier than leadership.
Highlights
With appropriate validation and oversight, AI-enabled workflows can monitor exposures more frequently, interpreting inputs, delivering more timely analysis, compiling evidence, and escalating exceptions to specialists.
We estimate that AI-enabled workflows could eliminate 60 to 70 percent of manual operational tasks, depending on the process and degree of automation.
Early implementations show productivity improvements of 30 to 50 percent across the end-to-end credit life cycle as well as shorter turnaround times and output quality rates of approximately 95 percent.
Contrarian Viewpoints
The headline productivity and cost figures rest on McKinsey's own client engagements rather than independently audited results, so realised gains at other banks may fall well short of the 60 to 70 percent range.
The article treats AI's own risks — model error, drift and over-reliance on automated judgement — largely as a governance checklist, which may understate how quickly a flawed workflow can propagate a bad risk decision across portfolios.
Investment Implications
Long large global banks that industrialise AI risk platforms early, as faster portfolio steering and lower manual risk costs should widen their operating advantage over peers stuck with fragmented point solutions.
Positive for enterprise AI platform and risk-software vendors selling into bank risk functions, where demand for reusable credit, monitoring and model-lifecycle capabilities is set to grow.
Financial MarketsAsset AllocationEquitiesSwiss Franc
Summary
Pictet's Strategy Unit has turned more cautious for November, cutting equities from overweight to neutral as tighter financial conditions and geopolitical uncertainty worsen the risk-return trade-off. Within equities it tilts defensive, upgrading healthcare to overweight while reducing financials, and upgrades the Swiss franc to overweight as a hedge against further political upheaval. The implication is a defensive, hedge-aware allocation rather than an outright risk-off call.
Highlights
Tighter monetary conditions have led us to reduce our exposure to equities from overweight to neutral.
We favour a more defensive tilt within our equity allocation, upgrading healthcare stocks to overweight while reducing exposure to financials.
Contrarian Viewpoints
Market consensus may still treat tighter financial conditions as temporary and keep equities overweight; Pictet's neutral call cuts against that.
A Swiss franc hedge may drag on performance if political risk eases.
Investment Implications
Neutral on global equities (Global Equities)
Bullish on Swiss franc (CHF) as a political-risk hedge
AI · BlackRock Investment Institute2026-11-04 11:00
BlackRock's weekly highlights argue that AI spending is booming but the bar for returns is rising, so it stays selective while maintaining its core AI conviction. It also points to a deeper shift in India, where headline stock lag may obscure deepening domestic capital markets, to capacity constraints in the Netherlands despite strategic strengths in security, energy and technology, and to richer income opportunities at higher yields that still require flexibility on bond risk. The piece is broad rather than deep on any single topic.
Highlights
AI spending is booming, but the bar for returns is rising.
We stay selective and maintain our core AI conviction.
Contrarian Viewpoints
Consensus treats surging AI spending as a reason to buy AI stocks broadly; this piece argues for selectivity instead.
India's stock lag may reflect valuation and earnings, not just a headline obscuring a deeper shift.
Investment Implications
Selective bullish on AI leaders (AI Equities)
Bullish on India domestic capital-market beneficiaries (India Equities)
Fitch argues AI is increasingly becoming part of China's macro-credit story, expanding from semiconductors and computing infrastructure into automation, power generation, enterprise software and industrial applications, as China seeks new growth drivers beyond property, investment and credit expansion. The same newsletter also upgrades China's bank operating environment to bbb/stable, with six state banks upgraded on 27 October 2026, while warning that local and regional governments' land revenue is likely to stay soft under tighter land and development rules, with the transition extending beyond 2026.
Highlights
Artificial intelligence is increasingly becoming part of China’s macro-credit story
Fitch Ratings has revised the operating environment score (OE) for China’s banks to ‘bbb’/stable from ‘bbb-’/stable
Contrarian Viewpoints
Consensus often treats AI as a technology theme only; this piece frames it as a macro-credit theme.
A bank operating-environment upgrade does not by itself mean asset quality improves in step with property-chain risk.
Investment Implications
Bullish on China AI-related industrial and software credit (China AI Credit)
Bearish on China local government land-revenue-linked bonds (China LRG Bonds)
Sources: Readwise Reader. Summaries only — no full article text. Original article links are added when a clean original URL is available; email newsletters are shown with their institution only.