The Economics of AI Under Scrutiny: Chips Grow, Capacity Tightens, and Profitability Enters the Debate

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Artificial intelligence (AI) is underpinning one of the largest capital investment bets in the global economy. Its expansion is tangibly visible in semiconductor manufacturers’ earnings, orders for chipmaking equipment, and the budgets of major technology platforms continuing to scale out infrastructure to meet expanding demand for compute capacity. However, the industry’s growth is beginning to raise a more complex question for financial markets: how profitable will the infrastructure being built actually be, and how long will companies need to recover the committed capital?

Third-quarter results for 2026 present a revealing snapshot. Taiwan Semiconductor Manufacturing Company (TSMC), the world’s largest contract chipmaker, reported revenue of $46.72B, a 41.2% year-over-year increase, and net income growth of 68.7%, with gross margins reaching 66.4%. In parallel, ASML, the Dutch manufacturer of lithography systems essential for producing the most advanced nodes, recorded quarterly sales of €11.66B and net income of €4.96B, achieving a 57.5% gross margin while warning that planned production capacity for 2027 and 2028 will fall short of projected customer demand. Both companies show that the expansion of AI is generating tangible economic opportunities for suppliers of critical components and specialized tooling. Yet they also illustrate that the industry cannot expand manufacturing capacity at the same pace at which investment expectations are scaling.

The third front lies with the major technology platforms. Global AI-related capital expenditures are estimated to reach approximately $900B in 2026, with cumulative infrastructure and technology investment projected to hit $5.5T by 2030. The operational challenge is that installed capacity, recognized revenue, and financial returns do not necessarily evolve in lockstep. This disparity is turning profitability into a central metric for evaluating the next phase of the AI economy.

Chipmakers capture top-line expansion

The initial confirmation of expansion appears at TSMC, whose position within the supply chain places it at the center of demand for advanced semiconductors powering artificial intelligence, high-performance computing, and related tech sectors. In Q3, revenue expanded 41.2% compared to the prior-year period to $46.72B. Net income rose 68.7%, while operating margin reached 58.7%. The breakdown of revenue highlights the rapid technological shift: process technologies of 7nm or below accounted for 79% of total wafer revenue, with the most advanced nodes taking an increasing share. Specifically, 3nm chips generated 33%, 5nm accounted for 28%, and initial 2nm shipments began contributing 8%.

High-performance computing (HPC), encompassing data centers and advanced processing architectures, generated 68% of quarterly revenue after growing 22% sequentially. TSMC guides fourth-quarter revenue to between $52.3B and $54.3B, the midpoint of which implies year-over-year growth near 58%—signaling that management expects substantial underlying demand expansion to persist.

Nevertheless, profitability headwinds exist even within this high-growth environment. TSMC’s gross margin compressed from 67.7% in Q2 to 66.4% in Q3, largely driven by initial dilution from the 2nm ramp. The company also noted that scaling 2nm alongside higher operational costs at overseas fabrication facilities will continue to partially weigh on margins.

For investors, the takeaway is clear: top-line growth does not guarantee unbroken margin expansion, especially as firms execute heavy upfront capex to expand capacity and commercialize next-generation process nodes.

ASML: order books point to persistent industry capacity constraints

The second signal comes from ASML, whose lithography systems enable the fabrication of the progressively denser and more intricate circuitry required by advanced chips. The firm posted quarterly revenue of €11.66B, up from €9.326B in Q2. Net income rose from €2.918B to €4.96B, while gross margins advanced from 54% to 57.5%. For full-year 2026, ASML guides revenue between €44B and €45B, with gross margins near 56%. However, the most critical data point for tracking the next investment cycle lies in customer demand signals rather than trailing financial results alone.

The firm indicated that several semiconductor manufacturers are already looking to secure tool delivery slots for 2029 and 2030. Concurrently, projected manufacturing capacity for 2027 and 2028 is expected to fall short of aggregate customer demand. ASML had previously targeted increasing output capacity for specific tools by roughly 30% in 2027, with a similar potential expansion in 2028. However, persistent demand forecasts have prompted the company to explore additional capacity expansions.

This illustrates a distinct structural dynamic of the AI economy: anticipated growth is so pronounced that the capex required to meet it must be locked in years in advance. Manufacturing specialized tooling, expanding cleanrooms, and optimizing production processes cannot be accelerated overnight. Under these conditions, upstream suppliers benefit from exceptional revenue visibility but face physical and technological ceilings on conversion rates. For allocators, that combination supports top-line pricing power for specialized tooling vendors while introducing operational execution risks: equipment makers must scale volume without compromising unit costs, margins, or yield consistency.

Furthermore, capacity constraints do not ensure that every market participant captures superior returns. Final profitability depends on the capital expenditure required to scale, realized unit pricing, and the durable longevity of customer demand projections.

The capital intensity of AI infrastructure buildouts

While component and equipment suppliers report robust earnings, major hyperscalers are allocating escalating resources to build out data centers, purchase specialized silicon, upgrade network infrastructure, and secure dedicated power supply agreements. The 5 major U.S. hyperscalers—Amazon, Alphabet, Meta, Oracle, and Microsoft—are projected to deploy roughly $900B in combined AI-related capex in 2026. This spending reflects a shift in scale, expanding beyond processor procurement and model training runs into land development, liquid cooling architectures, fiber backbones, power distribution gear, and power purchase agreements.

This capex intensity is not distributed uniformly across balance sheets. While certain players can fund a large portion of deployment from the operating cash flows of legacy businesses, others rely increasingly on debt issuance, equity offerings, and off-balance-sheet structures. Combined capital expenditures across 6 leading hyperscalers could exceed $1.3T in 2027, with projections indicating combined negative free cash flow profiles across 2026 and 2027 before an inflection toward cash generation materializes around 2029.

Methodological distinctions matter here: total aggregate hyperscaler capex and capital spending strictly tied to AI infrastructure overlap but are not identical. Specific figures vary based on which companies and infrastructure components are included in each analysis. Nonetheless, the estimates highlight the scale of the financial commitment. The sector must convert massive front-loaded capital outlays into durable recurring revenue, sustainable margins, and operating cash flows capable of funding subsequent development cycles.

Debt financing forms an expanding pillar of this buildout. Hyperscaler bond issuance grew from $17B in 2024 to $109B in 2025, reaching $194B in the first half of 2026 alone, with full-year 2026 issuance projected to reach up to $279B. The corporate debt market is thus becoming an increasingly critical financing vehicle for technological deployment. For fixed-income investors, this provides broad paper supply while necessitating closer scrutiny of balance sheet leverage, debt maturity profiles, and the payback periods of the financed infrastructure.

Meta and the cash flow hurdle

Meta Platforms’ financial disclosures illustrate the tension between top-line expansion and the capital intensity of a large-scale infrastructure program. In Q3 2026, the company posted revenue of $64.601B, up 26% year-over-year. However, total costs and expenses rose 68% to $51.613B, leaving free cash flow negative at -$2.12B.

Quarterly capex totaled $34.91B, including principal payments on finance leases. For full-year 2026, management projected total capital expenditures between $135B and $145B. While a 37% decline in operating profit alongside an operating margin contraction from 40% to 20% might optically look like a direct consequence of AI spend, that decline requires context.

Meta incurred a one-off legal settlement charge of $9.89B with U.S. state attorneys general during the period. Excluding that charge, adjusted operating income would have reached $22.88B, exceeding the $20.535B reported in Q3 2025.

Distinguishing these components clarifies the underlying picture: separating one-off litigation expenses from normalized operating costs and the infrastructure capex required to expand compute capacity. While core digital advertising revenue continues to grow, it must fund a major expansion of proprietary compute. For shareholders, the key task is determining the incremental economic value generated by this infrastructure and the timeline over which it translates into durable free cash flow.

Meta’s trajectory does not demonstrate that AI investment is inherently value-destructive. It does show that the sheer size of the financial commitments requires deeper analysis of cash burn, capex cadences, and the relationship between current capital outlays and downstream operating returns. Markets are moving beyond asking what a company spends on AI to scrutinizing what that spend actually generates.

Markets begin separating capital deployment from value creation

Scrutiny over AI investment returns is intensifying as multi-year capital commitments mount and companies must prove they can fund aggressive roadmaps without eroding their credit profiles. This divergence is driving distinct market reactions across mega-cap peers. Microsoft generated $18.6B in free cash flow during its fiscal first quarter, even after deploying $45.2B in compute infrastructure, supported by a 48% expansion in Azure revenue.

Alphabet, by comparison, deployed capex equivalent to 121.4% of operating cash flow during the September quarter (compared to 68% for Microsoft, excluding finance leases). Google’s parent company recorded negative cash flow of $9.07B and guided toward a significant sequential step-up in capital intensity for 2027. These divergent operating profiles explain why markets can reward one firm deploying massive capital while taking a more cautious stance on another with comparable outlays. The determinant is not purely the absolute magnitude of capital deployed, but the funding headroom of the core business, underlying segment margins, and the visibility of incremental returns.

Microsoft showed resilience through expanding enterprise cloud consumption and positive free cash flow. Alphabet, despite accelerated growth at Google Cloud, faces the challenge of defending search profitability while scaling up aggressive infrastructure deployment. These operational differences do not prove one corporate roadmap is definitively superior to another, but they do demonstrate that allocators are closely evaluating the quality of growth and the ability of each platform to translate capex into sustained cash flow. This analytical shift carries direct implications for equity valuation multiples, debt pricing, and asset allocation strategies.

The issue is not underlying demand, but value capture

The economics of AI present an apparent paradox: demand for compute continues to expand, semiconductor manufacturers and specialized tooling suppliers report robust order books, and cloud platforms continue to increase capex targets. At the same time, the physical assets require capital outlays that take years to amortize. Execution bottlenecks are complex: beyond the allocation of cutting-edge silicon and high-bandwidth memory (HBM), data center deployment hinges on local zoning permits, power interconnects, transmission grid capacity, cooling architectures, and specialized electrical equipment. These constraints can delay commercial commissioning and inflate budget assumptions. A facility that lacks energized power or cannot operate at design capacity cannot generate the cash flows used to underwrite its construction.

There is also the risk that deployed capacity outpaces commercially viable, monetizable demand. If hyperscalers build capacity ahead of sustainable enterprise monetization, they face the risk of low asset utilization rates, price competition, and compressed returns on invested capital. Conversely, if demand remains structurally constrained by capacity bottlenecks, asset utilization will remain high, rewarding upstream providers with proprietary moats. Evaluating the sector therefore requires decoupling 3 distinct variables that are frequently conflated: demand for end-user AI applications, the physical supply chain required to deliver compute, and the economic return on the capital deployed. Momentum in one area does not guarantee success across the other 2.

A structural test for capital allocators

The next phase of the AI cycle marks a transition in how markets evaluate participants across the ecosystem. During the initial wave, market attention focused largely on identifying which companies could train frontier models, design the fastest accelerators, or contract compute capacity ahead of competitors. As balance sheet commitments expand into hundreds of billions of dollars, financial metrics take center stage: the total cost to scale, the sources of funding, the incremental revenue generated, and the net free cash flow remaining after capital expenditures.

For equity investors, this requires assessing operating margins, capital intensity, free cash flow conversion, and return on invested capital across new assets alongside top-line revenue growth. For credit investors, the focus shifts to capital structure, maturity walls, covenant packages, and debt serviceability if infrastructure payback periods extend beyond base-case projections.

The expansion of leading foundries and the persistent capacity constraints projected over coming years demonstrate that the secular investment cycle remains fundamentally active. However, strong results from upstream hardware suppliers alone do not confirm that every dollar deployed into hyperscale facilities will clear hurdle rates. The central question for the tech sector is no longer simply the upper bound of AI growth, but the economic profit it generates, who captures that profit, and which companies possess the balance sheet durability and capital discipline to navigate the gap between upfront infrastructure spending and realized cash returns. That intersection of demand, capacity, and profitability will define the next phase of the AI investment cycle.

Bill Ackman and the Art of Waiting: Buying Great Companies When the Market Doubts Them

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Financial markets can spend weeks, months, or even years incorrectly valuing a company. For Bill Ackman, founder and CEO of Pershing Square Capital Management, this discrepancy between a stock’s price and the economic value of its business is not necessarily a problem: it can become an investment opportunity.

The key lies in distinguishing when a company faces genuine deterioration in its outlook versus when the market is overreacting to a temporary event, an uncertain threat, or an unmet short-term expectation.

This forms one of the central tenets of Ackman’s investment philosophy, shared during his visit to the Mexican Stock Exchange (BMV), where he participated in the opening bell ceremony and met with media representatives.

The American investor, whose firm manages more than $30B in assets, outlined a framework combining the selection of companies with durable competitive advantages, the discipline not to pay any price, and the willingness to wait until market conditions offer attractive risk-adjusted upside.

This perspective is especially relevant in an environment characterized by heightened volatility, sharp price swings, and rapid sector rotations shifting from investor favorites to sell-off targets.

Ackman noted that short-term speculation risks pulling markets away from their core economic purpose: providing capital for businesses to expand.

A company, he reiterated, is a long-term asset, even if its shares change hands daily.

The difference between this outlook and that of traders seeking to capture moves over hours, days, or weeks is central to Pershing Square’s approach. Rather than chasing momentum, the firm identifies businesses capable of compounding value over years and waits for an entry price that captures that upside.

Uber: when fear creates opportunity

The clearest example Ackman cited was Uber, the mobility and delivery platform in which Pershing Square invested in early 2025.

The firm had tracked the company prior to its IPO, but did not view its market valuation as sufficiently compelling. That changed when the share price fell to levels that, in the firm’s assessment, adequately compensated for the investment’s underlying risks.

Part of the market’s concern centered on autonomous vehicles and the risk that manufacturers such as Tesla could roll out competing robotaxi networks capable of displacing Uber.

Ackman arrived at a different conclusion: the arrival of autonomous vehicles would not necessarily dismantle the platform’s competitive position, particularly if multiple vehicle manufacturers and operators coexist.

The underlying thesis holds that riders will continue to value the convenience of hailing rides from a single app, with speed, competitive pricing, and brand trust. From this standpoint, Uber could preserve its role as a key distribution layer between riders and mobility providers, even as technology shifts vehicle operations.

The investment did not rest on denying that autonomous driving could transform transportation. It hinged on assessing whether that shift would erode Uber’s network moat or integrate into an ecosystem where the platform retains structural pricing and aggregation power.

The logic illustrates a broader principle: a disruptive technological threat does not automatically destroy value across every incumbent in an industry.

The decisive question is where each business sits following the transformation, and whether its competitive moat remains wide enough to sustain durable growth.

A library of businesses, not a momentum chase

The Uber transaction illustrates another element of the strategy: investment opportunities do not simply begin when a stock pulls back. The most critical work takes place well beforehand, through systematic tracking of exceptional businesses.

Pershing Square targets dominant businesses across their industries, characterized by robust unit economics, multi-year growth runways, and moats capable of withstanding prolonged disruption. Regulatory risks and management caliber are assessed with equal rigor.

A business can meet every operational benchmark yet remain an unattractive investment at the wrong valuation. For this reason, the firm maintains a watchlist of high-conviction companies, waiting for catalysts that compress trading multiples: disappointing quarterly earnings, cyclical headwinds, or macro events that temporarily depress investor sentiment.

The discipline requires separating deterioration in business fundamentals from broader price volatility.

The firm favors cash-generative businesses with durable moats, conservative balance sheets, limited dependence on capital markets, and market prices trading at a discount to intrinsic value, alongside strong governance and management execution.

The objective is not merely buying cheap securities, but identifying high-quality compounders offering a margin of safety.

A depressed valuation multiple does not ensure an undervalued security; it may reflect structural obsolescence, competitive decay, or permanently impaired margins. The opportunity emerges when the market discount overshoots what is warranted by fundamental risk.

Evaluating that gap requires patience, deep business understanding, and analytical conviction, rather than a speculative bet on multiple mean-reversion.

The cost of short-termism

The critique of short-term market speculation carries a broader structural implication: when stock prices overreact to transitory news, long-term allocators can capture mispricings that shorter-horizon market participants cannot exploit.

Markets comprise allocators with divergent mandates and constraints. While some compound capital over multi-year horizons, others operate under tight drawdown mandates, leverage constraints, or liquidity requirements that force programmatic selling during drawdowns.

The takeaway is not that markets are perpetually inefficient or that every pullback represents a buying opportunity. Rather, price action must be scrutinized strictly against corporate fundamentals rather than recent trading momentum.

This underscores the necessity of establishing a validated investment thesis before market dislocation occurs. When an equity sells off, the allocator must determine whether the market is offering a discounted entry into a resilient business or correctly pricing fundamental deterioration not yet reflected in trailing financial statements.

Making that distinction demands more than volatility tolerance: it requires rigorous corporate analysis, scenario modeling, and an awareness of one’s circle of competence.

Capital structure matters

Investment performance is not solely a function of asset selection. Organizational culture and capital stability are equally critical to executing a concentrated, long-duration strategy.

Building an enduring investment institution begins with talent. Investment management relies fundamentally on culture, retention, and assembling teams that compound institutional knowledge over extended horizons.

Equally vital is structuring capital with permanent or long-dated duration.

Developing exchange-listed investment vehicles broadens investor access to the strategy. An investor can purchase a single share of Pershing Square USA for approximately $40, participating in vehicle performance under identical fee and liquidity terms alongside larger institutional allocators.

This structure delivers dual advantages: democratizing access to institutional asset management while providing a permanent capital base that allows positions to be held through market dislocations without exposure to redemption-driven liquidity crunches.

Permanent capital does not eliminate loss risk or ensure positive returns. However, it prevents portfolio decisions from being dictated by external liquidity constraints unrelated to portfolio company fundamentals.

In an approach predicated on waiting for the right entry multiple and compounding through the investment lifecycle, capital duration is as pivotal as asset selection.

Artificial intelligence: opportunities and disruption

Artificial intelligence represents another critical consideration for fundamental investing. While the technology is set to reshape broad swaths of the economy, it introduces distinct risks alongside significant commercial opportunities.

The analytical challenge extends beyond picking early technological winners. Allocators must evaluate which legacy businesses can leverage AI to widen their moats, and which face margin compression or technological obsolescence.

This mirrors the framework applied to Uber: technological disruption can redefine an industry without necessarily eliminating incumbent network aggregators. The ultimate outcome depends on market position, adaptability, and fundamental unit economics.

AI applications across healthcare and neuroscience present considerable potential to extend lifespans, improve diagnostics, and advance clinical therapies, with broad implications for long-term labor productivity and scientific research.

However, secular technological tailwinds do not automatically make every company touching AI a viable investment. Valuation multiples remain paramount, as does the ability to convert technological innovation into durable revenue, margins, and free cash flow.

AI does not suspend traditional valuation discipline; it makes it more essential. As technological uncertainty rises, the ability to separate aggregate industry hype from cash-generative corporate moats becomes the central investment hurdle.

Mexico and Latin America in a fragmented global economy

While the strategy centers on North American large caps, macroeconomic and geopolitical developments are shifting economic dynamics across Mexico and the broader region. Rising geopolitical frictions, international conflicts, and the push to reshore manufacturing to North America are altering where multinational corporations deploy capex and structure supply chains.

Within this framework, Mexico is well positioned to benefit from geographic proximity to the U.S. and deepened regional economic integration, underpinned by the structural alignment between both economies.

Key structural advantages include strategic geography, an entrepreneurial demographic profile, an established industrial manufacturing footprint, and an expanding domestic pension system capable of channeling long-term institutional capital into local infrastructure and economic growth.

Sustaining this trajectory requires stable domestic policy, including transparent legal frameworks that incentivize private investment and entrepreneurship, alongside ongoing efforts to improve public security.

Local equity valuations in Mexico appear optically low, though establishing specific allocations requires detailed corporate-level due diligence.

Evaluating local opportunities remains ongoing, with inbound investment proposals subject to institutional due diligence before determining whether they warrant capital deployment.

Capital relationships across the region continue to deepen, having raised hundreds of millions of dollars from Mexican institutional allocators—including single and multi-family offices, pension funds (AFOREs), and institutional insurers—across both management company structures and public vehicle offerings.

This dynamic reflects broader North American economic alignment, where long-term interests across the U.S., Mexico, and Canada converge around regional productivity, trade integration, and economic security.

The discipline of patience

Fundamental investing offers no mechanical certainty for timing market inflection points. Long-term returns depend on assessing terminal business values, executive capital allocation, and shifting technological, regulatory, and macroeconomic variables.

Yet the core principle remains consistent: durable compounding is not achieved merely by identifying leading businesses, but by demanding an entry price that provides an adequate margin of safety, backed by the balance sheet duration to hold through cyclical volatility.

In an asset management landscape that frequently overvalues trading velocity, institutional outperformance requires upfront fundamental research, systematic watchlist monitoring, and the patience to deploy capital only when market dislocations present asymmetric upside.

Uber highlights this approach. It did not require discovering an obscure asset or predicting the full trajectory of autonomous mobility. It required understanding the network model, analyzing technological risk, and waiting for market sentiment to compress the valuation to an attractive entry point.

The distinction between chasing market momentum and executing a fundamental strategy often crystallizes in that window: when the market prices in existential risk, and rigorous analysis reveals an asymmetric investment opportunity.

Patience is not passive waiting; it is conducting exhaustive upfront research, isolating the economic drivers of a company’s moat, and maintaining the discipline not to deploy until market price provides a margin of safety.

Geopolitics and Energy: Iran, Israel, and the Risk for Europe

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Next week the results of the U.S. midterm elections will become known, and while waiting, speculation is mounting regarding the possibility of new coordinated attacks against Iran between the U.S. and Israel. Several Gulf states have reportedly been asked to prepare for a new, brief, and intense offensive against Iran following the legislative elections.

Much like the U.S., Israel also faced an electoral process—its 6th since 2019—with an uncertain outcome: on the eve of the election, neither the Netanyahu bloc nor that of the opposition (Gadi Eisenkot) appeared positioned to secure the 61 seats required for a parliamentary majority. The results confirmed this stalemate, leaving the country facing political deadlock and potentially another election cycle in which Netanyahu could have stronger prospects of forming a coalition government. Although their political agendas differ on how to address the Iranian issue, both agree on the core objective: halting Tehran’s nuclear development.

In this context, Brent crude hovers around $115 per barrel, and the futures curve has driven the 12-month forward price from $70 to $89 since July. While crack spreads have compressed since September, higher crude prices will push refining margins upward again. This represents one of the primary risks heading into year-end, particularly for Europe, where macroeconomic surprises are rapidly deteriorating and TTF natural gas prices approach €100/MWh—142% above June lows—just as winter begins and storage inventories sit below historically normal levels (75%, compared to a 5-year average between 86% and 89%). In the U.S., the improvement in consumer confidence is likely fleeting under these conditions, having been built on an approximate 6% drop in retail gasoline prices over the past month.

Equities: a favorable year-end if escalation is avoided

If an attack is limited or does not materialize, the year-end could prove very constructive for equity investors. Despite several headwinds—renewed concerns around AI capex and ROIC, crude oil near $115, a rebound in Treasury yields, and modest widening in credit spreads—the S&P 500 has held very close to record highs, and average historical track records following U.S. midterm elections remain overwhelmingly favorable for equity buyers.

Artificial intelligence: demand outstrips supply, but financing concerns persist

Doubts surrounding the AI trade have resurfaced once again. Rising long-term yields and their implications for funding costs across new data centers, fears over whether revenue will materialize before capital is depleted (and whether return on invested capital will prove sufficient), and competition for limited capital have weighed on tech valuations. Recent examples include capital raising of up to $95B, a $40B financing agreement through an off-balance-sheet vehicle leasing GPUs, and a similar $63B structured facility arranged with major institutional lenders to supply ASICs to Anthropic.

Compute demand continues to outpace supply. This is the clearest takeaway from Q3 earnings from Microsoft, Amazon, and Alphabet, as well as Oracle’s fiscal Q1 results, despite sharp subsequent pullbacks. The market is increasingly shifting focus away from raw technology momentum and adoption velocity toward the economics underpinning that demand, penalizing 3 core factors: return on invested capital (even as ROIC for these firms hovers around 30%), the duration of negative free cash flow profiles, and capex funding structures.

Anthropic’s S-1: real demand, profitability, and an immense compute commitment

The official announcement of Anthropic’s initial public offering and the publication of its S-1 registration statement (containing the prospectus alongside previously non-public operational data) provide a catalyst for renewed market optimism. In response, the Philadelphia Semiconductor Index rebounded off its 200-day moving average support, posting its strongest single-session gain since September. Even CoreWeave found brief relief, despite public commentary questioning the viability of the neocloud business model.

The S-1 filing represents some of the most concrete public evidence to date that enterprise-level AI demand is real. Revenue surged from $41M in 2023 to $16.286B in the first half of 2026, followed by a reported Q3 revenue figure of $16.8B (+45% quarter-over-quarter). Customer concentration is diversifying: clients generating over $100,000 annually expanded from 950 to 11,900 in 1 year, roughly 250 accounts now spend over $10M, net revenue retention hovers around 900%, and the revenue contribution of the top 5 clients declined from 36% to 21% over 2 quarters. Enterprise penetration remains low, suggesting substantial runway ahead, with Fortune 500 customers allocating less than 0.1% of their aggregate spend to Claude.

Crucially, this demand is showing operating leverage. Gross margin—factoring in accounting choices such as expensing model training costs exceeding $60B under R&D—reached 85% for the half-year. Furthermore, compute expenses declined from 2.5 times revenue in early 2025 to 48% in Q2 2026, a period in which the company posted positive GAAP operating income, challenging the narrative that frontier AI operates purely at an economic deficit.

Conversely, the firm is heavily positioned for continued exponential growth, with roughly $855B in total compute commitments, representing approximately 13 times current annualized revenue. These commitments, predominantly non-cancelable, were contracted 12-18 months in advance across cloud and chip suppliers including Google, Amazon, Microsoft, and Broadcom. For hyperscalers, this provides significant order-book visibility; for Anthropic, it introduces substantial operating leverage risk if top-line growth decelerates before absorbing that capacity, alongside enormous upside if projected demand is realized.

The Boom in Alternatives Could Drive Private Markets Above $34 Trillion by 2031

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Although there has been some noise across different asset classes within the alternative spectrum, the boom in these investments remains in full swing. Growth is expected to continue forward, propelling expanding private markets to unprecedented heights.

Considering the dynamics of private equity, venture capital, private debt, and real assets, alongside a slower pace of AUM expansion, alternative assets—including hedge funds—are projected to grow at an 8.5% CAGR over the next 5 years.

All told, private markets are projected to reach $34.12 trillion by 2031. Even so, that remains a small share of the $290 trillion total investable market estimated across public and private markets.

The fundamental drivers behind private market growth remain intact. Private companies possess increasingly diverse financing options, making staying private a viable alternative alongside going public.

Now, with a new technological wave driven by the rollout of artificial intelligence, private equity and venture capital in particular are well positioned to capture a significant share of the value created. Recent examples of large private companies achieving considerable scale before accessing public markets underscore how much value can accrue before public investors have the opportunity to participate.

Financing needs and portfolio demands

Additionally, there is the infrastructure component, marked by the scale of long-term capital requirements demanded by energy security, AI infrastructure, supply chain onshoring, and traditional construction. These factors will continue attracting investors to areas where financing was previously predominantly governmental.

Deep fiscal deficits across many developed economies reinforce this dynamic, as public balance sheets are less capable of fully funding investment requirements.

At the same time, an evolution is unfolding on the allocator side, shifting how investors view private markets. The growing adoption of the total portfolio approach by prominent institutional investors means that traditional asset-class silos are beginning to be abandoned in favor of evaluating aggregate exposures across public and private investments.

Product offerings have likewise evolved, enabling diverse investors to access the benefits of private markets while managing liquidity amid progressively longer holding periods.

Advances in secondary market depth are expected to continue, increasing the flexibility LPs have when managing their positions.

Shifts in the alternatives environment

Even though prospects remain favorable for alternative asset classes, a shifting backdrop is nonetheless reshaping market conditions. Private markets are operating under fundamentally different economic conditions compared to the recent past.

Some managers are contending with transactions agreed upon during an era of low nominal interest rates, creating a backlog of mature assets, leading certain funds to extend holding periods, and dampening performance expectations on those holdings.

In tandem, slower capital distributions to LPs have complicated fundraising for successor vehicles. This confluence of factors creates an environment where dispersion is clearer than ever.

The impact is not uniform; wider dispersion across performance, fundraising, realizations, and overall outcomes means manager selection will remain a critical priority for investors.

This dynamic also creates a paradoxical situation, generating improved prospects for capital deployed in today’s market environment. Bidding processes may be less crowded than during the 2021 peak, potentially leading to softer competition and lower entry multiples.

Given current cycle positioning, vintage 2026 and 2027 funds may offer stronger return prospects than vehicles that deployed capital in earlier years.

Looking ahead, the path of long-term interest rates will undoubtedly remain a central consideration for investment decision-makers, particularly as structural long-term capital demands remain elevated for both sovereigns and hyperscalers.

Foreigners Buy U.S. Stocks at a Historic Pace, but What Are They Not Buying?

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International investors allocated more than $1 trillion net to U.S. equities in the 12 months through August 2026. While corporate debt also gained ground, sales of short-term instruments and the shift in Treasury bond purchases raise new questions about global asset allocation.

That figure not only illustrates international investors’ appetite for Wall Street, but also poses a fundamental question for asset managers: what are they sacrificing, if anything, to increase exposure to the equity market of the world’s largest economy?

Data shows that during the 12 months through May 2026, foreign investors accumulated net equity purchases of $909 billion. Over that same period, their net purchases of U.S. corporate bonds reached $449 billion, while long-term Treasury bonds and notes totaled $290 billion.

Updated statistics show that the trend continued over the following months. In the 12 months through August, net purchases of U.S. stocks reached approximately $1.01 trillion, combining $844.2 billion from private foreign investors and $165.4 billion from official institutions.

Corporate debt also maintained a favorable trajectory, with net purchases of $464.1 billion. In contrast, net purchases of long-term Treasury bonds and notes stood at $306.4 billion.

The figures come from international capital flow statistics published on October 16, 2026.

The message is clear: U.S. equities capture an extraordinary share of international flows. Yet the interpretation requires nuance. Foreign investors have not stopped buying bonds; what the data shows is a considerable gap between the amounts allocated to each asset class.

The question for the investment industry is whether this distribution reflects a structural transformation of global portfolios, a response to growth expectations for U.S. corporations, or a combination of both factors.

Equities dominate, but corporate debt retains appeal

The magnitude of flows into equities contrasts with demand for other U.S. instruments. In the 12 months through August, net equity purchases by private foreign investors reached $844.2 billion, compared with $403.2 billion in corporate bonds and $296.5 billion in long-term Treasury bonds and notes.

Foreign official institutions—a category that includes public sector entities—added another $165.4 billion in stocks. They also made net purchases of $60.9 billion in corporate debt and $9.9 billion in long-term Treasury bonds and notes.

The distinction between private investors and official institutions matters because their objectives are not necessarily identical. While the former may seek growth, return, or diversification, the latter may also manage reserves and other financial positions tied to institutional mandates.

Taken together, the data shows that equity dominance does not depend exclusively on one class of investor. Both the private sector and official institutions recorded positive net stock purchases over the annual period analyzed.

However, corporate debt warrants special attention. Net purchases of $464.1 billion across private investors and official institutions confirm that interest in U.S. assets extends well beyond public equities.

For fixed income managers, the appeal of corporate bonds hinges on a combination of factors: interest rate levels, credit spreads, issuer quality, growth prospects, and default risk compensation.

Consequently, higher flows into equities do not imply that investors view fixed income as irrelevant. Rather, they suggest international demand is distributing across instruments serving different functions, albeit with equities clearly dominating by volume.

Furthermore, aggregate figures do not reveal whether the same investors purchasing equities are trimming bond holdings. A pension fund might expand equity exposure while another investor buys corporate debt. The collective outcome is a positive net inflow into both asset classes, without requiring a direct substitution between them.

Treasury bills offer one of the clearest clues

When examining which assets might be losing ground to equities, U.S. Treasury bills provide a relevant signal. Unlike long-term bonds, bills are short-dated sovereign debt instruments typically utilized to manage liquidity, hold cash equivalents, and dampen portfolio volatility.

Over the 12 months through August 2026, foreign holdings of Treasury bills declined by a net $23.9 billion. This contrasts sharply with the net increase of $145.6 billion registered during 2025.

The shift is even more pronounced within foreign official institutions. Their activity translated into a net reduction of $99.4 billion in Treasury bills during the 12 months through August, compared to net purchases of $104.4 billion in the comparable period ending in August 2025.

Private investors, conversely, increased their net holdings of these instruments by $75.5 billion. This divergence supports a more targeted hypothesis than a broad retreat from U.S. debt: part of the foreign official sector is reducing exposure to short-term instruments, while private investors remain net buyers of Treasury bills, equities, and corporate debt alike.

Market participant behavior is far from uniform. Motivations behind official movements may include liquidity requirements, shifts in reserve management, maturing paper that is not rolled over, or strategic asset allocation decisions. The underlying data does not assign specific intent to individual transactions.

Nor does it prove that capital withdrawn from Treasury bills was redirected into U.S. equities. Making that link would require granular portfolio-level data that is unavailable in aggregate series. Even with that limitation, the trajectory of Treasury bills adds an important dimension to understanding how international demand for U.S. assets is evolving.

Long-term Treasury bonds are not being abandoned

The other side of the dynamic lies in longer-dated sovereign debt. Although net purchases of long-term Treasury bonds and notes trailed equities, foreign investors still acquired a net $306.4 billion of these instruments during the 12 months through August 2026.

However, the headline figure masks significant disparities among market participants. Private investors accounted for $296.5 billion in net purchases, while official institutions purchased just $9.9 billion.

Consequently, softer relative demand for long-term sovereign debt should not be interpreted as a wholesale retreat from the market. The private sector maintained substantial purchasing volume. U.S. sovereign debt fulfills functions that cannot be substituted directly by equities: it serves as a global benchmark, underpins interest rate formation, and facilitates liquidity management, hedging, and diversification.

Nonetheless, long-term bonds carry substantial valuation sensitivity to interest rate shifts. Rising yields erode the price of existing debt, especially for securities with higher duration.

For a portfolio manager, allocating between stocks and sovereign bonds involves more than return expectations; it requires evaluating portfolio duration, cross-asset correlations, and the role each position plays across diverse economic regimes.

In this context, equity demand may reflect a pursuit of capital appreciation, while bond purchases address capital preservation, income generation, or risk mitigation. Both strategies often coexist within the same allocation framework.

The scale of foreign buying suggests that global investors are leaning heavily into the earnings outlook of U.S. corporations. Yet there is a critical distinction between capital inflows into a market and the returns that market ultimately delivers.

The $1.01 trillion in net equity purchases over the 12 months through August represents an investment flow rather than realized investor gains. Portfolio performance depends on price trajectories, dividends, transaction costs, fees, and, for non-U.S. investors, currency fluctuations.

Moreover, flow data alone cannot isolate the catalyst for each transaction. Capital movements may be driven by growth expectations, index rebalancings, strategic asset allocations, or tactical maneuvers.

This distinction is particularly relevant when assessing whether anticipated corporate earnings growth justifies current valuations. Strong inflows can bolster equity demand, but they do not guarantee attractive entry points or the continuation of past returns.

Evaluating these flows requires contextualizing them alongside valuation multiples, earnings forecasts, sector concentration, and core risk exposures.

Concentration on Wall Street introduces another challenge

International capital flows cannot be analyzed in isolation from the structural composition of the U.S. equity market.

Benchmark indices feature heavy weightings in mega-cap corporations, particularly within technology and digital services. For foreign investors, acquiring U.S. equities often increases exposure to companies dominating global end-markets with long-term secular growth profiles.

However, that concentration increases reliance on a narrow cohort of firms and shared drivers, such as artificial intelligence adoption, infrastructure capital expenditures, discount rates, and corporate margins.

The data does not disaggregate foreign purchases by sector, index, market capitalization, or investment style. It cannot be assumed that the $1.01 trillion flowed exclusively into mega-cap tech.

What it does raise is a core portfolio question: to what degree does rising U.S. exposure enhance diversification versus amplifying pre-existing vulnerabilities?

A portfolio holding numerous positions can remain highly concentrated if a significant share of its holdings depends on identical macroeconomic drivers. Similarly, exposure to U.S.-listed multinationals with global revenue bases does not necessarily provide full geographic, currency, or economic cycle diversification.

For institutional allocators, including pension funds, insurers, and family offices, this distinction is paramount. The objective extends beyond capturing equity upside to constructing resilient structures capable of weathering adverse market environments without jeopardizing liabilities.

The dollar remains central to the equation

For non-dollar-denominated investors, total returns from U.S. equities are intrinsically tied to currency fluctuations.

A portfolio can generate positive dollar-denominated returns while underperforming in base-currency terms if the greenback depreciates. Conversely, dollar appreciation enhances domestic-currency returns.

This dynamic is especially acute for Latin American investors whose portfolios often blend dollar-denominated assets with local-currency liabilities, living costs, and wealth preservation targets.

Currency exposure can be maintained intentionally as a diversifier or mitigated via hedging instruments. The choice hinges on investment horizons, hedging costs, liquidity considerations, and foreign exchange expectations.

Current net purchase data does not indicate whether recent inflows reflect an explicit structural bet on the U.S. dollar. Verifying that premise would require cross-referencing FX market positioning and investor-level holdings.

Similar care applies to geographic capital origins. Custody-based recordkeeping means the jurisdiction where an investment is booked does not always correspond to the beneficial owner’s primary country of residence, complicating precise geographic attribution.

For cross-border wealth managers, this reinforces the importance of distinguishing between booking center location, investment vehicle domicile, and beneficial owner residency.

The scale of international buying highlights a central challenge: capturing U.S. equity upside without letting a favorable trend become an unhedged source of concentration risk.

The solution does not lie in mechanically trimming equity allocations or blindly ramping up bond exposure. It depends on client objectives, investment horizons, liquidity demands, and drawdown tolerance.

For an institution with long-dated liabilities, higher equity exposure can align with real capital preservation objectives. For a mandate facing near-term distributions, reducing cash buffers or taking on excessive equity beta can prove counterproductive.

Stress-testing adverse scenarios is equally vital: decelerating earnings growth, shifts in rate expectations, valuation drawdowns among mega-cap leaders, or dollar depreciation against base currencies.

Within this framework, equities, corporate credit, sovereign debt, and Treasury bills do not operate purely as competing allocations. They serve complementary functions across growth, income, liquidity, and risk mitigation.

For asset allocators, the imperative is assessing whether current portfolio weights reflect long-term strategic targets or whether they have tilted, deliberately or inadvertently, toward the market segments capturing the highest capital momentum.

The data leaves little doubt regarding aggregate direction: U.S. equities have absorbed an extraordinary volume of global capital. In the 12 months through August 2026, net purchases totaled approximately $1.01 trillion, compared to $464.1 billion in corporate debt and $306.4 billion in long-term Treasury bonds and notes.

Over the same timeframe, foreign holdings of Treasury bills fell by a net $23.9 billion. Within that category, official institutions reduced holdings by $99.4 billion, while private investors expanded positions by $75.5 billion.

This divergence demonstrates that global capital does not behave as a monolithic bloc. Private investors and official institutions operate with distinct mandates, and asset-class shifts stem from underlying drivers that aggregate flows alone cannot fully describe.

The conclusion is not that international investors are abandoning fixed income to chase equities. The figures point to something far more specific: a pronounced preference for equities alongside substantial allocations to corporate and sovereign debt, coupled with a net contraction in select short-term instruments.

For allocators and wealth managers, the key takeaway is not simply tracking capital into Wall Street, but evaluating the underlying risks embedded in that momentum, the ongoing role of underweight assets, and whether portfolio allocations remain aligned with core investment mandates.

FlexFunds: What Could Be Holding Back The International Expansion Of Your Investment Strategy?

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An asset manager may have a well-established investment strategy and a solid track record, yet run into difficulties when it decides to expand its international reach. In many cases, the obstacle lies not in the portfolio or in the investment decisions, but in the vehicle or structure used to scale the strategy.

The chosen structure can facilitate access to certain custodians and platforms or, on the contrary, limit growth opportunities. For managers looking to reach new channels, this is an issue worth resolving before starting their expansion.

When a strategy needs to go further

Consider an asset manager that manages a portfolio through a brokerage account and wants to offer international investors access to that same strategy.

Even with a track record and a defined management methodology, it may find that the custodians used by its potential investors do not allow direct access to the existing structure.

Replicating the portfolio across different accounts would be one alternative, but it would also mean managing more processes, coordinating different intermediaries, and taking on additional costs. Another option would be to structure the strategy through a vehicle that can be held and settled through the systems those investors use.

It is not only about having a winning investment strategy, but about finding a structure that facilitates access to it.

This situation is especially relevant in Latin America and US Offshore, where international investments often involve different custodians, platforms, and financial institutions, each with its own operational requirements.

The investment vehicle as a strategic decision

When selecting an investment vehicle, legal, regulatory, and tax considerations usually take up a good part of the analysis. But there are other issues that can prove decisive, especially when the manager seeks to expand its international reach.

One of them is the instrument’s identification. Having an ISIN code allows a security to be recognized in a standardized way across financial systems. Its compatibility with the custody and settlement mechanisms used by intermediaries also matters, as does the availability of information for its valuation and monitoring.

That said, having an ISIN or being able to settle an instrument through an international system does not mean it is automatically available to any investor. Its accessibility will depend on the conditions set by each intermediary and on the regulations applicable in the relevant jurisdictions.

That is why the choice of vehicle should take into account not only the assets that make up the portfolio, but also who its potential investors will be, where they operate, and through which channels they access their investments.

Securitization: An alternative for broadening the reach of strategies

Asset securitization offers an alternative for managers who need to adapt the structure of their investments to new access channels. Through this mechanism, certain portfolios are repackaged into investment vehicles backed by the underlying assets.

One of its applications is the issuance of ETPs with an ISIN identifier which, depending on the conditions of each issuance, can be integrated into international custody and settlement systems such as Euroclear or Clearstream.

Let’s return to the example of the asset manager that runs its strategy from a brokerage account. Instead of replicating the portfolio across different accounts, it could consider repackaging it into an ETP. This way, eligible investors could gain exposure to the strategy through a financial instrument, provided their intermediaries allow them to trade it.

This approach can facilitate access to an existing strategy without having to modify its investment policy, while also allowing certain administrative and operational processes to be centralized.

FlexFunds works precisely in this area, creating and coordinating investment vehicles through asset securitization. Its solutions enable managers to repackage their strategies into ETPs and integrate them with certain international custodians and platforms. The company coordinates the processes related to the issuance and administration of the vehicles, while the manager stays focused on its investment decisions.

What should a manager evaluate before internationalizing its strategy?

The choice of vehicle should not be based solely on setup costs or launch timelines. It is also necessary to consider how the structure will perform as the strategy expands its international reach.

Before making a decision, it is worth asking three questions:

Is it compatible with the custodians and intermediaries you intend to access?

It is not enough for the instrument to have an international identifier. It is necessary to verify that it can be incorporated into the custody and settlement systems used by the target intermediaries and that it meets their operational requirements.

Does it meet valuation, administration, and reporting needs?

Valuation mechanisms, the availability of periodic information, and coordination among service providers are fundamental to maintaining consistent and transparent operations.

Can it support the strategy’s growth?

A structure suited to one portfolio and a limited number of investors may become less efficient as markets, issuances, or operational needs increase. For this reason, it is worth evaluating recurring costs and the structure’s capacity to absorb that growth.

The choice of vehicle should address both the manager’s current needs and their expansion goals.

A decision worth making early

Internationalizing an investment strategy requires identifying opportunities, understanding the particularities of each market, and building relationships with the right intermediaries. But it also requires verifying that the chosen vehicle meets the operational needs of those channels.

Leaving this decision until an advanced stage of the process may force a review of structures, additional costs, or delayed access to certain markets.

An investment strategy may have the potential to grow internationally, but the structure used to implement it can determine how far it can go.

FlexFunds’ guide “Internationalization of investment strategies through asset securitization” analyzes the main barriers to international expansion and the structuring alternatives that can help managers broaden the reach of their strategies. Download the full guide

 

Janus Henderson and Centrifuge Launch Blockchain-Native Fund Tracking the Nasdaq 100

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JQQQ has launched as the first blockchain-native fund providing exposure to the Nasdaq-100 Index through an issuer-sponsored investment strategy. The fund is designed for issuance and operation on public blockchain infrastructure, combining institutional investment standards with new distribution channels and onchain composability, while offering competitive fees.

The fund is powered by end-to-end infrastructure for onchain funds. Seeking to replicate the Nasdaq-100 Index, it marks an important evolution in tokenization: rather than merely mirroring existing securities on blockchain networks, investment products are being built natively onchain. This approach preserves established investment management standards while unlocking novel capabilities, including programmable portfolios, integration with digital financial applications, and the ability to utilize fund shares as collateral across onchain markets.

As one of the world’s top five providers of tokenized funds, the onchain platform now includes over 1,000,000,000 dollars in institutional strategies across U.S. Treasuries, structured credit, and public equities, expanding to encompass one of the most recognized equity benchmarks globally.

As investors explore new ways to access markets through digital infrastructure, demand continues to grow for exposure to established and transparent benchmarks. The Nasdaq-100 Index has long served as the foundation for a wide range of investment products, supporting the continuous evolution of index-based investing as it expands across an ever-widening array of investment structures.

Native onchain issuance transforms what an investment fund can become. Beyond providing digital access to an established investment strategy, an onchain fund can interface directly with new distribution channels and financial applications, unlocking the potential for programmable vaults, onchain portfolios, collateralization, lending, and structured products.

Tokenization becomes vastly more powerful when the assets investors want to hold can also serve as the building blocks of an onchain financial system, bringing the Nasdaq-100 Index to the onchain ecosystem as a licensed, issuer-sponsored institutional investment product.

The fund is launching exclusively on the Stellar network, where real-world assets surpassed 4,000,000,000 dollars in 2026. The network has cultivated an increasingly diverse institutional asset marketplace spanning tokenized U.S. Treasuries, sovereign debt, money market funds, credit, and other financial instruments.

Bringing the Nasdaq-100 to the blockchain demonstrates how far tokenization has evolved—from cash-equivalent assets to the benchmarks that define global equity markets. The underlying infrastructure was purpose-built for regulated finance, setting the stage for additional products of this type.

Christine Lagarde to Step Down as ECB President on February 7

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Christine Lagarde, President of the European Central Bank (ECB), tendered her resignation today, putting an end to months of speculation regarding her future and coinciding with a period of growing economic volatility and polarized electoral politics in Europe. Lagarde will step down from her post on February 7, nine months before her term officially concludes, granting current European Union leaders time to select her successor.

This decision comes at a moment when the ECB confronts inflation risks stemming from an oil shock triggered by the war in Iran, while a sharp surge in bond yields, particularly in France, threatens to dampen growth. “I leave this institution with the sense of having accomplished good work and that the ECB is prepared for the future,” stated Lagarde, 70, in a brief video shared on social media.

According to Reuters, sources close to the matter stated that Lagarde, a former French finance minister and former managing director of the International Monetary Fund, resigned to engage in political affairs both in France and globally. As ECB President, she was expected to maintain neutrality to protect the institution’s independence. Lagarde herself has not commented directly on these matters. The news agency notes that she has previously stated she would not run as a candidate for the French presidency, but would defend pro-European values in her home country “from whatever position” she deemed most effective.

European Council President António Costa stated that the process to select Lagarde’s successor will commence immediately. This appointment is likely to form part of a broader package of senior leadership roles at the ECB, including the Executive Board seat held by Isabel Schnabel, who will step down in early January, and that of Chief Economist Philip Lane, whose departure is scheduled for May. Former central bank governors of the Netherlands and Spain, Klaas Knot and Pablo Hernández de Cos, are widely regarded as the leading candidates to succeed Lagarde.

Expert commentary

Lale Akoner, Global Market Strategist at eToro, noted that Lagarde’s departure “adds uncertainty at an inopportune time,” with inflation running high and French sovereign bonds under pressure. However, she acknowledged that the muted initial market reaction suggests investors anticipate policy continuity rather than an abrupt shift in direction. She also considers the succession meaningful both for interest rates and for the ECB’s response to bond market strains. “Knot could be perceived as favoring a more restrictive policy and a higher intervention threshold; meanwhile, De Cos could be viewed as more willing to act. These perceptions could influence the euro and French bond spreads, although neither candidate decides monetary policy alone,” Akoner concluded.

For his part, Matthew Ryan, Head of Market Strategy at Ebury, agreed that the timing is far from ideal for the ECB, as “it comes against a backdrop where the war in Iran keeps inflation well above the central bank’s target, a situation likely to persist for some time.” Furthermore, he emphasized that European debt markets are also experiencing acute strains, with the yield spread between French and German bonds reaching its highest level since 2011.

He likewise considers Klaas Knot and Pablo Hernández de Cos to be the front-runners to succeed her. He views Knot as favoring tighter monetary policy that would likely bolster expectations of further interest rate hikes, potentially supporting euro appreciation. Meanwhile, he regards Hernández de Cos as possessing a more dovish monetary profile, likely placing greater weight on economic growth and debt market stability, “a consideration particularly relevant amid severe pressures on French sovereign debt.” Even so, he does not foresee the transition in the ECB presidency altering the near-term interest rate path, noting that while the president sets the institutional agenda, “ultimately their vote is just one within the Governing Council and rarely overrides consensus,” though he also acknowledged that a protracted succession process could introduce additional market volatility during a fragile juncture. “Therefore, the sooner the successor is announced, the better,” he concluded.

Meanwhile, Konstantin Veit, portfolio manager at PIMCO, does not rule out that, among the potential replacements, “preference may be given to a centrist candidate who mirrors the inclusive, consensus-driven leadership style demonstrated by Lagarde,” highlighting “the ECB’s steadfast commitment to a framework-based approach, reaffirmed in the 2025 monetary policy assessment, which tends to reduce individual influence.” Given that the reaction function is transparent and unlikely to change, he anticipates no significant investment implications resulting from Lagarde’s departure.

Similarly, Conor Parle, Eurozone Economist at Fidelity International, stated that both Hernández de Cos and Klaas Knot “would bring continuity to the helm of the ECB and are regarded as highly respected voices in economics and central banking.” However, should De Cos or Knot be appointed, he considers it probable that German and French officials would fill the remaining Executive Board seats.

U.S. Elections: What Markets Are Pricing In and Questions Surrounding Debt and the Budget

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Markets are already pricing in that Democrats could gain control of the House of Representatives, while the Senate remains more complicated terrain. This is highlighted by AllianzGI in its analysis of the upcoming November 3 legislative elections, citing data from Polymarket and Bloomberg: a 64% probability of a complete Democratic victory, 28% for a divided government, and 8% for a Republican sweep. UBS Global Wealth Management is more cautious: 50% for a Democratic Congress, 40% for a divided government, and 10% for a Republican win.

Beyond the outcome, both firms agree on where the key questions raised by the election are concentrated: debt and the budget, with potential impact on interest rates and the dollar, rather than a shift in fiscal direction. “We are not making any changes to our portfolio allocations around the midterm elections,” stated Kurt Reiman, Head of Fixed Income Americas and leader of Election Watch at UBS Global Wealth Management, during a panel discussion attended by Funds Society.

What markets are pricing in

According to AllianzGI, Republicans currently hold a three-seat majority in the Senate and a one-seat edge in the House, and Democrats would need to gain four seats in the upper chamber. The asset manager stresses that the president’s party has lost these elections in 18 of the last 20 cycles, and Donald Trump’s net approval rating sits around -25 points. Reiman maintained that there is no major difference between a divided government—with Democrats controlling only the House—and one with Democrats holding both chambers. Where it does matter, he noted, is in presidential appointments, judicial nominations, and budget reconciliation. Because the likelihood of a veto-proof Democratic majority is very low, UBS expects a period of legislative gridlock. According to its analysis, equities perform reasonably well during such periods, though Reiman dismissed this as an absolute rule: “We push back against the notion that gridlock is necessarily good.”

If Democrats were to win the Senate by more than one or two seats and the House by a margin of a dozen or couple dozen seats, Reiman acknowledged there could be short-lived equity weakness driven by the prospect of increased regulation. Nevertheless, he considered that volatility would dissipate quickly and markets would refocus on fundamentals: the economy, monetary policy, fiscal policy, inflation, and, above all, corporate earnings.

Debt and the budget: the concerning calendar

AllianzGI identifies the December 11 funding deadline and the debt ceiling “cliff” in the spring of 2027 as immediate risks. In a divided Congress, it explains, the ability to pass measures beyond baseline funding would be constrained, and volatility would tend to increase as those dates approach.

Jonathan Pingle, Chief U.S. Economist at UBS Investment Bank, pointed in the same direction: “Democrats will hold certain bargaining power, whether around raising the debt ceiling, passing budgets, or simply around broader spending measures, such as trying to keep the lights on in the federal government.” His expectation is that concessions will be negotiated around cuts that are already taking effect: shifting a portion of Medicaid costs to the states, work requirements for SNAP, and the ACA subsidies that expired last year.

Asked about the likelihood of Democrats utilizing this lever—a tactic historically associated with Republicans—Pingle answered that he expects them to “use it or try to use it.” He added that Republicans have discussed raising the limit during the lame-duck session via reconciliation, though they have yet to reach consensus on a plan. Reiman described a potential compromise: increased defense spending for Republicans in exchange for deferring part of the cuts to Medicaid and social programs.

Bonds and interest rates

According to AllianzGI, the risks of a divided Congress would tend to concentrate in short-dated Treasuries and the short end of the curve. Each flare-up in tension could temporarily lift both the U.S. dollar and gold, though it is unlikely to cause lasting changes.

Reiman assessed that the bond market “is pretty well positioned right now.” He attributed the summer uptick in yields more to stronger economic growth and higher-than-expected inflation than to fiscal concerns, noting that the market is already pricing in “three or four additional rate hikes” from the Fed. He explained that building an intermediate-duration portfolio with modest credit risk yielding around 6% is achievable “fairly easily.” UBS favors credit (investment grade and high-yield corporate bonds) and securitized products, while modestly extending duration via preferred securities.

Pingle described the fiscal outlook as “bleak” and estimated that the yield shift since the beginning of the year, relative to the latest CBO projections, implies more than 2,500,000,000,000 dollars in additional net interest spending over ten years. He voiced skepticism that this Congress will address the issue legislatively.

The dollar and the Federal Reserve

AllianzGI outlines three scenarios for the dollar. In a divided outcome, episodes of tension could provide a temporary lift. In a Republican sweep across both chambers—which it considers the most deficit-expansive outcome—it anticipates higher Treasury issuance, rising term premia, a steeper curve, and a stronger dollar in the near term. In a full Democratic sweep, a risk-off reaction would cause a modest steepening of the curve.

On the institutional front, Pingle recalled that since the Reagan administration, at least one cabinet-level resignation typically occurs shortly after the midterms. With a Democratic Senate, the opposition would control the confirmation of replacements. For the Federal Reserve, he stated, that “will ease concerns regarding Fed independence.” He further projected that up to four members of the Board of Governors and the FOMC could depart before early 2028.

For AllianzGI, the equity market reaction to a Democratic Congress would depend on the prominence of the progressive wing. Markets could react negatively if momentum builds around regulating artificial intelligence and data centers, wealth taxes, or Medicare for All. More moderate priorities, such as reversing SNAP or Medicaid cuts, could benefit the healthcare and consumer staples sectors. Under the Republican scenario, defense, financial services, and energy would stand as the primary beneficiaries.

Reiman noted that an unexpected increase in defense spending could support industrials—a sector favored by UBS—and cited hospitals and medical device companies if spending cuts are delayed. He clarified that they do not advise buying these sectors purely on the election outcome.

What does not change

AllianzGI maintains that under any of the three outcomes, fiscal consolidation is practically off the table, and over the longer term, the greatest threat remains mandatory spending. It adds that the Executive branch will continue to rely heavily on direct action, a point echoed by Reiman: the White House’s use of foreign and trade policy “is unlikely to change much.” He noted that tariff revenues that had been taken for granted are being refunded following a February ruling on the IEEPA, and that legal challenges to replacement measures could worsen the fiscal picture.

Regarding artificial intelligence, Reiman noted that data centers represent “the physical, tangible manifestation” of voter concerns and does not view a blanket moratorium as likely, though tax incentives may disappear. UBS expects CapEx to expand next year. AllianzGI agrees that the election outcome is unlikely to significantly slow the expansion of computational capacity.

Build, Acquire, or Outsource: Decisions Firms Must Make to Grow in the HNW Segment

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Moving upmarket requires wealth management firms to adopt a broader suite of services, yet the most critical capabilities—such as tax, trust, and estate planning—are also the most costly to scale and the most prone to being outsourced. According to the latest edition of The Cerulli Edge—U.S. Advisor Edition, the firm anticipates that practices capable of properly evaluating the trade-offs between building in-house, buying, or outsourcing will increasingly stand apart as margin pressure intensifies.

The rapid concentration of wealth in the United States over the past decade has heightened demand for more sophisticated wealth management and investment services. High-net-worth (HNW) households—those with more than 5,000,000 dollars in financial assets—are estimated to account for 57% of total U.S. household financial wealth by the end of 2025, up from 43% recorded in 2019.

To capture this expanding opportunity, firms seeking to outperform peers have pivoted their business models toward wealthier clients, a shift that requires overhauling their traditional service delivery frameworks.

“The services that make the biggest difference are also the most operationally burdensome to deliver and, consequently, the most expensive to bring to market,” noted Chayce Horton, associate director. “As a result, nearly all the critical services considered indispensable for moving upmarket are also the most likely to be outsourced by high-net-worth practices.”

On average, high-net-worth advisors report outsourcing between three and four services. Tax planning tops the ranking (55%), followed by trust services (40%), risk management and insurance (39%), and estate and legacy planning (37%).

Cerulli advises firms targeting the upper tier to avoid assuming that an expanded service catalog must be built and managed internally.

“Scale largely dictates where that line falls: large entities can support a deeper bench of internal resources, mid-sized firms tend to formalize integrations or acquire capabilities outright, and those below that tier are best served maintaining their core specialization and partnering or sourcing value from the market,” stated Horton. “As the wealth management industry continues its push upmarket and the ecosystem of independent specialists broadens, firms will need to rigorously assess which capabilities make sense to build internally, acquire, or contract through strategic partnerships,” he concluded.