U.S.-Listed ETFs Head Toward $2T in Investment Inflows in 2026

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Pixabay CC0 Public Domain

Changing the clock does not alter the amount of sunlight. It simply shifts when we enjoy it. In the financial realm, adjusting the investment calendar operates in a very similar fashion.

“Moving from October to November does not erase the trends that defined October. Likewise, transitioning from 2026 to 2027 will not suddenly make artificial intelligence, inflation, fiscal deficits, geopolitical fragmentation, or higher interest rates disappear. What can change is how and where investors experience them.” Thus, in the case of AI, “the opportunity could broaden from the companies building the infrastructure to those utilizing it to enhance productivity. Consequently, biotechnology emerges as an area of interest.”

In fixed income, elevated yields provide significant income, yet persistent interest-rate pressures advise caution regarding duration risk and favor focusing on short-duration exposures. At the portfolio level, a world where inflation and macroeconomic shocks can simultaneously pressure stocks and bonds “reinforces the need for broader diversification tools that help provide greater resilience against inflation.” Ultimately, “it is not so much about predicting the next market regime as it is about building a portfolio capable of adapting to it.”

This repositioning can be uncomfortable, as it requires expanding sources of return, managing risk deliberately, and diversifying based on growth and inflation outcomes.

General flow overview

After logging its worst monthly performance in over 4 years, core aggregate bonds delivered their best monthly performance in over 3 years, climbing by more than 2.4% in October. Just as this reversal occurred, fixed-income ETFs recorded their largest capital inflows in history for a single month, with a record haul of $74B. This also marked the 6th consecutive month with inflows exceeding $50B, setting an all-time record (prior to this year, a single month exceeding $50B had never been recorded).

The robust October intake, combined with this streak of $50B+ months, propelled year-to-date fixed-income ETF inflows beyond $542B, on track to reach $660B by year-end. These inflows have been driven by a more balanced mix of both low-cost and active fixed-income ETFs. This marks a shift from prior years, when low-cost vehicles commanded a higher share of inflows, reflecting the growing adoption of active fixed-income ETF strategies within portfolios.

These record bond flows also showed depth: 76% of fixed-income ETFs logged inflows in October, outpacing the historical 73% average and aligning with the 2026 average of 78%.

The scale, depth, and breadth of bond flows explain why fixed-income ETFs stand as one of the long-term growth engines of the exchange-traded fund industry.

Indeed, this record intake of $74B into fixed-income ETFs propelled broader ETF industry subscriptions to $211B in October, marking the 2nd-highest figure in its history. Consequently, year-to-date net investment inflows across the U.S.-listed ETF industry stand at $1.75T. Ultimately, the milestone of $2T in inflows by the close of 2026 is increasingly within reach.

Asset classes: major flows in key segments

The 2 primary asset classes led industry flows, while the other 5 smaller asset classes registered net outflows. Both equity and fixed-income ETFs crossed major milestones in year-to-date cumulative flows in October: inflows into equity ETFs surpassed $1T, while fixed-income ETFs exceeded $500B.

Among smaller asset classes, commodities remained a bright spot, driven by both energy-focused exposures (+$724M) and broad commodities (+$481M), while gold recorded outflows (-$700M).

The broad commodities category logged its 16th month of inflows out of the last 17, as investors seek opportunities to add inflation resilience to their portfolios. October inflows also lifted the year-to-date total to $7.6B, just $528M shy of the previous annual record of $8.1B set in 2021, with 2 months remaining in the year.

Equities: domestic market bias

At the start of October, non-U.S. equity ETFs were capturing roughly 35% of all equity ETF flows—a share above their market weight that signaled investors were seeking greater geographic diversification after years of heavy concentration in U.S. equities.

However, that trend reversed in October, as 80% of all equity flows last month were allocated to U.S. equity exposures.

This aligns with October performance patterns, where the U.S. outperformed the rest of the world following notable declines in Europe and across select emerging markets, such as China and Brazil.

Nevertheless, emerging-market weakness did not stall inflows into the asset class, nor did it reverse the longer-term trend of broader emerging markets outperforming the U.S. over the past 12 months (12% versus 11%).

Emerging-market ETFs logged $4B in inflows in October, marking the 20th month of net subscriptions over the last 21 months. Year-to-date inflows of $56B already represent an annual record. Emerging markets also played a central role in single-country fund flows.

Of the $5.7B allocated to single-country ETFs, Brazil-focused funds captured $3B. These flows likely reflected long-to-lend trades—an example of the multifaceted role ETFs can fulfill—as market participants sought to hedge or short the Brazilian equity market following unexpected election outcomes.

Sectors: Technology versus Energy

A monoculture describes a scenario where a single theme dominates broad segments of society simultaneously. The rise of artificial intelligence and its societal footprint represents a clear monoculture theme. This dynamic is mirrored across this year’s sector flows: October’s $7.4B inflow into technology ETFs lifted 2026 inflows to an industry-leading $66B, representing 70% of all sector flows.

In practice, a monoculture does not imply that secondary themes cease to exist; rather, they operate outside the primary headlines. A monoculture can evolve into a dual-theme dynamic, where multiple dominant trends take root with overlapping drivers.

Investment inflows into the energy sector—a critical segment influenced by the conflict involving Iran and central to powering AI infrastructure buildouts—exemplify this dual narrative: energy ETFs captured nearly $3B in October, lifting year-to-date inflows past $12B. This represents the largest annual inflow recorded for energy ETFs and marks the first positive calendar-year subscription total in 4 years. Given the sector’s historical volatility and with 2 months left in the year, these figures may fluctuate further.

The healthcare sector recorded $2.4B in October inflows—an AI-adjacent sector that entered the earnings season facing modest expectations. Healthcare companies substantially surpassed these targets, delivering the largest positive earnings surprise across all sectors at 13.15%.

Bonds: new month, familiar trends

Fixed-income flows can be parsed into 3 primary drivers: duration, credit, and inflation. In each segment, October dynamics mirrored trends seen throughout the year: a preference for limiting duration risk persisted without abandoning it entirely, evidenced by just $287M flowing into long-term Treasury ETFs; credit-sensitive sectors captured $10B in inflows, supported by economic growth and solid corporate fundamentals; and investors continued building inflation resilience, directing $2.6B into inflation-protected bond ETFs in October, marking the 21st positive month out of the last 22. Year-to-date inflows have reached $16B, the 2nd-highest volume on record behind the $40B peak in 2021.

Outside these 3 core categories, municipal bond ETFs experienced a notable increase in inflows. Monitoring whether this trend sustains will be key, as broad municipal bond performance has not decoupled meaningfully from core aggregate debt.

Active strategies: selective gains

Active ETFs recorded $66B in inflows in October, pushing year-to-date totals to $637B—a fresh record on pace to hit $750B by year-end 2026. However, growth was uneven across active sub-segments.

The “Other” category registered net outflows last month, reversing an earlier trend of record year-to-date inflows. This contraction was driven by an individual money-market vehicle. Excluding that fund, non-traditional strategies outside core equity and fixed-income hierarchies took in $2.1B, demonstrating sustained interest in alternative exposures.

Core strategies dominated flows within traditional active equity and fixed-income ETFs. Meanwhile, diversified derivative income strategies—those avoiding single-stock concentration—drove the non-traditional equity segment. Inflows of $58B in 2026, paired with $49B directed into dividend ETFs, pushed total equity income inflows above $100B, setting a fresh annual record with 2 months remaining in the year.

The Heir’s Dilemma: The Conviction Gap Threatens the Success of the Great Wealth Transfer

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Photo courtesyGuy Henriques, President of the Client Group for Europe and Asia-Pacific.

A survey conducted among 1,200 high-net-worth and ultra-high-net-worth individuals reveals a deep conviction gap in the midst of the Great Wealth Transfer. According to the findings, 91% of heirs felt pressured into making their first significant financial decision within the first 3 months of receiving their inheritance, even though only 18% reported feeling highly comfortable operating within that initial timeframe. This operational haste, driven by immediate legal and administrative mandates, results in only 19% of beneficiaries reporting full satisfaction with the management of their inherited legacy, highlighting a critical need for the wealth management industry to shift from basic portfolio structuring toward comprehensive strategic guidance.

Receiving an inheritance frequently entails immediate financial, tax, and administrative decisions before beneficiaries have clearly established their long-term objectives. Findings show that this compressed timeline can result in missed allocations, leaving many wishing they had deployed a greater share of their capital into productive market assets. Trusted advisory relationships play a central role in mitigating this complexity, providing the framework needed to make deliberate decisions and establish structured, long-term investment strategies across generations.

The two-speed trap

The findings reveal a structural mismatch defining the wealth transfer process: a two-speed operational dynamic. On one hand, an accelerated clock is activated by tax obligations, probate mandates, and urgent liquidity reorganizations. On the other, a much slower clock operates—one required for the beneficiary to assess capital allocation, define core objectives, and align portfolios with personal and family values.

Counterintuitively, managing a larger balance does not yield additional time for deliberation. Nearly 90% of individuals inheriting between $25M and $100M were required to execute critical financial decisions within a few weeks, compared to under 10% of those receiving between $100,000 and $500,000. The operational complexity of ultra-high-net-worth estates—comprising private operating business equity, real estate holdings, private market vehicles, and illiquid holdings—compresses decision timelines due to governance requirements, asset valuations, and estate tax liabilities.

This initial urgency creates long-term frictions. Up to 60% of respondents acknowledge they wish they had allocated a higher percentage of their inherited capital into capital markets (equities, fixed income, mutual funds, or ETFs) and retirement vehicles—a sentiment rising to 67% among women. Furthermore, while 61% cite founding or expanding a business as their primary wealth ambition, only 1 in 5 heirs reports successfully realizing their long-term financial and personal goals.

Analysis paralysis and the execution gap in financial advice

The execution deficit observed among heirs does not stem from an absence of advice, but rather from information overload. Nearly half of respondents (49%) identify an excess of options and conflicting recommendations as their primary hurdle, triggering analysis paralysis.

As a direct result, only 48% of investors fully implement the recommendations delivered by their financial advisors. This stands in contrast to the 79% implementation rate documented among clients who successfully met their long-term milestones. The differentiating variable lies in relationship equity: 78% of respondents highlight that a pre-existing, established relationship with the advisor was the decisive factor during the transfer phase, with 88% placing high value on advisors who provide structural and emotional reassurance alongside technical analysis.

Female investors: cross-validation and expanded trust ecosystems

Female beneficiaries are leading a structural shift in wealth decision-making. Women surveyed demonstrate a significantly higher propensity to require that portfolios reflect their personal values (56% versus 47% of men) and maintain more conservative, diversified allocations, prioritizing mutual funds, indexed instruments, and ETFs over speculative assets.

Rather than relying on an isolated source of advice, female heirs establish multi-layered validation models. They supplement professional wealth advisory inputs by leveraging personal networks (78% consult friends or family, compared to 68% of men) and digital tools (73% versus 62%). Technological integration is particularly pronounced: 69% of women deploy artificial intelligence applications to model scenarios and backtest investment alternatives (versus 56% of men), a figure that climbs to 87% among those with inheritances below $500,000.

Generation Z: financial pragmatism and shifting advisory loyalties

The participation of Generation Z is disrupting traditional retention patterns within private wealth management. Fully 54% of younger heirs chose to replace their family’s historical financial advisor after receiving their inheritance, seeking professionals offering greater generational affinity, aligned values, and direct digital interaction channels. In fact, 96% of this cohort demands advanced technology platforms and real-time portfolio monitoring from wealth management firms.

Generation Z’s portfolio allocation reflects distinct commercial pragmatism: 24% invest purely based on nominal financial returns, nearly 5 times the 5% rate observed among Baby Boomers. Simultaneously, they lead in allocating to alternative digital assets: 33% have directed a portion of their inheritance toward cryptocurrencies and digital assets, compared to 12% among older demographics.

Manhattan? No. Offshore Paradise Is Already Trading at Gold Prices

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The influx of private banks, family offices, asset managers, and international capital in recent years has elevated the real estate appeal of prime U.S. financial enclaves tied to wealth management, such as Miami and Texas.

In Miami, office rents across the Brickell financial corridor now exceed those of a large portion of Manhattan, while the luxury residential tier commands multi-million-dollar price points.

Texas provides investment and residential alternatives; while its real estate preserves a different pricing structure, real estate price appreciation over recent years remains substantial.

The concentration of wealth carries costs extending beyond portfolio management, tax structuring, international diversification, or retaining specialized advisors. It is directly reflected in the cost of physical real estate required by substantial fortunes to operate, invest, reside, and preserve capital.

Miami and Texas have become 2 prominent destinations for international capital, particularly from Latin America.

The former has solidified its standing as a financial platform serving global wealth, while the latter has gained traction as a corporate, residential, and commercial real estate investment hub.

However, growth across these markets carries an increasingly visible consequence: securing space across their most sought-after locations demands capital outlays out of reach for many firms, retail allocators, and high-net-worth families.

In Brickell, Miami’s financial epicenter, prime Class A office rents now rival those in Manhattan. In South Florida’s residential sector, entering the top 5% of single-family home transactions requires deploying over $3M, while the top 1% tier exceeds $10M.

Texas presents a distinct dynamic. While its property markets generally maintain more accessible entry points than South Florida’s prime enclaves, international demand expansion, multi-million-dollar transactions, and metropolitan growth are cultivating an expanding luxury segment.

The paradox is clear: locations providing high-net-worth capital with vehicles to diversify and safeguard wealth are concurrently transforming their underlying real estate into increasingly costly asset classes.

Brickell: commercial real estate trading as a luxury asset class

Few submarkets illustrate Miami’s multi-year structural transition better than Brickell.

The district has evolved from a conventional cluster of commercial bank branches into an international financial services ecosystem encompassing private banking, wealth management, private equity, independent registered investment advisors, legal practices, and single- and multi-family offices.

Demand stems not only from domestic corporate relocations from legacy financial centers, but also from the operational requirement among wealth managers to maintain physical proximity to their underlying cross-border client base.

The pricing data confirms this transition. Average asking rents in Brickell reached $79.70 per square foot in July 2026, surpassing the $72.00 recorded for Manhattan as a whole.

Within Miami’s broader central business district, asking rents averaged $78.40.

This premium is pronounced relative to the greater metropolitan Miami average of $60.30 per square foot, reflecting the substantial spread demanded for prime location and top-tier asset quality.

To contextualize the capital outlay, a 2,000-square-foot office footprint in Brickell at headline asking rates commands roughly $159,400 annually, prior to tenant improvement allocations, escalations, operating expenses, and contract-specific variables.

That momentum persisted through the third quarter of 2026, with overall Miami Class A office asking rents reaching $74.77 per square foot, marking a 6.1% annual increase.

Concurrently, direct vacancy compressed to 13.9%, a 6-year low, alongside approximately 1.8M square feet of active development pipeline—confirming continued institutional demand for prime square footage.

Capital asset valuations reflect similar appreciation. In October, 801 Brickell—a commercial office tower comprising roughly 437,000 square feet—explored marketing the asset for a transaction value exceeding $400M. That prospective benchmark represents approximately $900 per square foot, setting a potential pricing record for the submarket.

While an exploratory valuation rather than a closed transaction, the pricing guidance illustrates investor appetite for prime, well-located commercial assets within the core financial corridor.

Corporate absorption reinforces this demand profile: Brickell accounted for 25.2% of total Miami office leasing volume during Q3 2026.

Corporate footprint expansions have also accelerated, including major technology platforms scaling local square footage from 10,000 to 45,000 square feet, while non-bank financial institutions continue establishing local outposts.

Securing a physical footprint in Brickell is no longer merely a strategic branding choice. For mid-sized independent wealth advisory practices, asset managers, or family offices, occupancy costs in the district must be weighed against total assets under management (AUM) run-rates and recurring fee income.

Physical location has consequently become a baseline competitive requirement as well as a capital barrier to entry.

Residential luxury appreciation

The transformation extends across the residential sector, illustrating wealth concentration and competition for top-tier residential parcels.

Data covering the luxury segment for the first half of 2026 indicates that entering the top 5% of single-family home transactions in South Florida required a minimum expenditure of $3.3M, up from $2.7M in 2025.

In the ultra-luxury tier—defined as the top 1% of transactions—the cutoff escalated to $10.7M from $7.8M the prior year. Miami-Dade County posted steeper appreciation: the 5% threshold reached $4.3M, while the top 1% threshold reached $15M.

In the condominium sector, the entry point for luxury stood at $2.3M across South Florida, while the ultra-luxury threshold hit $6M, reaching $10M within Miami-Dade.

These metrics reflect entry cutoffs for prime market tranches rather than median residential values across the broader metropolitan area, capturing the upward repricing occurring at the top of the market.

Multiple macro catalysts drive this trend: ongoing net domestic migration of high-earning households from high-tax states, local expansion of high-compensation corporate roles, and growing international wealth flows.

Foreign demand remains an active component, spanning primary residence acquisitions, secondary vacation homes, and wealth preservation vehicles.

International buyers acquired $9B in residential properties across Florida between August 2025 and July 2026, marking a 13% decline from $10.4B in the previous period.

Transaction volume contracted 18%, indicating that higher asset valuations, mortgage rates, and broader macro conditions have moderated cross-border transaction velocity.

Latin America and the Caribbean remained the leading source of cross-border residential demand, representing 39% of total foreign purchases.

Mexico accounted for a significant share: total residential acquisition volume by Mexican nationals in Florida reached $981M, up from $489M in the prior reporting period. Buyers from Brazil deployed $678M, while Colombian buyers accounted for $473M.

Notably, 61% of international acquisitions were executed as all-cash transactions, compared to 48% across all cross-border purchases nationwide. This emphasizes the liquidity profile of cross-border allocators using direct real estate for capital preservation.

It also highlights a widening dispersion: while high-net-worth family capital can absorb multi-million-dollar transactions, carrying costs and capital requirements create barriers for broader international retail capital.

Texas: physical scale, distinct pricing structures, and emerging luxury tiers

While Miami serves as an international private banking hub, Texas offers an alternative macro profile: an expansive state economy, a favorable corporate tax environment, diversified regional real estate submarkets, and major metros acting as corporate hubs.

Dallas-Fort Worth, Houston, and Austin anchor this dynamic, each presenting different sector exposures and commercial real estate profiles.

Dallas-Fort Worth features an established corporate headquarters and private wealth ecosystem; Houston pairs its base in global energy with industrial and business services; Austin concentrates investments tied to enterprise technology and venture capital.

For Latin American capital, Texas provides geographic and asset-class diversification beyond traditional primary markets through luxury residential parcels, undeveloped land, and commercial assets.

However, its positioning as a lower-cost alternative is shifting within its most exclusive submarkets.

Sales of residential properties priced at $1M or higher set an all-time volume record during 2025 across Texas.

The median closing price for properties in this tier reached $1.37M statewide. Dallas-Fort Worth posted the highest median value among the major metropolitan areas at $1.42M, followed by Houston at $1.385M and Austin at $1.325M.

The broader real estate market retains a structural pricing spread relative to South Florida’s core enclaves.

The entry threshold for the top 5% of residential listings was roughly $750,000 in San Antonio, $794,000 in Houston, and $952,000 in Dallas-Fort Worth.

These thresholds contrast with the $3.3M entry barrier required for the top 5% of single-family transactions in South Florida over the first half of 2026.

Texas retains a different ratio of square footage, lot size, and inventory elasticity, particularly outside its most exclusive gated communities and suburban enclaves. Yet international capital deployment continues to expand.

Foreign buyers purchased approximately 7,780 homes across Texas between April 2025 and March 2026, up from 7,500 in the prior 12-month period.

Total transactional volume reached $4B. While down from $4.8B in the previous period, Texas retained its position as the third-largest U.S. destination for international residential buyers, accounting for 12% of total cross-border acquisitions.

Demographic nuances warrant distinction: 62% of these foreign buyers already resided in the U.S. under specialized visas or recent permanent residency status, and 57% acquired properties for primary residential use. The volume is not exclusively speculative offshore capital.

Texas also possesses a structural supply advantage over Miami: greater land availability and fewer geographic constraints across its metropolitan peripheries.

This enables continuous master-planned community development, helping absorb demand and mitigate severe price inflation across intermediate tiers.

However, total cost of ownership remains an essential financial consideration. Higher effective property tax rates, insurance costs, and ongoing operating expenditures represent substantial ongoing commitments on expansive acreage and high-value square footage.

The institutional framework surrounding private wealth

The expansion of wealth infrastructure is driven by structural changes in capital management. Latin American family offices are increasingly adopting multi-asset, institutional operational models, with mandates spanning private markets, cross-border tax planning, family governance, and multi-generational wealth transfer.

Family offices across the region are transitioning from traditional capital preservation toward structured cross-border wealth management strategies.

Miami experiences distinct physical concentration: the intersection of corporate demand, domestic high-net-worth relocations, international capital, and geographic barriers to supply has driven steep pricing appreciation across its primary financial and residential corridors.

Texas maintains greater inventory depth, though its primary metros are establishing substantial luxury segments alongside expanding international demand.

At the national level, foreign buyers acquired 67,100 existing U.S. homes between April 2025 and March 2026, representing $45.3B in aggregate volume.

Mexico represented the second-largest country of origin by transaction volume, accounting for 9,400 properties totaling $5B. Florida captured 20% of all international transaction volume nationwide, while Texas accounted for 12%.

Geographic allocation varies by operational model: while Brickell serves as a concentrated core for firms serving offshore Latin American wealth, Texas-bound capital distributes across Dallas, Houston, and Austin based on corporate ties and target client bases.

As U.S. offshore centers expand, a broader operational challenge emerges: institutional market access and global custody solutions are no longer sufficient differentiators on their own.

Firms must also absorb the capital outlays required to maintain a presence within the premier financial corridors where private wealth aggregates.

In an environment where global wealth prioritizes preservation, structural diversification, and multi-generational continuity, the commercial real estate housing that advisory ecosystem has transitioned from a routine corporate expense into a strategic capital asset and a structural barrier to entry. It is trading at a premium.

Macquarie Asset Management Appoints Marcella Sivilotti Global Wealth Chief Operating Officer

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Marcella Sivilotti, Global Wealth Chief Operating Officer at Macquarie Asset Management.

Macquarie Asset Management (MAM) has announced the appointment of Marcella Sivilotti as Global Wealth Chief Operating Officer, reinforcing the leadership of its expanding global wealth management business. Sivilotti’s arrival follows the recent expansion of MAM’s Global Wealth platform, which has added professionals across sales, investment specialists, product, marketing, and fund operations. Sivilotti brings extensive leadership experience in the asset management industry, having previously directed global strategy and corporate development (M&A) at PGIM.

“Marcella offers a combination of strategic vision and deep asset management expertise that will prove invaluable as we continue to expand our Global Wealth business. We see a significant opportunity to help advisors enhance their clients’ portfolios through the incorporation of private markets solutions. Marcella’s appointment, alongside the ongoing expansion of our international team, represents another pivotal step in our strategy to build a leading private markets solutions platform serving wealth clients globally,” stated Kimberly LaPointe, Head of Global Wealth at Macquarie Asset Management.

Sivilotti’s appointment aligns with the consolidation of Macquarie Asset Management’s presence in the U.S. wealth management space, where it has recently brought on seasoned personnel across core distribution and client-facing roles. The investment in sales personnel, investment specialists, product, and marketing is expected to strengthen and expand partnerships with wealth management firms and financial advisors, delivering innovative investment solutions and bespoke technical education to support their business development.

Commenting on her appointment, Sivilotti added: “Macquarie has a differentiated investment platform and a very clear ambition for its wealth management division. I am proud to join this team and help build upon this solid foundation, expanding the capabilities and solutions we deliver to wealth management firms and financial advisors.”

Scale Is No Longer Enough to Compete in the World of RIAs

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Pixabay CC0 Public Domain

In an environment where U.S. registered investment advisors (RIAs) have experienced substantial growth, industry conditions are shifting. While scale once served as a primary differentiating factor, the business now demands more from firms, according to an analysis by specialized research firm Cerulli.

The RIA channels, detailed in a recent report titled The Cerulli Report: U.S. RIA Marketplace 2026, have grown at a 12% CAGR over the past 5 years. This expansion, the firm explained, was driven by a combination of factors, including strong equity markets, new client acquisition, and inorganic growth.

Looking ahead, however, Cerulli foresees a more challenging backdrop that will compel wealth management firms to stay competitive. “As pure scale becomes less of a differentiator, firms will need to invest across their operations, refining key focuses and modernizing their strategies to remain competitive,” the consultancy noted.

At this growth pace, RIAs are outpacing other U.S. private-client investment models, such as legacy channels, broker-dealers, and wirehouses, at both national and regional levels. Furthermore, Cerulli highlighted that the Enterprise RIA segment (defined as the largest corporate firms) ranks as the fastest-growing category. With a 20% CAGR over the past 5 years, this group has outpaced both independent and hybrid RIAs.

M&A dynamics in the sector also pose challenges for differentiation. “As acquisition activity across RIA channels erodes many traditional sources of competitive differentiation, service offerings are becoming a key battleground,” they added.

An evolving offering

Enterprise RIAs have expanded into fields such as tax planning, estate offerings, family office services, and institutional consulting. By incorporating these services, which stem from client wealth needs or support broader private-wealth management, RIAs “continue moving toward the center of the advisory sphere,” according to Cerulli.

“There is a widening chasm between firms that can build scalable platforms and those constrained by traditional operational structures. Enterprise RIAs are investing in centralized business development, integrated service delivery, structured talent pipelines, and expanded planning capabilities,” stated Stephen Caruso, director at the consultancy.

The objective of these investments, he added, is to serve “more complex affluent clients” in an environment where “shifting client expectations and competitive pressures are prompting firms to rethink how they deliver advice, drive growth, and build long-term enterprise value.”

This approach, the consultancy noted, positions the RIA as the central hub for the majority of clients’ financial service needs, encompassing investments, taxes, estate planning, and philanthropy. “Integrating these capabilities into centralized platforms enables firms to establish consistent operational standards, expand advisors’ capacity to serve clients, and deepen client relationships,” Caruso indicated.

Along these lines, the consultancy expects more RIAs to dedicate themselves to expanding their services, pursuing growth vectors and fee revenue that would otherwise typically flow to external service providers.

The “Blue Wave” Leaves a Divided Government: Implications and Market Reactions

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Democrats have secured larger-than-expected majorities in the House of Representatives and the Senate in the U.S. midterm elections. Politically, analysts note that the magnitude of the outcome will carry repercussions for the 2028 primaries across both parties. Looking at the markets, trading opened slightly lower—Eurostoxx futures down 0.2%, S&P down 0.2%, and Nasdaq down 0.3%—against the political backdrop of the U.S. midterm elections, a decisive Democratic victory, and Trump’s low 37% approval rating amid a marked increase in the cost of living.

The election outcome has been described as a major wave sweeping across the U.S. electoral map overnight, flipping historically Republican strongholds including Texas, South Carolina, and Kansas—a shift unseen since 1932. Although vote counting has not fully concluded across all districts, Donald Trump has lost control of both the House of Representatives and the Senate.

This marks the most severe midterm defeat suffered by an incumbent administration since 1946, though it comes as only a partial surprise given that Trump’s disapproval had reached historic highs amid backlash against his immigration policies, conflicts with institutional norms, and, above all, the military confrontation with Iran. Having campaigned on combating the high cost of living, the administration paradoxically pursued policies that contributed to rising inflation—first through tariff escalation and subsequently by launching a military campaign in Iran. This vulnerability was leveraged by Democrats, who centered their campaign on household purchasing power to reclaim control of Congress.

Political analysis

A Democratic Congress will subject the administration’s policy agenda to heightened oversight, though the president has already signaled readiness to deploy the executive veto against legislative initiatives. The executive branch will retain wide-ranging foreign policy authority, including subsequent operational decisions regarding Iran. The frequent use of executive orders across immigration and trade also constrains the scope of legislative shifts in those areas.

Even so, the sheer scale of the electoral sweep could expand the ambitions of congressional Democrats. Initiatives targeting increased federal oversight of artificial intelligence and data center development, alongside measures promoting clean energy deployment, are widely expected. However, passing statutory legislation will require bipartisan cooperation in the Senate to overcome the filibuster and survive a presidential veto, narrowing the probability of passage.

A fundamental question remains open: whether these midterms reflect a transient voter reaction driven by immediate frustration with administration policies, or structural evidence of a durable realignment in the Democratic electoral map.

More political than market impact

The 2026 midterms carry broader political ramifications than immediate market consequences as Washington transitions from unified Republican control to divided government. Financial markets extensively priced in this outcome across much of 2026, suggesting that the near-term reaction may remain measured.

Regarding Treasuries, divided government does not inherently produce fiscal consolidation. A large share of the fiscal stimulus associated with the One Big Beautiful Bill Act is already in motion, while persistent deficits and heavy debt issuance schedules are likely to keep upward pressure on yields. Simultaneously, AI-related capital expenditure continues to drive capital demand, as hyperscalers and technology firms issue substantial debt to finance infrastructure expansion. At the same time, divided government could ease political pressure on the Federal Reserve, dampening the risk of an overly loose monetary stance.

The most notable market impacts are likely to emerge at the sector level. AI infrastructure and data center operators could face increased bipartisan regulatory scrutiny, potentially weighing on investor sentiment and delaying capital deployment schedules even in the absence of major statutory changes. Financials could see the tailwind of deregulation fade as divided government creates friction around prospective supervisory rollbacks. In housing and residential construction, market activity remains constrained by the spread between current mortgage rates and the low rates locked in by existing homeowners—a structural dislocation unlikely to be resolved through legislative action alone.

Ultimately, these midterms may do little to alter the macro forces driving financial markets. For investors, ongoing fiscal pressures, increasing competition for capital, and targeted sector-level policy shifts will prove far more decisive than the headline election outcome.

The economy, growth, and corporate earnings under divided government

Regarding what the loss of both congressional chambers means for the broader economy and markets, divided control could provide some fiscal restraint by limiting additional discretionary public spending. Conversely, a commanding Democratic performance could introduce headwinds for segments like artificial intelligence through heightened regulatory efforts.

One potential volatility catalyst would involve legal challenges or disputes surrounding election results, given prior rhetoric questioning institutional integrity. A strong Democratic showing could also temper sentiment across mega-cap tech and AI, where legislative scrutiny is expected to intensify. However, divided government serves primarily to rebalance political leverage in Washington, constraining aggressive, highly partisan policy initiatives once the new Congress takes office on January 3, 2027. Market participants also continue to closely monitor developments in the Iranian conflict as a major macro variable.

For asset allocators, congressional composition matters, but the next directional move across assets will remain anchored in GDP growth, inflation dynamics, and benchmark interest rates. Narrower headroom for fiscal stimulus could weigh on headline growth, while renewed debate surrounding corporate taxation and high-earner brackets could introduce sector-specific dispersion. While U.S. equities have historically rallied following midterm elections as political clarity improves, elevated equity valuations and higher baseline bond yields leave less room for a post-election valuation rerating, placing greater emphasis on underlying corporate earnings growth.

Divided government may provide support for Treasuries by restraining unconstrained fiscal expansion, though inflation trajectory and Federal Reserve policy will remain far more influential for fixed-income markets than the electoral outcome itself, with any further spike in energy commodities compounding the inflation outlook.

The dollar’s trajectory

Analysts are focused on what this electoral realignment implies for the greenback. The U.S. dollar has softened moderately following the outcome. The modest currency depreciation reflects limited immediate legislative policy shifts. While heightened regulatory uncertainty may pose mild headwinds, it is countered by the perceived stability of institutional checks and balances. In the near term, restrictive monetary policy settings and secular capital inflows into AI infrastructure continue to underpin the dollar.

A check on expansionary fiscal policy could curb upward pressure on U.S. sovereign debt issuance and Treasury yields, dampening the relative yield appeal of the currency.

However, the election result does not represent a structural trend reversal for the dollar, given that market pricing had already broadly discounted a divided government outcome. Federal Reserve policy, broader U.S. economic resilience, inflation prints, and developments in the war with Iran will remain the primary drivers of the currency’s trajectory. Investor attention is set to pivot quickly back toward incoming macroeconomic data, particularly the upcoming U.S. employment report on Friday.

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.