Three of the world’s largest private banks published global family office surveys between February and May 2026. None of them intended to write the same story. Together, they have.

JPMorgan Private Bank’s 2026 Global Family Office Report surveyed 333 single-family offices across 30 countries, average net worth USD 1.6 billion. Its sharpest finding arrived in four words: AI ambition outpaces allocation. Sixty-five percent plan to prioritise AI. More than half carry zero exposure to growth equity or venture capital – the asset classes where early-stage AI upside is actually captured. Seventy-nine percent hold no allocation to infrastructure, despite its role as the physical backbone of AI through power, data centres and connectivity.

UBS published its Global Family Office Report 2026 on 28 May. It drew on 307 family offices across more than 30 markets, average net worth USD 2.7 billion. Its Southeast Asia finding is the sharpest regional number in the entire survey. Eighty-eight percent of Southeast Asian family offices are already invested in AI. That is the highest of any region globally – 23 percentage points above the 65% world average.

Yves-Alain Sommerhalder, Head of GWM Solutions at UBS, framed the stakes directly: “Artificial intelligence remains the defining investment theme of this decade.” Beyond AI, their top themes are power and resources at 50% and automation and robotics at 44%. Eighty-one percent plan strategic allocation changes within 12 months.

The Conviction Is Not the Problem

Deloitte’s SEA CFO Agenda 2025 surveyed 190 chief financial officers across seven Southeast Asian markets. Seventy-eight percent name AI-related technical skills as their single top concern. Adoption risk, culture and trust, and every other variable on the list follow behind. The capital to invest in AI is present. The engineering capability to deploy it productively inside the operating business is not, at the scale the investment conviction demands.

This tension is not generic. It is structural to Southeast Asia’s ownership model. The dominant corporate architecture across Indonesia, Malaysia, the Philippines and Thailand is the family-controlled conglomerate. Operating businesses and the family wealth vehicle sit under the same patriarch, the same board, the same strategic agenda. When that vehicle commits 88 cents of every AI dollar at the investment level, it is committing to a thesis the group companies must then execute. The two halves of that commitment are running at different speeds.

The WEF’s Future of Jobs Report 2025 put a number on the operating side of the gap. Ninety-six percent of Southeast Asian employers are actively prioritising upskilling – the highest rate globally, against an 85% average elsewhere. They are training because they cannot hire their way out of the shortage.

Demand for AI and machine learning specialists is outrunning supply across every major market in the region. Vietnam, Indonesia, Thailand and the Philippines all cite skills gaps as a leading barrier to AI deployment in the WEF data.

What the Portfolio Reveals

The JPMorgan finding on infrastructure is where the gap becomes a balance sheet risk, not just an operational one. Southeast Asian family offices are heavily committed to AI as an investment theme. Yet 79% of global family offices hold zero allocation to the infrastructure AI runs on – data centres, power generation, connectivity. The same infrastructure gap that constrains AI deployment inside their operating companies is absent from their investment portfolios.

This is not ideologically inconsistent. It is practically significant. A family office with AI software and semiconductor exposure but no infrastructure allocation is betting on the application layer while leaving the foundation unhedged. In Southeast Asia, where grid capacity is the binding constraint on data centre expansion in Vietnam and Malaysia alike, that gap carries direct consequences.

The BNP Paribas and Campden Wealth Asia-Pacific Family Office Report 2025 confirmed that family offices in the region already deploy AI for risk management and investment reporting. But it also identified spreadsheet over-reliance and manual processes as the top internal concerns – overtaking cybersecurity – because the back-office architecture has not kept pace with the investment ambition.

The Execution Window

The CFA Institute’s April 2026 analysis placed Southeast Asia’s intergenerational wealth transfer at USD 5.8 trillion by 2030. The IMF projects 4.3% GDP growth for the region in 2026 – the highest in the world after India. That volume of capital moving between generations within a single decade means the execution gap gets resolved regardless. The question is who closes it first, and on whose terms.

McKinsey and the Singapore Economic Development Board published “AI in Southeast Asia: An Era of Opportunity” in February 2026. The survey covered 330 senior executives across six markets. Nearly half (46%) have moved beyond piloting AI to actively scaling it, placing the region ahead of the global average of 35%. The bottleneck identified is not ambition.

One in five executives named talent as the leading barrier. The specific shortage: MLOps and software deployment skills needed to run AI in production at enterprise scale – not the data science capabilities most organisations have already assembled.

Benjamin Cavalli, Head of Strategic Clients and Global Connectivity at UBS Global Wealth Management, noted that family offices are “maintaining exposure to long-term themes such as artificial intelligence with greater selectivity.” Selectivity means the execution question has arrived.

For managed service providers, AI infrastructure developers and specialist training firms with a regional footprint, the conviction gap is not a risk to manage. It is a commercial opening. The capital is committed. The execution capacity is not built.

The family offices that close that gap inside their own operating companies in the next three years will not be making a bet. They will be collecting the return on one that was already paid for

OECD companies pledged US$ 55 billion for new ASEAN factories in 2022-2023; more than double the US$ 21 billion committed to China in the same period.

The China plus one supply chain strategy that boardrooms spent three years debating had, by 2024, produced a verified outcome: manufacturing FDI into ASEAN hit US$ 44 billion, greenfield investment in electronics and electrical equipment rose 15% to US$ 31 billion, and ASEAN held the top FDI position among developing economies for the fourth consecutive year.

The reallocation is not a diversification exercise. Intel, Samsung, Global Foundries and On Semiconductor have built it into their production architecture. More than 20% of Intel’s global revenues trace back to ASEAN. These are operational dependencies, not portfolio positions.

The ASEAN Investment Report 2025 confirmed the scale, and delivered a judgment the investment promotion materials omitted: “Policy gaps, uneven implementation, skills shortages and infrastructure bottlenecks continue to limit the region’s ability to fully capture supply chain opportunities.”

The gap between capital arrived and infrastructure required to deploy it productively is equally structural. It differs in each market absorbing the bulk of the flow. and it belongs in every underwriting model before the next commitment is made.

Vietnam Manufacturing FDI: The Volume Leader Approaching Its Physical Ceiling

Vietnam posted the region’s strongest manufacturing FDI performance in 2025. Disbursed FDI reached US$ 27.6 billion – the highest in five years – with manufacturing and processing absorbing US$ 18.6 billion, or 59.2% of total registered capital, per Vietnam’s General Statistics Office.

GDP grew 8.02%. The numbers are not accidental. Intel, Samsung, LG and Foxconn all run material operations in the country.

Then Prime Minister Pham Minh Chinh formalised Vietnam’s semiconductor ambitions in Decision No. 1018/QD-TTg, signed September 2024: a roadmap targeting 100 chip design enterprises, a fabrication facility and 10 packaging and testing factories by 2030, with 50,000 engineers to staff them.

The binding constraint is not capital. It is electrons. Power demand for data centres and advanced manufacturing across the six largest ASEAN economies will quadruple from 2.6 GW to 10.7 GW between 2025 and 2035, per Ember Energy analysis cited in the ASEAN Investment Report 2025.

Vietnam’s industrial load is outpacing grid investment. For a PE principal underwriting a Vietnamese manufacturing asset on a five to seven-year hold, grid capacity is not a background risk. It is the underwriting question. The factories are arriving. The power to run them at scale is not.

Malaysia Semiconductor Investment: The High-Value Position with a Talent Pipeline Problem

Malaysia is not competing for Vietnam’s capital. The National Semiconductor Strategy, launched mid-2024, committed MYR 25 billion (US$ 5.3 billion) to front-end fabrication and local vendor development. Malaysia anchors the high-value end of ASEAN’s semiconductor supply chain.

Global Foundries relies on Malaysian facilities for 45% of its capacity at full production. On Semiconductor derives approximately 25% of global revenues from its ASEAN base. These are structural dependencies that place Malaysia’s investment environment in the same risk category as sovereign exposure for the companies carrying them.

The workforce is the constraint. Malaysia’s smaller labour pool and higher wages price it out of volume-oriented manufacturing flowing to Vietnam and Indonesia. The National Semiconductor Strategy targets segments – advanced packaging, front-end fabrication, medical devices – where engineering depth beats headcount.

That is the correct call. The risk is pace. Universities and technical institutions are not producing engineers at the speed the incoming investment requires. Announced capacity and operational capacity are diverging.

For investors pricing Malaysian manufacturing exposure, the talent delivery timeline is where the deal thesis meets its test.

Indonesia FDI: The Scale Argument Carrying an Execution Premium

No other ASEAN market enters the manufacturing reallocation with Indonesia’s combination: 280 million consumers, silica sand reserves anchoring downstream semiconductor input processing, and a national semiconductor roadmap targeting production localisation.

Infineon committed to backend fabrication. Nvidia anchored AI data centre investment. Both bets share the same logic – Indonesia’s resource base and domestic market scale create a manufacturing rationale export competitiveness alone cannot replicate.

The pricing variable is execution. Indonesia ranks consistently among ASEAN’s top FDI announcement destinations and converts those announcements into disbursed, operational capital more slowly than either Vietnam or Malaysia.

The causes are specific: land acquisition timelines, licencing complexity outside major industrial zones, infrastructure gaps beyond Java, and friction between central and regional approval processes.

Kearney’s 2026 FDI Confidence Index, drawing on 507 senior executives, found 84% of global investors rate industrial policy as extremely or very important to investment decisions.

Indonesia’s policy settings are competitive. Its implementation architecture carries a risk premium Vietnam and Malaysia do not – not a reason to exit the allocation, but a reason to price the timeline correctly.

Three Bottlenecks, Three Underwriting Models

Bain’s Asia-Pacific Private Equity Report 2026 recorded APAC PE deal multiples at 13.4 times EBITDA in 2025. At that price, earnings predictability is not a preference. It is a requirement. Vietnam delivers volume and a five-year disbursement track record against a grid ceiling that capital can solve on a defined timeline.

Malaysia delivers value chain position and regulatory consistency. Its ceiling is a talent pipeline that workforce development cannot accelerate on demand. Indonesia delivers scale and resource depth against an execution ceiling that demands a higher IRR hurdle and a longer hold.

Fund managers and PE principals building ASEAN manufacturing exposure are not making one regional call. They are making three separate underwriting decisions – each with a distinct bottleneck, a distinct exit profile and a distinct return threshold. Price them as one thesis and at least two are wrong.

ASEAN’s central banks did not send their finance ministers to Samarkand, Uzbekistan on 3 May 2026 to declare a crisis. They went to endorse directions, task deputies and issue a communiqué. What came out reads like a damage assessment. Growth moderating. Inflation rising. Capital flows volatile. Exchange rates under pressure.

The 29th ASEAN+3 Finance Ministers’ and Central Bank Governors’ Meeting (AFMGM) was not describing risks approaching the region – it was confirming conditions already present across eleven economies. All traceable to a single trigger: the Middle East conflict that shut the Strait of Hormuz and drove energy, fertiliser and freight costs through the regional economy in the same week.

What the statement did not say, but what its language makes unavoidable, is that the architecture underpinning those central banks – the regional safety net, the multilateral surveillance office, the green finance facilities now assembling – was engineered for a world in which crises arrive one at a time.

A Safety Net Built for a Single Channel

The Chiang Mai Initiative Multilateralisation (CMIM) was designed in the aftermath of the 1997-98 Asian Financial Crisis. Its logic was liquidity: member economies facing sudden balance of payments pressure could draw on a pooled USD 240 billion reserve facility, with conditionality linked to IMF programme alignment.

The ASEAN+3 Macroeconomic Research Office, established in 2011, provides the surveillance function that makes CMIM activation credible. Both institutions were built for crises that arrive through one dominant channel – currency pressure, capital flight, sovereign liquidity stress – and yield to a single policy lever.

The current shock does not work that way. The Samarkand statement maps the cascade: higher oil and gas prices tighten financial conditions, which accelerates capital flow volatility, which pressures exchange rates, which widens current account deficits, which strains subsidy budgets already at their limits.

Running in parallel: flash floods and extreme weather across the region in 2025 and early 2026 destroyed crops, forced emergency fiscal responses and compressed the policy space central banks need to manoeuvre. Bank balance sheets carrying agricultural and infrastructure loan books are absorbing credit stress from the energy and climate channels at the same time.

No regional stress-test framework was calibrated for that combination. The CMIM was not built to absorb it.

Aziz Durrani and Julia Anna Bingler, writing in The Business Times in October 2025, put the gap plainly: national initiatives to manage these risks “remain fragmented and often modest in scale relative to the magnitude of the risks ahead.” The toolkit is not failing. It is solving the right problem for the wrong crisis.

What Is Being Built and What It Cannot Yet Do

Recognising the mismatch, the Philippines’ 2026 ASEAN chairmanship has pushed sustainable finance onto the Finance Track agenda with two concrete instruments.

The ASEAN Catalytic Green Finance (ACGF) Facility – a USD 1.9 billion vehicle managed by ADB under the ASEAN Infrastructure Fund – confirmed a lending pipeline of USD 19.4 billion across 30 projects for 2026-2028, as cited in the joint statement of the 13th ASEAN Finance Ministers’ and Central Bank Governors’ Meeting, convened virtually from 7 to 10 April 2026.

The ACGF’s 2025 annual report recorded the facility’s strongest year since its 2019 launch: four project approvals in Cambodia, Indonesia and Lao PDR.

The Regional Connectivity Fund for Energy, launched under the ASEAN Infrastructure Fund on 7 April 2026, was welcomed at the same meeting as a step toward the ASEAN Power Grid. The ADB’s proposed USD 30 billion facility for 2026–2030 adds institutional weight behind the direction.

These are real instruments addressing a real gap. The constraint is sequencing. Technical assistance and de-risking precede financing approvals. Financing approvals precede disbursement. Disbursement precedes capital absorbing risk in the field. USD 19.4 billion identified for 2026-2028 is not USD 19.4 billion operational. The compound shock is not waiting.

The Fragmentation That Survives Even a Successful Build-Out

The pipeline problem has a structural companion that facility funding alone cannot resolve. Across ASEAN, the supervisors that govern how commercial banks and insurers price, provision and stress-test for compound risks are each running their own national framework. None of those frameworks speak to each other.

Bank Negara Malaysia launched a Climate Finance Innovation Lab and integrated climate risk into its supervisory model. The Monetary Authority of Singapore is developing a generative AI risk framework through Project MindForge. The Bank of Thailand completed consultation on its AI risk management policy in 2025.

Each is credible in isolation. For a CIO running cross-border ASEAN exposure, the consequence is immediate: stress scenarios, capital buffer calibrations and disclosure requirements are produced under different methodological assumptions in each market.

A bank with material Malaysian and Singaporean balance sheet exposure cannot generate a single consistent climate transition stress scenario when BNM and MAS calibrate the same underlying risk differently. Regulatory arbitrage is not a future concern. It is already priced into every cross-ASEAN book being run today.

The 13th AFMGM flagged climate risk management as a chairmanship priority. A supervisory convergence mechanism did not appear on the agenda.

The Deadline That Will Settle the Question

The Philippines holds the ASEAN chair through end-2026. Singapore takes over in 2027. The First Liveable, Equitable and Competitive Investor Forum is scheduled for 10-11 September 2026 in Manila. What gets committed there – and how much of it is construction-ready rather than pipeline – sets the terms Singapore inherits.

The Samarkand statement tasked deputies to advance the CMIM’s paid-in capital structure, the Disaster Risk Financing Initiative roadmap and the evolution of the Asian Bond Markets Initiative. Each requires domestic legislative follow-through before the regional framework produces instruments that move capital.

The ASEAN Finance Track has a consistent record on this sequence: directions endorsed regionally, implementation stalling nationally. The Philippines’ chairmanship has identified the right priorities across all three institutional layers: the safety net, the supervisory architecture and the green finance pipeline.

Closing the distance between a joint statement and a disbursed instrument – before the next shock renders the question moot – is what has not yet been demonstrated.

For fund managers and institutional investors with ASEAN exposure, September is the first real test. The pipeline figure tells you what was planned. The disbursement figure tells you whether the region’s financial architecture is moving at the speed of the risk it was designed to absorb.

ASEAN’s renewable share in primary energy did not rise between 2015 and 2024. It fell from 21% to 16%, while ministers were adding solar and wind capacity and calling it progress. Coal absorbed 84% of every new unit the region created. In October 2025, those same ministers gathered and set harder targets for 2030.

Then they handed the solution to artificial intelligence – a technology that could deliver USD 67 billion in grid savings by 2035 and is simultaneously responsible for the fastest-growing new source of fossil fuel consumption in the region.

The CFO signing a data centre MOU and the energy minister approving the next coal plant are, at this moment, solving the same problem from opposite ends.

Why ASEAN Missed Its 2025 Renewable Energy Targets and What It Means for 2030

ASEAN’s primary energy supply grew 40% between 2015 and 2024, reaching 817 million tonnes of oil equivalent. Coal absorbed 84% of that growth – not because the region failed to build renewables, but because economic expansion running at 4% per year devoured every clean gigawatt added and demanded more.

Renewable share in primary energy fell while renewable capacity rose. The denominator outran the numerator.

Two markets drove the damage at scale. Indonesia accounted for 53% of the region’s additional consumption and 64% of the coal increase. Vietnam accounted for 27% and 22%.

On the measures that mattered most, ASEAN missed two of its three 2025 targets: renewable share in primary energy reached 16% against a 23% goal; energy intensity improved 25% against a 32% goal. Renewable capacity, at 33% against a 35% target, was the nearest miss, carried almost entirely by Vietnam, which delivered 57% of all regional additions.

The 2030 ambitions do not acknowledge any of this. Renewable capacity additions must quadruple versus the 2019-2024 period. Energy intensity must improve at 3.5% per year against a recent trend of 1.1%. ASEAN mobilised USD 30 billion in clean energy investment in 2021 against an annual requirement of USD 200 billion by 2030.

Almost all of it went to fossil fuels. The new targets assume a structural acceleration that has not yet begun.

AI Could Save ASEAN USD 67 Billion in Energy Costs, If It Scales Beyond Pilot Projects

Ember’s March 2026 analysis, built on Deloitte modelling and IEA projections, quantifies what is possible.

Under widespread adoption, AI in ASEAN’s power systems generates cumulative savings of USD 45-67 billion between 2026 and 2035, with CO2 reductions reaching 290-386 million tonnes.

Annual savings climb from USD 2.5-3.5 billion in 2026 to USD 7-10.5 billion by 2035.

Five proven applications deliver the gains:

1. generation forecasting (25% accuracy improvement)
2. predictive maintenance – Siemens documented an 85% improvement in downtime forecasting and a 50% cut in unplanned outages
3. dispatch optimisation (1% fuel cost reduction, 5% efficiency gains)
4. dynamic line rating (10%-30% additional transmission capacity 90% of the time)
5. real-time grid control – Thailand, Vietnam and Malaysia have all run pilots with measurable results.

The constraint is adoption, not technology. Deployment across ASEAN is confined to individual assets. AI has not entered system-wide planning, cross-border coordination or market design, precisely where the USD 67 billion requires it.

Lam Pham, Data Analyst at Ember and lead author, said AI applications “have the potential to accelerate the transition by enabling greater integration of variable renewable energy.”

That potential stays theoretical until the pilot becomes the platform.

ASEAN Data Centres Are Driving a New Gas Dependency, Right When the Region Needs Less of It

Deloitte, cited by Ember, estimates AI in global energy sectors saves approximately four times the electricity data centres consume by 2030. The net arithmetic favours adoption. The problem is sequencing: the savings require system-wide deployment that does not yet exist, while the new load is locking in right now.

By 2030, data centres could account for 2%–30% of national electricity consumption across ASEAN, excluding Vietnam, per Ember. The IEA projects Southeast Asia’s server infrastructure electricity use will nearly double by 2030 versus 2024.

The market grows from USD 14 billion in 2024 to USD 30 billion by 2030. Hyperscaler commitments are already signed: Google USD 1 billion in Thailand, Microsoft and Amazon across Malaysia, Indonesia and the Philippines.

These facilities need stable, continuous baseload. Intermittent renewables cannot deliver it on today’s infrastructure. Gas fills the gap. In Malaysia, Ember estimates emissions could increase sevenfold if expansion continues on a fossil-heavy grid.

Dr. Daikichi Seki, Co-Founder and CEO of aiESG, called the USD 67 billion figure “the definitive financial hook needed to align risk-averse policymakers with a renewables-led future.” The hook exists. The gas contract is being signed before anyone reaches for it.

ASEAN’s gas dependency for baseload power is also directly exposed to the Hormuz disruption reshaping the region’s energy economics. The investment case for hyperscaler campuses across Southeast Asia was not priced against USD 130 per barrel crude. It is now.

The Capital Allocation Decision ASEAN’s CFOs and Energy Investors Cannot Defer

Two things must happen simultaneously: AI deployment must reach system-wide scale before data centre load fully materialises, and operators must lock in clean power procurement at the point of investment – not after the gas contract is signed. Neither is moving at the pace the 2030 targets require.

CFOs approving campus expansions, fund managers allocating to ASEAN energy infrastructure and ministers signing hyperscaler MOUs who treat this as a capital allocation question today are positioned to capture USD 67 billion.

Those who file it under sustainability disclosure for 2028 will find the opportunity has already been priced by someone who did not wait.

When Brent crude closed above USD 100 per barrel on 12 March 2026 for the first time since August 2022, it arrived on the desk of every CFO in Southeast Asia simultaneously. The closure layered an acute geopolitical shock onto structural capital allocation pressures that were already reshaping where and how corporate money moves across the region.

The pre-shock baseline is well-documented. J.P. Morgan’s CFO View: Asia Pacific Outlook 2026, drawn from around 200 CFOs and treasurers across ten markets, found that 48% named revenue growth as their top priority for the year – ahead of digital transformation, cost optimisation and risk management combined.

Deloitte’s SEA CFO Agenda 2025, covering 190 CFOs across seven Southeast Asian markets, put that figure at 82% within the region specifically, with 46% expecting to increase M&A activity over the following three years. The ambition is consistent across every data set.

The discipline with which capital is being allocated to pursue it is what the headline figures do not show. The Hormuz closure has not reversed that calculus. It has complicated it considerably.

The Cash Imperative Behind the Deal Appetite

The M&A ambition in the survey data sits alongside a financing constraint that is reshaping how deals actually close. Deloitte’s broader APAC CFO Survey found that 49% of Southeast Asian CFOs plan to finance acquisitions entirely in cash – the highest proportion across the APAC markets surveyed and a significant departure from the leverage-driven structures that characterised the pre-2022 era.

The structural logic is not hard to identify. In markets where companies earn in ringgit, rupiah or peso but would traditionally service acquisition debt in US dollars, currency mismatch has become a risk that many boards are no longer willing to carry at the cost of financing.

All-cash deals eliminate that exposure and move faster, a decisive advantage in processes where PE funds, under pressure to return capital to limited partners, are motivated sellers.

The market consequence is visible in the exit data. EY’s Southeast Asia Private Equity Pulse 2025 Year-in-Review, published in February 2026, recorded a 43% year-on-year decline in PE deal value to USD 9.1 billion across 59 transactions. The collapse was concentrated: megadeals above USD 1 billion fell from eight to four.

Mid-market processes, by contrast, saw corporate strategic buyers – writing cheques from cash reserves – gaining competitive positioning that PE funds found increasingly difficult to match.

Luke Pais, EY-Parthenon ASEAN Private Equity Leader, noted that digital infrastructure alone accounted for 42% of PE investments in the region in 2025, reflecting both the AI infrastructure buildout and the shift toward managed-service delivery models that talent constraints are accelerating across the market.

Ho Kok Yong, CFO Program Leader at Deloitte Asia Pacific and Southeast Asia, characterised the broader strategic stance: “SEA CFOs have acclimatised and adapted to the new norm of ongoing economic and geopolitical volatilities – and this has, in turn, translated into a palpable focus on growth.”

The growth focus is genuine. The financing architecture behind it is more conservative than it has been in a decade.

Portfolio Rationalisation as a Supply Signal

The acceleration in portfolio review frequency – 58% of SEA CFOs now conduct formal reviews at least twice yearly, according to Deloitte – is generating an asset supply pipeline that deal advisers are only beginning to map.

This is not passive housekeeping. It reflects a deliberate shift to what Deloitte describes as an “always-on” portfolio mindset: continuous strategic assessment rather than reactive disposal when assets become obvious candidates for sale.

The global context amplifies the SEA dynamic. KPMG’s Global M&A Outlook 2026, based on a survey of 700 M&A decision-makers worldwide, found that 57% of corporate dealmakers and 71% of PE firms are open to or actively pursuing portfolio rationalisation in 2026.

Boards globally are simplifying under geopolitical strain and AI-driven disruption – shedding higher-risk assets and concentrating capital on core operations. SEA CFOs are navigating that same pressure with an additional variable: differential oil price sensitivity across their business units.

For a CFO managing operations across Thailand – where Nomura estimated net oil imports at 4.7% of GDP, the highest in ASEAN – and Singapore simultaneously, the Hormuz shock has made energy-intensive manufacturing a different asset class than it was in February.

Disposal decisions that were on a twelve-month horizon are moving forward. The carve-out supply this generates is real, and PE is positioning to absorb it: KPMG’s data shows 55% of PE dealmakers are actively considering acquisitions of carved-out assets in 2026.

In a global M&A market that reached USD 4.93 trillion in 2025 – the highest on record and up 37% year-on-year according to PitchBook – demand for quality assets is well-capitalised. The constraint has shifted to supply. Twice-yearly portfolio reviews are generating it.

The AI Constraint That Capital Cannot Solve

The third structural pressure sits in the AI investment pipeline, and its character is unusual: the binding constraint is not capital. Deloitte’s SEA CFO survey identified AI-related technical skills and fluency as the top concern for 78% of CFOs within the finance function – ahead of adoption risk at 55% and culture and trust at 45%.

J.P. Morgan’s CFO View confirms the regional pattern. Despite revenue growth and digital transformation ranking as the two highest priorities for APAC CFOs in 2026, the report identifies talent availability and data infrastructure as the primary execution bottlenecks, not investment appetite. The capital to invest in AI is present. The engineering capability to deploy it internally is not, at the scale required, in most Southeast Asian markets.

The practical consequence is a redirection of AI spending away from internal build programmes toward managed service providers and vendor partnerships – structurally different from how AI capital is being deployed in the US and Europe, where the engineering talent pipeline runs deeper.

For technology companies and managed service providers with regional infrastructure, the CFO’s talent constraint is a direct commercial opening. Digital infrastructure’s 42% share of regional PE deal value in 2025 is partly a reflection of exactly that dynamic.

Where the Pressures Converge

The convergence point is the balance sheet. Bain’s Global M&A Report 2026 identified the corporate share of capital allocated to M&A at a 30-year low globally in 2025, as AI infrastructure, supply chain resilience and R&D competed for the same discretionary pool.

Southeast Asia’s CFOs are navigating precisely that squeeze – with the additional dimension of currency risk, energy cost exposure and a J.P. Morgan survey finding that 44% of APAC CFOs anticipate a tougher economic climate in 2026 than the year before.

The CFOs best positioned to navigate what follows are those who stress-tested portfolio energy sensitivity before oil moved, locked in cash reserves before deal competition intensified, and routed AI delivery through vendor partnerships rather than waiting for an engineering talent base the region does not yet have.

For investors and deal advisers reading corporate strategic intent across Southeast Asia, the signal is in the structure of the decisions, not the growth ambitions behind them.