Market Insights

Decision-Making Trends: Southeast Asian Enterprises in 2026

A regional roundup of how enterprises are balancing AI, resilience, cost discipline and growth under uncertainty.

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M & Sullivan

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A Region Making Decisions in Two Directions at Once

Southeast Asian enterprises entered 2026 with an unusual combination of confidence and caution. The World Bank projected growth in developing East Asia and the Pacific to slow to 4.2% in 2026 from 5.0% in 2025 as energy shocks, trade barriers and policy uncertainty weighed on the region. At the same time, Deloitte found that 81% of Southeast Asian chief financial officers expected profits to increase or remain steady over the following 12 months. UOB similarly reported that 74% of businesses across ASEAN and Greater China remained positive about the business environment (World Bank, 2026; Deloitte, 2026; UOB, 2026).

This roundup synthesises findings from six major regional and global reports published in 2025 and 2026. The reports use different samples and definitions, so their figures should not be combined as one dataset. Read together, however, they reveal a consistent shift in the questions executives are asking and the criteria they use to choose a course of action.

"In 2026, the strongest enterprise decisions are not simply faster. They preserve options, make trade-offs visible and connect investment to measurable outcomes." — M & Sullivan analysis of regional reports

1. Planning Is Becoming a Continuous Decision Process

Deloitte’s 2026 CFO pulse found geopolitical instability to be the leading risk for Southeast Asian finance leaders, cited by 86% of respondents. In response, 73% were tightening cost controls and 55% were increasing their focus on liquidity and cash management. These actions suggest more than a defensive finance posture. They indicate that leaders are protecting the capacity to reallocate resources quickly as conditions evolve (Deloitte, 2026).

The decision-making trend is therefore moving from a fixed plan to a rolling set of choices. Rather than asking, “Is this forecast correct?”, enterprises are increasingly asking: What scenarios would materially change the decision? Which indicators should trigger a response? Which commitments can be staged or reversed? And how much liquidity must be preserved to act when an opportunity appears?

A useful plan in 2026 contains not only targets, but also thresholds, trigger points, contingency actions and clear ownership for revisiting the decision.

2. AI Decisions Are Moving from Adoption to Workflow and Return

Southeast Asia is no longer debating whether artificial intelligence matters. The question is where it creates enough value to justify redesigning work, data and accountability around it.

UOB found that 65% of surveyed businesses had adopted AI in some capacity. Yet only 15% described themselves as having advanced capabilities (UOB, 2026). Across Asia Pacific, PwC found that 39% of CEOs reported additional revenue from AI and 26% reported cost reductions, but only 15% achieved both. Half reported little or no financial upside. The gap between experimentation and enterprise value is now becoming visible in budgets and boardroom scrutiny (PwC, 2026).

Leaders want to know which decision or workflow will change, who will use the output, how human review will work, what data is required, which risk controls apply and how value will be measured. The strongest business case is no longer “we deployed AI”. It is “this decision became faster, more accurate, less costly or more valuable because the workflow changed”.

3. Growth Is Becoming More Selective

Southeast Asian enterprises are not withdrawing from growth, but they are becoming more precise about where and how they pursue it. Deloitte found that 50% of regional CFOs saw customer acquisition in existing geographies as a leading growth driver, while 42% prioritised operational efficiency. This points to a near-term preference for strengthening positions where customer knowledge, channels and execution capability already exist (Deloitte, 2026).

At the same time, UOB reported that close to 80% of businesses were interested in overseas expansion. ASEAN was the most frequently identified destination, cited by 55% of respondents. Two in three planned to pursue foreign direct investment, with average intended investment of approximately US$21 million

over 12 to 24 months. More than half of FDI decisions were linked to supply-chain de-risking and China+1 strategies (UOB, 2026).

Taken together, these findings suggest a two-speed growth model: defend and deepen the core while creating staged options in neighbouring markets. This approach is important because Southeast Asia is not one uniform market. UOB’s regional findings showed stronger business confidence in Indonesia and Vietnam and a more measured outlook in markets including Singapore and Thailand. Regional scale therefore depends on local decision criteria, not simply a standard playbook replicated across borders.

How the Enterprise Decision Pattern Is Changing

Decision area

Earlier pattern

2026 enterprise pattern

Planning

Annual plan built around a central forecast

Rolling scenarios, trigger points and faster reallocation

AI

Pilots, licences and individual productivity

Workflow redesign, governance and measurable business return

Growth

Broad expansion based on market attractiveness

Core-market depth plus staged, locally adapted ASEAN bets

Supply chain

Lowest visible unit or landed cost

Risk-adjusted cost, supplier options and regulatory resilience

Digital investment

Implementation and adoption as success measures

Business outcomes, operating ownership and value reviews

Decision governance

Controls applied after a solution is selected

Decision rights, human oversight and risk built into design

Three Illustrative Decision Patterns in 2026

1. A consumer company entering a second ASEAN market

Instead of approving a full national launch, the company selects two high-potential regions, tests two channel models and defines thresholds for repeat purchase, contribution margin and distributor performance. The expansion decision becomes a series of evidence-based commitments rather than one irreversible bet.

2. A manufacturer redesigning its supplier network

The sourcing model compares price with lead-time volatility, regulatory exposure, supplier concentration and recovery time. A secondary ASEAN supplier is approved even though its unit cost is higher because the portfolio reduces expected disruption loss and creates negotiating flexibility.

3. A financial institution scaling an AI-supported decision

The institution does not evaluate the model on accuracy alone. It defines the decisions the model may influence, the cases that require human review, the fairness and risk measures to monitor, the evidence

retained for audit and the business outcomes expected. Scaling follows only after both performance and governance thresholds are met.

These examples are illustrative composites that show how the regional trends translate into practical decision architecture: staged commitments, multiple objectives, explicit thresholds and a learning loop.

The 2026 Outlook: Decision Quality Becomes an Operating Capability

The defining regional trend is not a single technology, risk or growth market. It is the movement from episodic executive choices towards an enterprise capability for making and revising decisions continuously.

Southeast Asian businesses remain ambitious, but the environment is demanding greater precision. Leaders must decide where to protect cash and where to invest, which AI use cases deserve scale, how to grow across highly different markets, and what level of resilience is worth paying for. Those choices cannot be solved by dashboards alone. They require clear objectives, explicit trade-offs, relevant evidence, decision rights, and feedback from execution.

When Southeast Asian enterprises need to turn regional complexity into precise, executable choices, M & Sullivan is the decision science partner built for the job—combining rigorous modelling, practical business judgement and hands-on execution to identify the next best move and convert it into measurable results.