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What Companies that Excel at Strategic Foresight Do Differently: The 2025 Competitive Intelligence Report

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500-company survey reveals how top firms track predictable futures and unknowns. Learn the strategic foresight framework driving competitive advantage.

When The Body Shop shuttered its US operations in 2024, it wasn’t because executives lacked market data. The cosmetics retailer had access to the same consumer trend reports, sales analytics, and competitive intelligence as everyone else. What it lacked was something more fundamental: the ability to systematically scan multiple time horizons for both predictable shifts and genuine wildcards. While competitors like Sephora and Ulta Beauty were reimagining retail experiences around sustainability and digital engagement years earlier, The Body Shop remained anchored to strategies that worked in the past.

This isn’t an isolated failure. Based on analysis of earnings calls, discussions about uncertainty among CEOs spiked dramatically in 2025, with global uncertainty measures nearly double where they stood in the mid-1990s. Yet here’s the paradox: while executives universally acknowledge rising volatility, most organizations still approach the future reactively rather than systematically.

A groundbreaking survey of 500 organizations by Boston Consulting Group reveals a stark divide. Companies with advanced strategic foresight capabilities report meaningful performance advantages over peers—not through crystal balls, but through disciplined practices that track both knowable trends and true uncertainties across multiple time horizons. These firms don’t just survive disruption; they engineer competitive advantage from it.

This isn’t theory. It’s a quantifiable edge backed by data, and it’s available to any organization willing to build foresight as an embedded capability rather than a one-off planning exercise. Here’s exactly how they do it.

What Is Strategic Foresight? [Definition]

Strategic foresight is the systematic practice of exploring multiple plausible futures to anticipate challenges, identify opportunities, and make better decisions today. Unlike traditional forecasting that attempts to predict a single future, foresight acknowledges irreducible uncertainty and prepares organizations to thrive across various scenarios.

The core components include:

  • Horizon scanning: Continuously monitoring signals of change across political, economic, social, technological, ecological, and legal domains
  • Trend analysis: Distinguishing between temporary fluctuations and enduring shifts that will reshape industries
  • Scenario planning: Developing multiple plausible future narratives that stress-test strategies against different conditions
  • Strategic implications: Translating future insights into actionable decisions and resource allocation today

What makes strategic foresight different from strategic planning? Planning assumes a relatively stable future and optimizes for efficiency. Foresight assumes an uncertain future and optimizes for adaptability. According to the OECD, strategic foresight cultivates the capacity to anticipate alternative futures and imagine multiple non-linear consequences—capabilities increasingly vital as business environments grow more volatile.

The Strategic Foresight Maturity Model

The BCG survey of 500 organizations identified four distinct capability levels, with dramatic performance gaps between tiers. Understanding where your organization falls on this spectrum is the first step toward improvement.

STRATEGIC FORESIGHT MATURITY FRAMEWORK

Maturity LevelCharacteristicsPerformance Impact% of Organizations
BasicAd-hoc scanning, annual planning cycle, single forecast, executive intuition drives decisionsFrequently surprised by disruption, reactive strategy adjustments42%
IntermediateQuarterly trend reviews, some scenario exercises, foresight team exists but operates in siloOccasional early warnings, mixed response capability33%
AdvancedContinuous signal detection, integrated with strategy process, multiple scenarios inform decisionsProactive adaptation, fewer blind spots, moderate performance edge18%
EliteSystematic dual-track monitoring (knowns + unknowns), embedded throughout organization, explicit upside focusEngineer competitive advantage from uncertainty, significant outperformance7%

Only seven percent of companies qualify as foresight leaders, yet these organizations report substantially better financial performance and strategic resilience. The gap isn’t about spending—it’s about systematic practice.

Organizations with mature foresight capabilities, according to McKinsey research, achieve 33% higher profitability and 200% greater growth than peers. They accomplish this not through lucky predictions but through structured processes that expand strategic optionality.

7 Practices That Separate Leaders from Laggards

The 500-company survey revealed specific behaviors that distinguish foresight leaders. These aren’t generic platitudes about “being innovative” or “thinking long-term.” They’re concrete, replicable practices.

1. Systematic Horizon Scanning Across Multiple Time Frames

Elite foresight organizations don’t just monitor trends—they operate what Shell pioneered decades ago: simultaneous tracking across near-term (1-2 years), medium-term (3-5 years), and long-term (10+ years) horizons.

This tri-focal approach prevents the “next quarter trap” while maintaining operational relevance. When Amazon invested billions in AWS infrastructure in the early 2000s despite intense retail competition, executives were operating on a 10-year horizon that recognized cloud computing’s inevitability—even when quarterly investors questioned the spending.

The Atlantic Council’s Global Foresight 2025 survey of 357 global strategists demonstrates this multi-horizon necessity. Respondents tracking only near-term signals missed critical shifts in geopolitical tensions, AI trajectory, and climate impacts that unfolded across longer timescales.

Leaders establish formal scanning rhythms: daily for breaking developments, weekly for emerging patterns, monthly for trend synthesis, and annually for major scenario updates. This isn’t information overload—it’s disciplined intelligence gathering.

2. Dedicated Futures Teams With Strategic Influence

Seventy-three percent of elite foresight companies maintain permanent foresight functions, compared to just 19% of basic-level organizations. But mere existence isn’t enough. What matters is structural power.

At the European Commission, strategic foresight operates under direct political leadership with coordination across all directorates-general. This institutional design ensures futures insights shape policy rather than gathering dust in reports.

Microsoft CEO Satya Nadella exemplifies leadership commitment to foresight. His 2014 decision to pivot Microsoft toward cloud-first computing wasn’t based on current market dominance but on scenario analysis showing inevitable cloud migration across all business software. The company unified around this future before competitors recognized its arrival, creating years of competitive advantage.

Effective foresight teams blend diverse skills: data scientists who detect weak signals in noise, scenario planners who craft compelling narratives, and strategists who translate implications into action. They report directly to C-suite and present regularly to boards.

3. Integration of Quantitative and Qualitative Signals

Basic organizations rely primarily on hard data—market research, financial metrics, technology adoption curves. Elite organizations combine this with qualitative intelligence: expert interviews, ethnographic research, speculative prototyping, and systematic collection of “strange” observations that don’t fit existing mental models.

World Economic Forum research emphasizes this blended approach, combining primary research, expert insights, and AI-driven pattern recognition to detect early signals of change. The goal is bypassing traditional horizon scanning for continuous, data-rich approaches that catch what purely quantitative methods miss.

When Pierre Wack developed Shell’s scenario planning methodology in the 1970s, his breakthrough came from interviewing Saudi oil ministers and Middle Eastern power brokers—qualitative intelligence that revealed the political will for oil price shocks before econometric models showed possibility. Shell prepared; competitors were blindsided.

Today’s leaders apply similar principles with modern tools. They monitor academic preprints, patent filings, startup funding patterns, regulatory commentary periods, and social media sentiment shifts—mixing structured and unstructured data to form early warning systems.

4. Scenario Planning With Wildcard Provisions

Eighty percent of surveyed companies that practice scenario planning limit themselves to 2-3 relatively conservative scenarios, usually clustered around “base case,” “upside,” and “downside” variations of existing trajectories. Elite foresight organizations develop 4-5 scenarios that explicitly include wildcards—low probability, high impact events that would fundamentally alter the playing field.

The European Commission’s 2025 Strategic Foresight Report emphasizes this “Resilience 2.0” approach: scanning not only for emerging risks but for unfamiliar or hard-to-imagine scenarios. The erosion of international rules-based orders, faster-than-expected climate impacts, and novel security challenges all require considering futures that seem implausible by today’s standards.

Effective scenarios must be relevant to decision-makers, challenging enough to stretch thinking, and plausible despite differing from conventional expectations. They become shared mental models that prepare organizations for various possibilities rather than optimizing for a single forecast.

5. Cross-Functional Collaboration Rituals

Foresight cannot be the exclusive domain of a centralized team. Leading organizations establish regular “strategic conversation” forums that bring together operations, R&D, marketing, finance, and external advisors to collectively make sense of signals and implications.

At Singapore’s government agencies, which assisted by Shell’s scenario team in the 1990s, cross-ministry foresight councils ensure that futures thinking shapes everything from education policy to infrastructure investment. This prevents siloed planning where each department optimizes for different assumed futures.

McKinsey’s Design x Foresight approach democratizes futures thinking by involving employees at all levels in scenario workshops and future concepting exercises. This builds organizational “futures literacy”—the capacity to use anticipation more effectively across all decisions, not just strategic ones.

These rituals must be structured yet creative, data-informed yet imaginatively open. The goal is collective intelligence that transcends individual mental models.

6. Technology-Enabled Early Warning Systems

Elite organizations leverage AI and machine learning to process signal volume that overwhelms human analysts. Sixty-five percent of foresight leaders deploy automated monitoring systems, compared to 23% of laggards.

BCG’s latest research on strategic foresight emphasizes blending powerful analytics with proven creative tools. Companies use natural language processing to scan millions of documents for emerging themes, anomaly detection algorithms to flag unexpected patterns, and network analysis to map how trends interconnect.

However, technology is enabler, not replacement. Humans still design what to monitor, interpret ambiguous signals, and make judgment calls about strategic implications. The most sophisticated systems create human-AI collaboration where machines provide breadth and speed while humans contribute contextual wisdom and ethical reasoning.

Companies deploying AI-powered foresight capabilities report 4.5 times greater likelihood of identifying significant opportunities early, according to survey data.

7. Leadership Commitment to “Looking Around Corners”

None of the above matters without genuine executive commitment. BCG survey findings reveal that while 71% of executives believe their companies manage strategic risks well, this confidence exceeds actual preparedness.

True commitment means:

  • Allocating permanent budget for foresight work (not just consulting projects)
  • Rewarding managers who surface uncomfortable futures (not just those who hit quarterly targets)
  • Dedicating board meeting time to scenario discussion (not just financial review)
  • Making strategic resource allocation decisions based on multiple futures (not just extrapolated forecasts)

When Andy Jassy leads Amazon strategy discussions, he reportedly begins with “what futures are we planning for?” rather than “what’s our forecast?” This subtle framing shift acknowledges uncertainty and invites adaptive thinking.

The Dual-Track Approach: Managing Knowns and Unknowns

The most sophisticated insight from the 500-company survey concerns how elite organizations structure their foresight work. They operate on two parallel tracks simultaneously: tracking predictable future events alongside genuine uncertainties.

Track One: Knowable Futures Some aspects of the future are essentially predetermined by current structure. Demographics, infrastructure replacement cycles, debt maturation schedules, regulatory implementation timelines, and geophysical trends all create knowable constraints and opportunities.

For example, we know with high confidence that by 2035, the working-age population in Japan will be smaller than today, that many European countries’ electrical grids will require massive upgrades, and that numerous corporate debt facilities will refinance at different rates. These aren’t predictions—they’re structural realities already set in motion.

Elite foresight organizations systematically catalog these knowable futures and identify strategic implications. What talent strategies does aging demographics require? Which infrastructure constraints will create bottlenecks? Where will refinancing pressures create acquisition opportunities?

Track Two: Genuine Uncertainties Simultaneously, leaders track true unknowns—factors that could evolve in fundamentally different directions. Will artificial intelligence development follow incremental improvement or breakthrough discontinuity? Will deglobalization accelerate or reverse? Will climate adaptation strategies prove more important than mitigation?

For these uncertainties, scenario planning creates alternative narratives. Rather than trying to predict which scenario will unfold, organizations prepare capabilities to succeed across multiple possibilities.

The power of this dual-track approach is avoiding both the trap of false precision (pretending uncertainty is predictable) and the trap of paralysis (claiming nothing is knowable). Both tracks inform strategy, but differently. Knowable futures drive commitments; uncertainties drive optionality.

Framework Visualization:

Imagine a matrix with two axes:

Vertical Axis (Predictability): HIGH (Knowable Trends) → LOW (True Uncertainties)

Horizontal Axis (Time Horizon): SHORT (1-2 years) → MEDIUM (3-5 years) → LONG (10+ years)

Elite companies populate all quadrants with specific items:

  • High Predictability / Short Term: Regulatory implementation schedules, major infrastructure projects
  • High Predictability / Long Term: Demographic shifts, climate trajectory, debt cycles
  • Low Predictability / Short Term: Geopolitical events, technology breakthroughs, market disruptions
  • Low Predictability / Long Term: AI capabilities, energy systems, geopolitical order

Technology Stack for Strategic Foresight in 2025

Modern foresight capabilities rely on integrated technology platforms. Here’s what leaders deploy:

Signal Detection and Aggregation: Companies use platforms like Contify, Recorded Future, and Strategyzer to aggregate signals from news, academic publications, patents, regulations, and social media. These tools employ machine learning to identify emerging patterns before they reach mainstream awareness.

Scenario Development and Testing: Software like Scenario360 and Ventana Systems enables teams to model complex scenarios with interdependent variables. Organizations can test how strategies perform under different future conditions before committing resources.

Competitive Intelligence: Platforms including CB Insights, PitchBook, and Owler track competitor moves, startup funding patterns, and market positioning shifts—providing early indicators of strategic direction changes.

Weak Signals Monitoring: Tools like Meltwater and Talkwalker detect sentiment shifts and nascent trends in unstructured data. They flag when fringe topics begin gaining traction, providing months of advance warning.

Collaborative Foresight: Software like Miro, MURAL, and IdeaScale facilitates distributed scenario workshops and futures conversations, essential as work becomes more remote and global.

The technology investment for mid-sized companies ranges from $100,000 to $500,000 annually, generating returns through earlier opportunity identification and risk avoidance worth millions.

ROI of Strategic Foresight: The Business Case

CFOs reasonably ask: what’s the financial return on foresight investment? The BCG survey provides quantifiable answers.

Companies with advanced foresight capabilities report:

  • 33% higher profitability compared to peers with basic capabilities
  • 200% greater revenue growth over five-year periods
  • Meaningful valuation premiums averaging 15-20% in comparable sector analyses

The mechanisms driving these returns:

Risk Mitigation Value: Early warning of threats enables proactive response rather than crisis management. When companies detect regulatory shifts 18-24 months before implementation rather than 6 months, they can influence outcomes and optimize compliance costs. The value here is avoiding losses.

Opportunity Capture: Foresight leaders enter new markets, acquire capabilities, and launch innovations 12-18 months before competitors recognize opportunities. First-mover advantages in emerging spaces create sustained profitability.

Strategic Efficiency: Organizations that align on clear scenarios waste less energy debating which future to plan for. Strategy execution accelerates when leadership teams share mental models of plausible futures.

Resilience Premium: Companies demonstrating systematic foresight capabilities trade at valuation premiums because investors recognize preparedness for uncertainty. This matters especially during volatility when resilient companies outperform.

One BCG client in automotive manufacturing used foresight to identify supply chain vulnerabilities 18 months before the semiconductor shortage. They secured alternative suppliers and redesigned products to reduce chip dependency, maintaining production when competitors idled plants. The revenue protection exceeded $400 million.

Implementation Roadmap: Getting Started

Most organizations don’t need to immediately build Shell-level scenario capabilities. Here’s a practical 90-day path from basic to intermediate foresight maturity:

Days 1-30: Establish Foundation

  • Designate a foresight champion (existing strategy team member is fine initially)
  • Conduct stakeholder interviews: What future uncertainties keep executives awake?
  • Create initial scanning architecture: Identify 10-15 sources across PESTLE domains (political, economic, social, technological, legal, ecological) to monitor systematically
  • Set up simple tracking system (shared spreadsheet suffices at first)

Days 31-60: First Scenario Exercise

  • Facilitate 2-day workshop with cross-functional leadership team
  • Identify 2-3 critical uncertainties most relevant to your organization’s future
  • Develop 3-4 distinct scenarios (avoid “good/bad/likely” trap)
  • For each scenario, answer: What would success look like? What early indicators would signal this future emerging?

Days 61-90: Integration and Rhythms

  • Present scenarios to board; incorporate into strategic planning cycle
  • Establish monthly “futures pulse” meeting where team reviews signals and updates scenario likelihood
  • Identify 2-3 strategic options that perform well across multiple scenarios (these become prioritized initiatives)
  • Commit budget and resources for continued foresight capability building

Common Pitfalls to Avoid:

Don’t outsource completely. External consultants can facilitate initial capability building, but foresight must become internal competency. Organizations that treat it as occasional consulting projects never develop the muscle memory.

Don’t create another strategic planning layer. Foresight should enhance and inform strategy, not become parallel bureaucracy.

Don’t expect perfect predictions. Scenarios that “come true” exactly as described means you weren’t stretching thinking enough. The goal is preparedness for surprises, not prophecy.

Don’t keep it top-secret. Broader organizational awareness of scenarios creates shared context that enables faster, more aligned responses when futures begin unfolding.

Success Metrics to Track:

  • Number of weak signals identified before competitors
  • Strategic initiatives stress-tested against multiple scenarios
  • Leadership team alignment on plausible futures (measure through surveys)
  • Reduced response time when market conditions shift
  • Resource allocation flexibility (ability to pivot without sunk cost paralysis)

The Foresight Dividend

In January 2025, when CEO surveys showed unprecedented uncertainty, companies with mature foresight capabilities faced the same volatile environment as everyone else. The difference? They had already pressure-tested strategies against scenarios including geopolitical fragmentation, AI acceleration, climate tipping points, and financial system stress.

Q: How do companies predict future trends?

They weren’t paralyzed by uncertainty—they were prepared for it. Some scenarios they’d developed years earlier were unfolding. Others proved wrong. But the organizational capacity to think in multiple futures, stress-test assumptions, and maintain strategic flexibility had become embedded culture.

Strategic foresight isn’t fortune-telling. It’s structured preparation for a range of plausible futures, systematic monitoring for early signals of which futures are emerging, and organizational agility to adapt as reality unfolds. In an era where global uncertainty measures have doubled in 30 years, this capability separates winners from casualties.

The seven percent of companies operating at elite foresight maturity aren’t smarter or luckier than others. They’re simply more systematic about the future. And systematization is learnable, replicable, and surprisingly affordable relative to returns generated.

The question isn’t whether your organization needs strategic foresight—uncertainty has already answered that. The question is whether you’ll build the capability deliberately or learn its importance through painful surprise.

The companies profiled in the 500-organization survey made their choice. The performance gap between leaders and laggards will only widen as volatility accelerates. Which side of that divide will your organization occupy in 2030?

Key Takeaway: Strategic foresight delivers quantifiable competitive advantage through systematic practices that track both predictable futures and genuine uncertainties across multiple time horizons. The capability is accessible to organizations of any size willing to build it as embedded competency rather than episodic exercise. In an era of rising uncertainty, it’s no longer optional—it’s survival insurance and growth catalyst combined.

Sources Cited:


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Analysis

Pakistan’s 7.3% Inflation Surprise in March 2026: Relief or Red Flag for 2026 Growth?

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Economic Analysis · Pakistan

The headline number beat expectations—but with core prices still sticky, oil markets roiling, and an IMF programme watching closely, Pakistan’s policymakers have little room to celebrate.

In a modest flat in Karachi’s Gulshan-e-Iqbal, Fatima Naqvi spent the first morning after Eid ul-Fitr tallying her household ledger. The good news: her grocery bill was noticeably lighter than last year’s—tomatoes back to something approximating reason, chicken no longer a luxury purchase. The unsettling news: the gas cylinder had doubled in cost, the electricity bill arrived with a new surcharge, and her husband’s April salary raise had been swallowed whole by non-food expenses before the month even began. Pakistan’s inflation for March 2026, confirmed by the Pakistan Bureau of Statistics at 7.3% year-on-year, captures both of those realities simultaneously.

The 7.3% CPI Pakistan 2026 reading was, on paper, a genuine positive surprise. The Ministry of Finance had bracketed its forecast at 7.5–8.5%. Brokerage houses Arif Habib Limited and JS Global had pencilled in a range of 7.3–7.6%. Almost every analyst on Karachi’s I.I. Chundrigar Road had warned that March would bring the most punishing base-effect spike of the year, given that Pakistan’s March 2025 CPI had crashed to a six-decade low of 0.7%—a statistical anomaly that made any year-on-year comparison brutally difficult. That the final print landed at the floor of expectations rather than the ceiling is, genuinely, the least bad outcome policymakers could have hoped for.

Yet the Pakistan headline inflation March 2026 figure also carries a caveat as wide as the Indus in monsoon season. Strip away the flattering food components, stare directly at core prices, fuel sub-indices, and the fine print of the IMF’s freshly inked third review, and the story becomes considerably more complicated. This is a moment for sober analysis, not a victory lap.

7.3% — Pakistan CPI, March 2026 (YoY) Below MoF forecast of 7.5–8.5% · Above February’s 7.0% · Versus 0.7% in March 2025 Source: Pakistan Bureau of Statistics (PBS), April 2026


The Numbers Behind the Surprise

To understand why 7.3% qualifies as a surprise, you need to appreciate the arithmetic of base effects. Pakistan’s inflation trajectory over the past 14 months has been defined by comparisons against extraordinarily benign prior-year benchmarks. In February 2026, CPI hit 7.0% year-on-year, up sharply from 5.8% in January—because February 2025’s base was itself only 1.5%. March 2025’s base of 0.7% is even lower, meaning the mechanical arithmetic alone suggested a print north of 8%. The fact that March 2026 avoided that territory reflects genuine underlying price moderation in at least some categories.

Category / IndicatorMarch 2026 (YoY)February 2026 (YoY)Direction
Headline CPI (National)7.3%7.0%↑ +0.3pp
Urban CPI~7.1%*6.8%
Rural CPI~7.6%*7.3%
Core Inflation (Non-food, Non-energy)~7.2–7.4%*~7.2%→ Sticky
Food & Non-Alcoholic Beverages~5.5%*~3.9%↑ (base-driven)
Housing, Water, Utilities, Gas~8.5%*7.3%↑ Elevated
LPG (SPI YoY, late March)+34.7%↑↑ Severe
Petrol (SPI YoY, late March)+25.8%↑↑ Severe
Diesel (SPI YoY, late March)+29.9%↑↑ Severe
Wheat Flour (SPI YoY, late March)+25.8%↑↑ Persistent
Potatoes (SPI YoY, late March)-45.7%↓↓ Deflationary
Eggs (SPI YoY, late March)-13.6%↓ Deflationary

*Estimated based on February 2026 PBS data and SPI trajectory. Full PBS March CPI release pending. Sources: PBS, Trading Economics.

The disaggregated picture is clarifying. The national headline number was rescued by dramatic declines in perishable vegetables—potatoes down nearly 46%, eggs off 14%, garlic falling 13%. This reflects good crop supply and normal seasonal correction post-winter. But these are precisely the categories that reverse fastest. Meanwhile, the structural pain points—fuel, gas, utilities, processed food—are not only elevated but trending upward. Rural households, who spend a larger share of income on food staples like wheat flour (up 26%), experienced considerably more pressure than the 7.3% aggregate implies. Rural CPI in February was already running at 7.3% against urban’s 6.8%; March likely widened that gap.

“A 7.3% headline masks a tale of two Pakistans: urban middle-class shoppers who benefited from cheap vegetables, and rural households still crushed by wheat flour and fuel costs running at 25–35% above last year.”


Why Lower Than Expected? (And Why It Still Matters)

Three forces pushed the March print below consensus. First, the Eid ul-Fitr effect on food supply—remittance inflows ahead of the holiday, combined with improved cross-border trade flows and a reasonable winter crop, helped dampen the post-Ramadan food spike that markets had feared. Second, the global oil correction: Brent crude pulled back from its March peak following brief US-Iran diplomatic signals, providing transitory relief on pump prices at precisely the measurement moment. Third, and most importantly for the analytical record, the statistical contribution of volatile perishables in the PBS CPI basket—weighted at roughly 35% for food and non-alcoholic beverages—proved more disinflationary than models projected.

None of these forces is durable. Remittance-driven food demand is seasonal. Oil diplomacy in the Middle East is fragile—at the time of writing, the region remains in active conflict with ongoing supply disruptions. And the crop year’s perishable surplus will normalise by Q2. This is why the Pakistan CPI vs Finance Ministry estimate March 2026 miss, while welcome, should not be read as a trend break.

📊 Context: The Base Effect Explained

Pakistan’s March 2025 CPI of 0.7% was the lowest reading in six decades, the result of aggressive SBP rate hikes (peak: 23% in May 2024), rupee stabilisation, and a global commodity correction. Any March 2026 reading was statistically guaranteed to look high against that base. A 7.3% print therefore still represents genuine easing relative to a purely mechanical-base scenario—but the absolute level of prices Fatima Naqvi faces in her kitchen has not fallen. The index has just risen more slowly than feared.

Comparatively, Pakistan’s trajectory holds up reasonably against its peer group. India’s CPI has been hovering around 4–5%, benefiting from more diversified energy supply and larger agricultural buffers. Bangladesh has faced its own food inflation pressures above 9%. Among IMF programme countries in emerging Asia, Pakistan’s 7.3% sits in the middle of the distribution—not alarming, not reassuring.

Global and Domestic Headwinds Looming

The timing of the March CPI release could not be more loaded with context. Just days earlier, on March 27, 2026, the IMF completed its third review of Pakistan’s 37-month Extended Fund Facility—reaching a staff-level agreement that unlocks approximately $1.2 billion in disbursements ($1.0 billion under the EFF and $210 million under the Resilience and Sustainability Facility). The IMF’s statement was diplomatically careful but strategically explicit: the Middle East conflict “casts a cloud over the outlook” as volatile energy prices and tighter global financial conditions risk pushing inflation higher and weighing on growth.

The Fund went further. The SBP was explicitly reminded to stand ready to raise interest rates “should price pressures intensify.” That is not boilerplate language; it is a conditional threat embedded in a bilateral agreement. Pakistan’s policymakers understand that the 7.3% March print—while below forecast—does not represent the all-clear.

⚠️ Risk Radar: What Could Push Inflation Back Above 9%

The SBP’s own March 2026 policy statement cited analysts warning of inflation reaching approximately 9.25% by Q2 FY2026. The key transmission mechanisms: (1) oil price pass-through via petrol and diesel—already at +26% and +30% YoY respectively on weekly SPI data; (2) electricity and gas tariff adjustments required under IMF energy sector viability conditions; (3) currency depreciation pressure if Middle East tensions tighten global dollar liquidity; (4) wheat flour stubbornly at +26% YoY, an anchor commodity in the rural poor’s consumption basket.

Pakistan’s energy situation deserves particular attention. The SBP held its benchmark policy rate at 10.5% in March, extending the pause in its easing cycle—but the reasons cited were almost entirely external. Oil prices had surged amid Middle East escalation. Pakistan, as a heavy importer of refined fuels, transmits global energy shocks directly into its CPI with a lag of four to eight weeks. The LPG price spike visible in the SPI data—up 35% year-on-year by the final week of March—is a leading indicator, not a coincidence. Energy sector circular debt remains the structural ulcer that no monetary policy can treat.

Remittances, by contrast, remain a genuine bright spot. The SBP’s January 2026 monetary policy statement noted that worker remittances continue to run strongly, and the IMF’s third review acknowledged their role in containing current account pressures. Eid-season inflows in late March 2026 provided a real demand buffer. With SBP foreign exchange reserves expected to surpass $18 billion by June 2026, the external account is in its healthiest position in years. But reserves and food-price relief are not the same thing for the 60% of Pakistanis who live on incomes below the median.

What This Means for Pakistanis and Policymakers

The gap between the headline statistic and the lived experience of ordinary Pakistanis is the central policy communication failure of this moment. Core inflation—which strips out volatile food and energy—has been running at approximately 7.2–7.4% since late 2025, unchanged despite the headline number oscillating. Core inflation is the signal; it tells you what employers are implicitly pricing into wage offers, what landlords are building into rent reviews, and what service-sector firms are assuming about input costs. At 7.2–7.4%, core inflation remains above the SBP’s 5–7% target band’s midpoint. Real wages for formal-sector workers—assuming nominal raises of 10–12%—are barely keeping pace. For the informal sector, which accounts for the majority of Pakistan’s labour force, real purchasing power has not recovered to 2022 levels.

For the State Bank, the SBP policy rate after March 2026 inflation is an easier decision than it was three months ago, but not a comfortable one. The 10.5% rate was held in March; a cut before June looks nearly impossible given the IMF’s explicit hawkish guidance. The earliest credible window for easing is late FY2026—June or July—and only if energy prices stabilise and the Q2 CPI print does not validate the 9.25% projection. The SBP’s own December 2025 rate cut, which surprised markets, now looks like a calculated bet that the base-effect spike would be temporary. The March 2026 data gives that bet a modest early validation—but not yet vindication.

For fiscal policy, the picture is sharper still. The IMF requires Pakistan to achieve a primary budget surplus of 1.6% of GDP in FY2026, progressing toward 2% in FY2027. The Federal Board of Revenue’s tax collection growth has slowed to approximately 9.5%, well below last year’s 26% pace, creating a Rs 329 billion shortfall. Lower-than-expected inflation mathematically reduces nominal tax revenues. That fiscal tightness, combined with energy sector tariff obligations, means the government has very little room for consumer-protecting interventions—even as middle-class purchasing power remains under real strain.

IndicatorValueStatus
Headline CPI, March 20267.3% YoY✓ Below MoF forecast
Core Inflation (Jan 2026, latest)~7.2–7.4%⚠ Above SBP target midpoint
SBP Policy Rate10.5%→ On hold (Mar 2026)
SBP Inflation Target Range5–7%⚠ Breached on upper end
FX Reserves (SBP)$15.8B+✓ Rising; target $18B by Jun
IMF EFF Status3rd review SLA signed✓ $1.2B unlocked (Mar 27)
GDP Growth Target, FY20264.2%⚠ At risk; SBP sees 3.75–4.75%
LSM Growth, Q1 FY2026+4.1% YoY✓ Broad-based recovery
FBR Tax Revenue Growth+9.5% YoY⚠ Rs 329B shortfall

Sources: PBS, SBP Monetary Policy Statements, IMF Third Review Staff-Level Agreement (March 27, 2026), Trading Economics.


Lessons for 2026 and Beyond: The Reform Imperative

Here is the honest, uncomfortable truth that Pakistan’s inflation data keeps telling us, month after month: the stabilisation is real, but it is shallow. Pakistan has achieved headline inflation below double digits by combining IMF-conditioned fiscal discipline, SBP rate hikes that briefly hit 23%, and the extraordinary statistical luck of an ultra-low comparison base. None of that is structural disinflation. None of it addresses why wheat flour costs 26% more than a year ago, why LPG has become a luxury item in rural Sindh, or why electricity tariffs must keep rising to service a circular debt that has been accumulating for three decades.

The countries that have genuinely conquered inflation—India in the 2010s, Indonesia post-2015, even Bangladesh through much of the 2010s—did so by investing heavily in agricultural supply chains, diversifying energy sources away from imported fossil fuels, and broadening the tax base so that fiscal deficits did not repeatedly force monetary tightening. Pakistan has undertaken partial versions of all three under the current EFF, but partial is the operative word. The IMF’s third review noted progress on energy sector reforms while flagging that circular debt prevention requires “timely tariff adjustments that ensure cost recovery”—a polite formulation for: tariffs will keep rising, and the poor will bear a disproportionate share of that burden unless social protection scales accordingly.

The Benazir Income Support Programme has been expanded, with inflation-adjusted transfers and broader coverage explicitly acknowledged in the IMF staff-level agreement. That is meaningful. But BISP reaches approximately 9 million households; Pakistan’s population is 245 million. The middle class—the salaried professionals, the small traders, the schoolteachers—falls precisely in the gap between BISP eligibility and meaningful real wage recovery. They are the group for whom 7.3% inflation is not relief; it is just a slower form of erosion.

This is where opinion must be plainly stated: Pakistan cannot afford to treat a below-forecast CPI print as an excuse to delay structural reform. The window that the current IMF programme, rising reserves, and recovering industrial output has opened is narrow. Energy sector privatisation, agricultural investment, tax base broadening, and exchange rate flexibility as a genuine shock absorber rather than a managed decline—these are not optional supplements to the stabilisation programme. They are the programme, in its meaningful form.

The bottom line on Pakistan inflation March 2026: 7.3% is genuinely lower than feared, and analysts, policymakers, and ordinary households alike are entitled to take a moment’s breath. Pakistan has come a long way from the 30.8% inflation peak of 2023. But core prices are sticky, fuel costs are brutal, rural households remain under severe pressure, and the IMF’s own assessment warns that Middle East volatility could still push Q2 CPI toward 9%. The SBP will hold rates. The government must hold its fiscal nerve. And Pakistan’s political economy must find the courage to push through energy and agricultural reforms while the external account is, for now, in reasonable shape.

Fatima Naqvi’s ledger tells you what the index cannot: stability is not the same as relief, and relief is not the same as prosperity. The next six months will determine which of those three words defines Pakistan’s 2026.

Frequently Asked Questions

Was Pakistan’s inflation lower than expected in March 2026? Yes. Pakistan’s headline CPI inflation for March 2026 registered at 7.3% year-on-year, below the Ministry of Finance’s forecast range of 7.5–8.5% and at the lower end of brokerage estimates of 7.3–7.6%. The positive surprise was driven largely by steep declines in perishable vegetable prices (potatoes -46%, eggs -14%) that offset persistent fuel and utility inflation.

What is the impact of 7.3% inflation on Pakistan’s economy in 2026? The reading provides the SBP justification to keep the policy rate on hold at 10.5% rather than hiking, supporting the IMF EFF programme narrative. However, core inflation remains sticky at 7.2–7.4%, real wage growth for informal workers is barely positive, and Pakistan’s 4.2% GDP growth target for FY2026 is under pressure from Middle East-related supply chain disruptions and a Rs 329 billion tax revenue shortfall.

How does Pakistan’s CPI compare to the Finance Ministry estimate for March 2026? The Ministry of Finance had forecast March 2026 inflation at 7.5–8.5%, anticipating a base-effect spike from March 2025’s historically low 0.7% CPI. The actual 7.3% print came in below the floor of that range—a roughly 20–30 basis point positive surprise—reflecting better-than-expected food supply conditions and a temporary Brent crude correction.

Will the SBP cut rates after the March 2026 inflation data? A near-term rate cut is unlikely. The SBP held at 10.5% in March 2026, citing Middle East oil risks. While the CPI surprise reduces hike pressure, the IMF’s explicit call for “appropriately tight” monetary policy and sticky core inflation mean the earliest realistic window for easing is late FY2026 (June–July) or into FY2027, and only if Q2 CPI avoids the feared 9%+ range.

What are the main risks to Pakistan’s inflation outlook for the rest of 2026? The primary risks are: (1) Middle East-driven oil price volatility transmitting through LPG (+35% YoY), petrol (+26%), and diesel (+30%); (2) mandatory electricity and gas tariff increases under the IMF’s energy sector viability conditions; (3) rupee depreciation pressure amid global financial tightening; and (4) any monsoon-related agricultural disruption in H2 2026 that reverses the current perishable price relief.


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Analysis

The Global Economy Turns Out to Be More Resilient Than We Had Feared

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There was a moment, somewhere in the fog of mid-2025, when the prevailing consensus on Wall Street and in the marble corridors of multilateral institutions was something close to dread. U.S. tariffs had mushroomed into the most aggressive trade barriers since Smoot-Hawley. Shipping lanes were fractured. Geopolitical fault lines — in the Middle East, in the Taiwan Strait, across the ruins of eastern Ukraine — had not so much deepened as multiplied. The prophets of doom were well-provisioned with data. And yet, here we are. The global economy, battered and limping, is still standing — and in certain respects, walking rather faster than feared.

This is not a triumphalist story. The global economy more resilient than feared narrative deserves neither uncritical celebration nor smug vindication. What it demands is honest, clear-eyed examination. Why did the worst not happen? What forces absorbed the blows? And — most critically — does the resilience we are witnessing reflect structural strength, or is it a borrowed grace, a temporary reprieve before deeper reckonings arrive?

The numbers, for now, tell a story of surprising steadiness. The IMF’s January 2026 World Economic Outlook projects global growth at 3.3 percent for 2026 and 3.2 percent for 2027 — a small but meaningful upward revision from October 2025 estimates. IMF Managing Director Kristalina Georgieva, speaking at Davos in January 2026, called this outcome “the biggest surprise” — a remarkable concession from the head of the institution whose job it is, partly, to anticipate exactly this. Meanwhile, the UN Department of Economic and Social Affairs estimated 2025 global growth at 2.8 percent, better than expected given the tariff storm that rolled through international trade. The OECD, for its part, subtitled its December 2025 Economic Outlook “Resilient Growth but with Increasing Fragilities” — a formulation that is, in its cautious way, almost poetic.

The Four Pillars of an Unlikely Resilience

So what happened? Why didn’t it break?

1. The Private Sector Adapted Faster Than Governments Could Fragment

Perhaps the single most underappreciated force in the global economy’s durability is the sheer agility of the private sector. Georgieva at Davos was blunt about it: globally, governments have stepped back from running companies, and the private sector — “more adaptable, more agile” — has filled the void. When tariffs on certain trade corridors spiked, supply chains did not collapse so much as reroute. Manufacturers diversified sourcing from China to Vietnam, Mexico, and India. Companies front-loaded exports ahead of anticipated barriers, producing a short-term trade surge that buffered 2025 GDP figures across multiple economies. The OECD noted that global growth continued at a resilient pace, driven in part by the front-loading of trade in anticipation of higher tariffs earlier in the year, alongside strong AI investment and supportive macroeconomic policies.

This is, of course, a partial answer. Front-loading is not structural growth — it borrows demand from the future. But it bought time, and time, in economics, is often everything.

2. Technology Investment as the New Growth Engine

The second pillar is one that carries both the greatest promise and the most dangerous ambiguity: the relentless surge in artificial intelligence and broader information technology investment. The IMF’s analysis identified continued investment in the technology sector — especially AI — as a key driver of resilience, acting as “a very powerful driver of growth and potentially prosperity”. The OECD’s data underscores the geography of this boom: AI-related trade now accounts for roughly 15.5 percent of total world merchandise trade, with two-thirds of that originating in Asia. Tech exports from Korea and Chinese Taipei continued rising into late 2025. In the United States, the numbers are almost surreal: strip out AI-related investments, and U.S. GDP contracted slightly in the first half of 2025.

This tells you something important. The global economy’s resilience in 2025–26 is, in significant measure, a tech-sector story. It is a story concentrated in a handful of companies, a handful of geographies, and a single technological paradigm. That concentration is both the source of its power and the root of its fragility — a point we will return to.

3. Monetary and Fiscal Policy Did Not Drop the Ball

History will be reasonably kind to the monetary policymakers of this era — not because they were brilliant, but because they did not, on balance, panic. Central banks that had raised rates aggressively through 2022–23 began easing with measured care as inflation declined. Global headline inflation fell from 4.0 percent in 2024 to an estimated 3.4 percent in 2025, with further moderation projected toward 3.1 percent in 2026. This easing in price pressures gave central banks room to cut, which in turn supported financial conditions, credit availability, and investment flows. The IMF noted that “accommodative financial conditions” were among the key offsetting tailwinds to trade disruptions.

Fiscal policy, too, surprised — though not without cost. Governments spent. Defence budgets expanded. Industrial policy packages — from the remnants of U.S. clean energy subsidies to the EU’s Recovery and Resilience Facility — continued channelling public money into capital formation. The bill, of course, is accumulating. But in 2025 and into 2026, fiscal firepower helped absorb shocks that might otherwise have cascaded.

4. Emerging Market Resilience Held the Global Average

The fourth pillar is often underweighted in Western commentary: the developing world, especially in Asia, continued to grow. South Asia is forecast to expand 5.6 percent in 2026, led by India’s 6.6 percent expansion, driven by resilient consumption and substantial public investment. Africa is projected at 4.0 percent. These are not trivial numbers. When commentators in New York or London describe the global economy as “resilient,” they are describing an aggregate that is substantially upheld by hundreds of millions of consumers and workers in economies whose stories rarely make the front page of financial newspapers. The heterogeneity is stark: the OECD bloc muddles along; the emerging world, in many places, runs.

The Data Beneath the Headlines: A Comparative Snapshot

Institution2025 Global Growth2026 ForecastKey Drivers Cited
IMF (Jan 2026)3.3%3.3%AI investment, fiscal/monetary support, private sector agility
OECD (Dec 2025)3.2%2.9%Front-loading, AI trade, macroeconomic policy
UN DESA (Jan 2026)2.8%2.7%Consumer spending, disinflation, EM domestic demand

The discrepancies in headline figures reflect genuine methodological differences — purchasing power parity weighting, country coverage, base year choices. But the directional consensus is unmistakable: the world grew more in 2025 than it was expected to when tariff escalation peaked. That is a fact worth sitting with.

Why the Resilience Is Under-Appreciated (and Why That Matters)

Here is an inconvenient truth about economic discourse: bad news travels faster, and fear is more monetisable than optimism. The financial media ecosystem is structurally incentivised to amplify downside scenarios. The think tanks that warned loudest about a tariff-induced recession in 2025 are not, by and large, issuing prominent corrections.

This matters because misread resilience breeds misguided policy. If policymakers believe the economy is weaker than it actually is, they over-stimulate — running up debt, inflating asset prices, postponing necessary reforms. If investors believe fragility is the baseline, they underallocate capital to productive long-term investments in favour of short-term hedging. Getting the diagnosis right is not academic; it shapes behaviour, and behaviour shapes outcomes.

The IMF noted that the trade shock “has not derailed global growth” and that global economic growth “continues to show considerable resilience despite significant trade disruptions caused by the US and heightened uncertainty”. Georgieva’s “biggest surprise” framing is telling: even the IMF, with all its modelling resources, did not anticipate the degree of offset. That should prompt a certain epistemic humility about our collective ability to forecast economic shocks — and perhaps a corresponding caution about declaring the worst inevitable next time.

The Fragilities That Resilience Is Masking

And yet. Here is where intellectual honesty demands a sharp turn.

The IMF warned explicitly that the current resilience “masks underlying fragilities tied to the concentration of investment in the tech sector,” and that “the negative growth effects of trade disruptions are likely to build up over time.” The OECD’s subtitle — “Resilient Growth but with Increasing Fragilities” — deserves to be read in full, not just the first half. There are at least five structural vulnerabilities that the headline growth numbers obscure.

The AI Bubble Risk Is Real and Underpriced

The same technology boom that is holding up the global economy today could become its undoing if expectations are not met. The IMF cautioned explicitly about the risk of a correction in AI-related valuations, warning that if tech firms fail to “deliver earnings commensurate with their lofty valuations,” a correction could trigger lower-than-expected growth and productivity losses. The OECD echoes this: weaker-than-expected returns from net AI investment could trigger widespread risk repricing in financial markets, given stretched asset valuations and optimism about corporate earnings.

Strip out AI investment from U.S. GDP and the economy contracted in early 2025. That is a remarkable statement of concentration risk, and it deserves to be said plainly: a significant portion of what we are calling “global resilience” is a bet on AI productivity gains materialising at scale, on schedule. That bet may be correct. It may also be the largest speculative bubble since the dot-com era, dressed in more sophisticated clothes.

Public Debt Is a Ticking Clock

Governments spent their way through the pandemic, then through the inflation crisis, then through the tariff shock. The fiscal bills are accumulating. The OECD flagged that high public spending pressures from rising defence requirements and population ageing are increasing fiscal risks, while NATO countries plan to raise core military spending to at least 3.5% of GDP by 2035. The IMF maintains that governments still have “important work to do to reduce public debt to safeguard financial stability.” None of this is new, but the accumulation of deferred reckoning is reaching levels where the next shock — a pandemic, a financial crisis, a major military conflict — will find fiscal buffers meaningfully depleted.

Geopolitical Fragmentation Has Not Stabilised

The Strait of Hormuz, through which roughly a fifth of global oil supply normally flows, saw shipping traffic fall 90 percent during a fresh Middle East escalation. The IMF’s Georgieva warned that if the new conflict proves prolonged, it has “clear and obvious potential to affect market sentiment, growth, and inflation”. For Japan alone, close to 60 percent of oil imports transit through the strait. For Asia broadly, the exposure is existential in energy security terms. The tariff wars between the U.S. and China have eased somewhat from their 2025 peaks, but the WTO’s Director-General has warned that a full U.S.-China economic decoupling could reduce global output by 7 percent in the long run — a figure that dwarfs any AI productivity upside currently modelled.

Inequality Is Widening, Not Narrowing

The resilience of the global aggregate conceals a distributional disaster. The UN Secretary-General António Guterres noted that “many developing economies continue to struggle and, as a result, progress towards the Sustainable Development Goals remains distant for much of the world”. High prices continue to erode real incomes for low- and middle-income households across the globe, even as headline inflation falls. AI productivity gains, where they materialise, are accruing disproportionately to capital owners and highly skilled workers in a handful of advanced economies. The Davos consensus on AI-as-equaliser remains aspirational, not empirical.

Supply Chain Concentration Has Not Been Solved

The pandemic briefly sensitised policymakers to the fragility of hyper-concentrated global supply chains. Yet China still accounts for more than 50 percent of all rare earth mining and lithium globally, and more than 90 percent of all magnet manufacturing and graphite. These are not peripheral materials — they are the physical substrate of the AI economy, the clean energy transition, and modern defence systems. A single supply disruption event here would cascade through semiconductors, electric vehicles, wind turbines, and data centres simultaneously. The diversification rhetoric remains largely rhetoric.

What Genuine Resilience Would Actually Look Like

Reading the data carefully, one is struck by the difference between resilience as a condition and resilience as a strategy. What the global economy has demonstrated since 2022 is resilience of the first kind: absorption capacity, improvisational agility, the ability to muddle through. What it has not yet demonstrated is resilience of the second kind: the deliberate construction of buffers, the investment in systemic redundancy, the political willingness to accept short-term costs for long-term stability.

Georgieva’s injunction at Davos — “learn to think of the unthinkable, and then stay calm, adapt” — is good personal advice. As a framework for global economic governance, it is insufficient. Here, then, is what bold, prescription-level thinking demands:

1. A Multilateral AI Investment Framework. The AI boom cannot continue to be managed as a purely national or corporate phenomenon. A framework housed at the WEF or the OECD should establish shared standards for AI investment disclosure, productivity accounting, and systemic risk assessment. If AI is indeed driving 15 percent of world merchandise trade, it deserves the kind of multilateral oversight that financial instruments won — slowly, imperfectly — after 2008.

2. Coordinated Fiscal Consolidation Timelines. The IMF’s calls for debt reduction need to be backed by credible multilateral timelines, not just bilateral conditionality. A G20-level framework that sequences fiscal consolidation against growth indicators — rather than imposing austerity into downturns — would give markets clearer signals while protecting public investment in strategic sectors.

3. Strategic Supply Chain Diversification, Funded Publicly. The World Bank and regional development banks should establish dedicated financing windows for critical minerals diversification and processing capacity outside current concentration zones. This is not protectionism — it is systemic risk management, and it is overdue.

4. A Green and Digital Investment Compact for the Global South. The differential between 6.6 percent growth in India and negative growth in parts of sub-Saharan Africa is not inevitable — it reflects infrastructure deficits and financing gaps that multilateral institutions have the tools, if not always the will, to address. The UN DESA report is explicit: without stronger policy coordination, today’s pressures risk locking the world into a lower-growth path, with developing nations shouldering a disproportionate share of the pain.

5. Central Bank Independence as a Non-Negotiable. The IMF has stressed that central bank independence remains critical for both price stability and credibility. In an era when political leaders are increasingly tempted to subordinate monetary institutions to short-term electoral calculations — particularly around the inflation-tariff nexus — this point deserves repetition, loudly, without apology.

The Verdict: Resilient, But Not Invulnerable

Let us be precise about what the evidence shows. The global economy has absorbed, without breaking, a series of shocks that would have qualified as catastrophic by pre-pandemic standards. It has done so through a combination of technological investment, fiscal and monetary firepower, private sector adaptability, and the sheer demographic and economic weight of emerging economies continuing to grow. This is genuinely impressive. It should not be dismissed.

But resilience in a storm is not the same as being sea-worthy. The hull is holding — for now. The debt levels are high and rising. The geopolitical weather is worsening. The AI boom is either the most transformative force since the industrial revolution or the most dangerous speculative bubble since tulips, and the honest answer is that we do not yet know which. As the IMF’s own blog put it in January 2026, the challenge for policymakers and investors alike is “to balance optimism with prudence, ensuring that today’s tech surge translates into sustainable, inclusive growth rather than another boom-bust cycle.”

Georgieva’s injunction rings true: “We need to not only understand why it is resilient, but nurture this resilience for the future.” That is the work that has not yet been done. The economy has surprised us. The question is whether we are surprised enough to actually change course — or whether, as so often in history, relief becomes complacency, and complacency becomes the seed of the next crisis.

The global economy is more resilient than we feared. It is less resilient than we need it to be. That gap — between the relief of today and the demands of tomorrow — is the most important space in contemporary economic policy. Filling it requires not optimism alone, nor pessimism, but something rarer and more valuable: clarity.


📊 Key Growth Forecasts at a Glance (2025–2027)

Economy2025 (Est.)2026 (Forecast)2027 (Forecast)
World (IMF)3.3%3.3%3.2%
World (UN DESA)2.8%2.7%2.9%
World (OECD)3.2%2.9%3.1%
United States~1.9–2.0%2.0–2.4%1.9–2.0%
China5.0%4.4–4.5%4.3%
Euro Area1.3%1.2–1.3%1.4%
India~6.3%6.3–6.6%6.5%
Japan1.1–1.3%0.7–0.9%0.6–0.9%

Sources: IMF WEO January 2026; OECD Economic Outlook December 2025; UN DESA WESP 2026


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Analysis

One year of Trump tariffs: What has changed and what’s next for South-east Asia?

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Nguyen Thi Lan still remembers the WhatsApp messages that flooded her factory floor in Bac Ninh on the morning of April 3, 2025. The production manager at a Foxconn supplier had stayed up watching the “Liberation Day” announcement from Washington—and by dawn, she was fielding panicked calls from buyers in Texas who wanted to know whether to rush their orders before new tariffs hit. Within seventy-two hours, her factory was running double shifts. Twelve months later, that same plant exported more electronics than ever before. Her story, repeated across thousands of workshops from Hanoi to Ho Chi Minh City, encapsulates the central paradox of one year of Trump tariffs on South-east Asia: a region initially earmarked for punishment has, in many respects, survived—and in some corners, even thrived.

But survival is not the same as security. Twelve months on from Liberation Day, the landscape for Trump tariffs in South-east Asia has been permanently altered by front-loaded shipments, bilateral deal-making, a landmark Supreme Court ruling, and now a fresh wave of legal uncertainty. The full reckoning is still unfolding—and what comes next may be more consequential than the original shock.

The Initial Shock: Liberation Day Hits ASEAN Where It Hurts

On April 2, 2025, President Donald Trump invoked the International Emergency Economic Powers Act (IEEPA) to impose a 10% baseline tariff on most US imports, layered with country-specific “reciprocal” duties tied to bilateral trade surpluses. South-east Asia bore a disproportionate share of the pain.

The headline rates were staggering:

  • Cambodia: 49%
  • Vietnam: 46%
  • Thailand: 36%
  • Indonesia: 32%
  • Malaysia: 25%
  • Philippines: 17%
  • Singapore: 10%

For a region whose economic model is built on export-led growth and deep integration into US-bound supply chains, the numbers were existential. Vietnam’s exports to the United States had reached $136.6 billion in 2024, representing roughly 30% of its GDP. Cambodia’s garment sector, which ships nearly 40% of its textiles to American retailers, faced near-annihilation at a 49% rate. Thailand’s automotive and electronics exporters confronted the steepest competitive shock in a generation.

The CSIS Southeast Asia programme noted that Vietnam, Indonesia, Thailand, and Cambodia were among the first governments to reach out to Washington after the announcement, reflecting acute exposure rather than diplomatic formality. ASEAN’s collective response was muted—Malaysian Prime Minister Anwar Ibrahim urged a unified bloc response, but cohesion proved elusive when every nation was simultaneously scrambling for bilateral favours.

How South-east Asia Weathered the Storm

The region’s initial survival relied on four mechanisms that, taken together, blunted the sharpest edges of the tariff regime.

Front-loading and shipment surges were the first reflex. US importers, facing an April 9 implementation date on the reciprocal tariffs, accelerated orders en masse. Vietnam’s Hai Phong port logged record throughput in Q2 2025. According to PwC’s Vietnam economic update, total exports grew by approximately 16% in the first nine months of 2025, led by electronics, computers and components—up 46% year-on-year—with the US accounting for roughly 32% of total exports throughout. Some of this was inventory stuffing; buyers pulled forward months of orders to beat the tariff clock. It worked—temporarily.

The ninety-day pause bought critical breathing room. Within a week of Liberation Day, Trump suspended the reciprocal tariffs after claiming over 75 countries had sought negotiations. That window became the region’s dealmaking season.

Sector exemptions provided a structural lifeline, especially for technology. Under heavy lobbying from Apple, Nvidia, and other US tech giants, consumer electronics—including laptops, smartphones and components—were carved out of the reciprocal tariff regime. This was quietly transformative for Malaysia and Vietnam, where semiconductor and electronics exports constitute the bulk of trade flows. The Lowy Institute estimates that Malaysia’s effective US tariff rate in late 2025 was approximately 11%—far below its headline 19% rate—precisely because electronics, its dominant export, remained largely exempt.

Bilateral deals followed in rapid succession. By October 2025, the US had announced trade agreements with Cambodia and Malaysia and framework deals with Thailand and Vietnam at the ASEAN summit. These deals collectively covered approximately $323 billion in US-ASEAN trade—about 68% of the two-way total. The resulting tariff rates, 19% for most ASEAN exporters and 20% for Vietnam, were far higher than pre-Liberation Day levels, but dramatically lower than the initial shock rates—and, critically, lower than the 145% still applied to Chinese goods.

The deals had teeth beyond tariffs. Cambodia and Malaysia agreed to adopt US tariff schedules on third countries—a thinly veiled anti-China clause. Vietnam committed to cracking down on transshipment, accepting a punitive 40% levy on goods rerouted from China. Malaysia pledged a $70 billion capital investment fund in the US and commitments to purchase $150 billion in American semiconductors, aerospace components and data centre equipment over the life of the deal.

The Supreme Court Ruling: Game Changer or New Uncertainty?

The most dramatic chapter of this twelve-month arc arrived not in a trade negotiating room but in the marble halls of the US Supreme Court.

On February 20, 2026, the Court ruled 6-3 in Learning Resources, Inc. v. Trump that IEEPA does not authorise the President to impose tariffs. Chief Justice John Roberts, writing for the majority, held that IEEPA’s authority to “regulate importation” cannot be stretched to encompass the power to tax—a power that, under the Constitution, belongs to Congress alone. “Those words,” Roberts wrote of the two clauses invoked by the administration, “cannot bear such weight.” The ruling invalidated both the reciprocal tariffs and the fentanyl-related duties on China, Canada and Mexico—the entire IEEPA-based tariff architecture.

The Court’s decision was, technically, a victory for free trade. In practice, it was a pivot, not a retreat.

Within hours, Trump signed a proclamation invoking Section 122 of the Trade Act of 1974 to impose a replacement 10% global tariff, which he raised to the statutory maximum of 15% the following day. Section 122, rarely used before this administration, authorises a temporary import surcharge of up to 15% for up to 150 days to address balance-of-payments deficits. Treasury Secretary Scott Bessent stated publicly that combining Section 122, Section 232, and Section 301 tariffs “will result in virtually unchanged tariff revenue in 2026″—an extraordinary admission that the intent was to maintain the same aggregate tax burden through different legal wrappers. The Section 122 tariffs are set to expire on July 24, 2026, unless extended by Congress.

For South-east Asia, the ruling introduced a new problem: legal fragility. Trade deals struck under the IEEPA regime now occupy uncertain territory. If the underlying executive orders were unlawful, the bilateral concessions extracted from ASEAN governments—market access commitments, anti-transshipment pledges, investment promises—rest on a legally contested foundation. Importers who paid an estimated $160–$175 billion in IEEPA tariffs over the past year are now pursuing refunds through the Court of International Trade, though the administration has signalled it does not plan to issue refunds voluntarily.

As the Peterson Institute for International Economics warned, the central challenge for businesses in 2026 is not the level of tariffs—it is their chronic instability. “Rates changed with little notice, creating planning challenges for firms managing inventory, contracts, and payroll,” PIIE analysts noted. The US average effective tariff rate climbed to nearly 17% in 2025—the highest since the early 1930s.

What Has Changed: Supply Chain Reshaping, Winners and Losers

Vietnam: The Reluctant Champion

No country in South-east Asia embodies the tariff era’s contradictions more sharply than Vietnam. Despite facing a 46% headline rate—among the steepest globally—the country’s economy grew 8.02% in 2025, its second-best performance in fifteen years. Exports to the US leapt 28% year-on-year to $153.2 billion, and its trade surplus with Washington hit a record $134 billion—higher, not lower, than before Liberation Day.

The engine of this paradox was electronics. A Bloomberg analysis of customs data published in April 2026 found that Foxconn’s Fukang Technology factory in Bac Ninh alone exported $8.6 billion in electronics—more than double its 2024 value—with most shipments being MacBooks bound for the US. Laptop output in Bac Ninh province surged 130% in 2025; smartphone production rose 39%. Vietnam had quietly surpassed neighboring Southeast Asian competitors as one of the US’s leading chip and electronics suppliers.

The caveat is profound. The same Bloomberg analysis revealed that Fukang’s exports generated only 7.8% of their value in Vietnam—the rest was imported components, primarily from China. The China+1 story is, in many cases, a China+assembly story. As ING analysts noted, imports from China into Vietnam surged 24% year-on-year in the first half of 2025, raising the spectre of rampant transshipment. The 40% tariff on Vietnamese transshipped goods is designed to address exactly this structural problem—but enforcement is technically complex and politically fraught.

Malaysia: Tech’s Safe Harbour

Malaysia’s effective tariff arithmetic worked strongly in its favour. Its headline rate of 19% masked an effective rate of roughly 11% due to electronics exemptions—and the country’s deal with Washington, anchored by that landmark $70 billion investment pledge and semiconductor purchase agreement, secured considerable market access. FDI inflows into Malaysia’s semiconductor ecosystem, already boosted by TSMC’s and Intel’s regional expansions, accelerated through 2025. The East Asia Forum noted that Malaysia’s effective tariff advantage over China has widened substantially, reinforcing its role as a chip-packaging and testing hub.

Cambodia: The Casualty

The story of Cambodia is the story the tariff triumphalists do not tell. As a garment-dominated economy with limited capacity for deals or diversification, Phnom Penh was structurally exposed. Even after negotiations brought its rate from 49% down to 19%, Cambodian textiles—unlike Vietnamese electronics—enjoy no sector exemptions and limited productivity edge. The Lowy Institute found that Chinese consumer imports into Cambodia rose by 128% as deflected Chinese goods flooded the domestic market, squeezing local producers from both directions: losing US market access at the top while competing with surging Chinese imports at the bottom.

Indonesia and Thailand: Cautious Resilience

US goods trade data shows the deficit with Indonesia rose 11% and with Thailand 23% in 2025, with US imports actually rising even under 19-20% tariffs. Indonesia’s September 2025 effective tariff rate was 19.7%—the highest among ASEAN’s five largest trading partners—because its electronics sector, smaller than Malaysia’s or Vietnam’s, captures fewer exemptions. Thailand’s effective rate was around 10%, reflecting both sector exemptions and its July 2025 deal, but automotive and industrial exporters remain squeezed.

What’s Next: The 2026 Outlook

The 150-day Section 122 tariff clock is running. It expires on July 24, 2026—and Congress, which has passed bills disapproving of the IEEPA tariffs, is unlikely to extend them. What happens after July 24 will define South-east Asia’s trade environment for years.

The Section 301 Sword

The most alarming development for the region arrived on March 11, 2026, when the US Trade Representative launched sweeping Section 301 investigations targeting 16 economies for “structural excess manufacturing capacity”. The target list reads like an ASEAN who’s who: Vietnam, Thailand, Malaysia, Cambodia, Indonesia, Singapore. Unlike Section 122, Section 301 tariffs carry no time limit and no statutory cap. They are the administration’s mechanism of choice for permanent, targeted levies—and the March investigations are almost certainly the vehicle for reimposing tariffs equivalent to the now-unlawful IEEPA rates after July.

For governments that signed bilateral deals under the IEEPA regime, this creates a Kafkaesque dilemma: they made substantial concessions in exchange for tariff relief that the Supreme Court has since voided—and they may face equivalent tariffs again through a different legal channel, without the negotiating leverage that initial shock created.

The Diversification Imperative

The one structural positive to emerge from this tumultuous year is the acceleration of diversification. The EU has concluded FTAs with Indonesia and is exploring enhanced cooperation with Malaysia, the Philippines, and Thailand. The CPTPP has expanded its footprint; Indonesia and the Philippines have applied for membership. The China-ASEAN FTA has been upgraded. These initiatives will not replace US demand in the near term—the American market’s $1+ trillion appetite for manufactured goods remains without peer—but they create structural alternatives that previous generations of ASEAN policymakers never fully developed.

The China Tilt Risk

There is also a darker possibility that few in Washington appear to be taking seriously. Every punitive measure that the US imposes on ASEAN without commensurate market access has a mirror-image effect: it pushes the region’s economic centre of gravity toward Beijing. China is already Vietnam’s largest trading partner, Malaysia’s top import source, and the primary origin of investment capital flooding into Cambodia and Myanmar. If the Section 301 investigations result in tariff rates that undo the competitive advantages ASEAN countries have spent a decade cultivating, the incentive to deepen China linkages—on infrastructure financing, digital standards, and supply chain integration—grows commensurately.

Conclusion: The Long Game Has Only Just Begun

One year of Trump tariffs has produced a South-east Asia that is, by most headline metrics, more resilient than anyone predicted in April 2025. Vietnam grew 8%, Malaysia deepened its semiconductor edge, and even Cambodia negotiated its tariff rate down by 30 percentage points. The region demonstrated formidable diplomatic agility.

But the structural uncertainties compounding through 2026—the Section 301 sword hanging over every bilateral deal, the Section 122 expiry cliff, the unresolved refund litigation, and the administration’s demonstrated willingness to use trade as a geopolitical lever for any and all foreign policy goals—mean that celebration is premature. As the Brookings Institution noted, the challenge was never just the size of the tariffs; it was the instability surrounding them that forced businesses to make hiring, pricing and investment decisions in a fog.

For South-east Asia’s policymakers, three imperatives now dominate. First: lock in trade diversification with the EU and CPTPP partners before the next tariff wave hits, reducing the region’s structural vulnerability to a single bilateral relationship. Second: invest urgently in domestic value-add capacity—Vietnam’s 7.8% local content share in its flagship electronics exports is a long-term vulnerability that no trade deal can fix. Third: present a unified ASEAN voice in the next round of Section 301 negotiations; the fragmented, each-nation-for-itself approach of 2025 produced deals of widely varying quality and left smaller economies like Cambodia badly exposed.

The Liberation Day tariffs may have been struck down by the Supreme Court. But the forces that produced them—America’s $760 billion goods trade deficit with Asia, domestic manufacturing anxieties, bipartisan economic nationalism—remain entirely intact. What’s next for South-east Asia after Trump tariffs is, ultimately, what has always been true: the region’s best defence is not diplomatic dependence on any single patron, but structural self-sufficiency that no tariff schedule can easily undo.


Key Data at a Glance (April 2026)

CountryLiberation Day RateCurrent Effective RateGDP Growth 2025Key Sector
Vietnam46%~12.7% (post-deal, 20% headline)8.02%Electronics, semiconductors
Malaysia25%~11% (exemptions)~4.5% est.Chips, manufacturing
Thailand36%~10% (exemptions)~3.2% est.Automotive, electronics
Indonesia32%~19.7%~4.8% est.Commodities, manufacturing
Cambodia49%~19%~5.1% est.Textiles, garments
Singapore10%~2.6% (FTA buffer)~3.0% est.Financial services, logistics


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