How capital allocation, policy choices, and structural limits are redefining 2026 macro outlook

Introduction

The global economy enters 2026 in what can best be described as a plateau phase. Growth has slowed meaningfully from the post-pandemic rebound of 2021–2024, yet remains sufficiently resilient to avoid a broad-based recession. The synchronized global expansion that characterised the recovery is fading, replaced by a far more fragmented macro environment. Growth trajectories are now increasingly shaped by local structural conditions rather than a single global impulse.

This dispersion is already visible across major regions. According to Moody’s, the United States, India, and South Korea are among the strongest performers within the G20. The US continues to outperform peers driven by strong domestic demand, sustained investment momentum, and an adaptable policy mix. Emerging Asia remains a key growth engine, though increasingly uneven, benefiting selectively from supply-chain reconfiguration. Europe enters this phase with weaker growth dynamics, constrained by productivity challenges, fragile confidence, and limited fiscal and monetary space. China remains central to global growth but is transitioning toward a slower, structurally different expansion model shaped by demographics, property-sector stress, and deleveraging.

What makes 2026 particularly significant is not simply the pace of growth, but the nature of its drivers. The cycle is becoming increasingly structural and investment-led rather than purely cyclical. Unlike previous post-recession phases dominated by falling interest rates and credit expansion, the current environment is defined by long-duration capital allocation into artificial intelligence, energy infrastructure, and supply-chain reorganisation. These forces are inherently uneven, favouring economies with deep capital markets, strong innovation ecosystems, and the institutional capacity to translate investment into productivity gains.

As Morgan Stanley has argued, US resilience is best understood through the lens of “AI, capex, and fiscal.” Monetary policy remains relevant, but it is no longer the sole steering mechanism of the macro cycle. Growth and inflation are increasingly shaped by first-order structural themes like AI, energy, strategic materials, and friend-shoring, reducing the marginal influence of interest-rate adjustments alone. Financial markets are responding accordingly, shifting focus away from the concept of “global growth” toward a more granular assessment of where growth is actually occurring. In this sense, 2026 represents not merely continued normalization, but the consolidation of a regime in which stability and dispersion coexist, and where underlying investment positioning matters more than cyclical timing.

G20 annual growth, 2024-2027, %

Source: Moody’s ratings

AI as Macro: The Capex Engine of 2026

Artificial intelligence has moved decisively beyond the realm of technology narratives and into the core of macroeconomic analysis. By 2026, the AI build-out is a measurable driver of growth, capital expenditure, and industrial demand. The surge in AI-related equity prices, the scale of infrastructure investment, and the intensity of private capital flows all point to a structural shift rather than a transitory boom.According to Deutsche Bank, private AI investment inthe United States significantly exceeds that of both Europe and China, where growth is constrained by real-estate fragility, regulatory limits, and export controls. In the US, AI investment is highly concentrated among hyperscalers, whose spending on data centres, software, and research and development is already influencing productivity, labour demand, and aggregate growth. JP Morgan estimates that AI-related capital expenditure accounted for approximately 1.1 percentage points of US GDP growth in the first half of 2025 alone.

Global private investments in AI by geographic area, 2013-2024, $bn

Source: Stanford University, Deutsche Bank AG

The longer-term implications are substantial. IDC estimates that AI could add up to $19.9 trillion to global GDP by 2030, primarily through productivity gains. While the magnitude and timing of these gains remain uncertain, the direction of impact is increasingly evident.

However, this investment surge carries meaningful risks. BlackRock’s 2026 Global Outlook highlights the growing mismatch between upfront AI investment and delayed revenue realization. For current spending levels to be justified, BlackRock estimates that large technology firms will need to generate an additional $1.7–2.5 trillion in revenues by 2030 beyond baseline AI gains.

Estimates of annual US corporate revenue growth through 2030, $tn

Source: BlackRock Investment Institute

The risk is not technological failure, but a prolonged lag between capital deployment and monetisation.

Physical constraints further complicate the outlook. AI infrastructure is exceptionally resource-intensive, requiring vast amounts of electricity, water, and critical materials. Energy availability and grid capacity are emerging as binding constraints in several advanced economies. China, by contrast, appears better positioned in this respect, rapidly expanding nuclear, hydro, and renewable power capacity to support data-centre growth. Alongside energy, the AI expansion depends on upstream supply chains for semiconductors, rare earths, and copper, inputs that are geographically concentrated and increasingly politicised.

These dynamics are already reshaping global trade. AI-driven demand has propelled exports from Taiwan and South Korea well above trend, offsetting weakness in more traditional industrial sectors. This pattern is expected to persist into 2026, reinforcing selective re-globalisation rather than broad-based trade recovery.

Policy Divergence and the Return of Fiscal Dominance

The macro policy framework underpinning the global economy has shifted fundamentally. The traditional relationship between growth, employment, and fiscal consolidation has weakened. Despite historically tight labour markets, major economies continue to run large deficits. In the United States, the federal deficit remains in the range of 6–7% of GDP, reflecting sustained spending on industrial policy, energy transition, defence, and infrastructure.

This represents a structural break from past cycles. For decades, central banks acted as the primary stabilisers of economic fluctuations through interest-rate policy. Today, with inflation anchored closer to 2–3% and real rates structurally higher, monetary policy has less room to stimulate growth aggressively. Rate cuts, where they occur, are expected to be limited and gradual.

As a result, fiscal policy has regained prominence as the dominant driver of relative economic performance. The US benefits from both the political willingness and institutional capacity to deploy large-scale fiscal support. Europe, by contrast, remains constrained by fiscal rules, fragmented governance, and weaker political consensus. China faces a different challenge, balancing stimulus against the risks of further leverage in an already debt-heavy system.

This divergence is reshaping global growth leadership. In the current cycle, government spending, rather than central bank accommodation, is increasingly decisive in determining which economies outperform and which lag behind.

Inflation: A Higher Floor and Structural Constraints

The inflation environment in 2026 is defined by continued disinflation, but at a much slower and less uniform pace than in the immediate post-pandemic period. Advanced economies are converging toward inflation rates close to 2%, yet without a decisive undershoot. Structural factors, including tight labour markets, resilient services inflation, and sustained public investment, are limiting how far inflation can fall.

This has resulted in a higher structural inflation floor relative to the pre-2020 era. Forcing inflation rapidly back to target would require an economic slowdown that policymakers are neither willing nor able to engineer. As Deloitte notes, central banks are shifting from strict inflation optimisation toward managing trade-offs between price stability, growth, and financial resilience.

Regional differences remain pronounced. US inflation stabilises at higher levels, supported by strong services demand and wage growth. The Eurozone experiences a more orderly convergence toward target amid weaker growth. Japan continues to exit decades of deflation, driven by wage reforms and changing expectations. China remains a source of global disinflation due to deleveraging, property-sector weakness, and adverse demographics.

For markets, this implies fewer rate cuts than historically expected, moderately positive real yields, and a low probability of a return to zero-interest-rate policies. The 2026 backdrop can therefore be described as supportive but constrained “Goldilocks with guardrails.”

Fragmentation 2.0: Strategic Scarcity and Supply-Side Risk

Global fragmentation has not receded; it has evolved. The initial post-pandemic phase, defined by tariffs and overt protectionism, has given way to a more structural and less visible form of fragmentation operating upstream through control of critical inputs, infrastructure, and production capacity.

Rare earths mining and refining by geographic area, November 2025, %

Source: LSEG Datastream, Deutsche Bank AG

According to the BlackRock Investment Institute, globalisation is increasingly being repriced through the lens of resilience rather than efficiency. Industrial policy, friend-shoring, and near-shoring are reshaping value chains, but they rarely eliminate dependencies. Instead, they concentrate risk within smaller, politically aligned networks.

China remains central to this configuration. Deutsche Bank estimates that China controls approximately 60% of global rare-earth mining, over 85% of refining capacity, and more than 90% of permanent magnet production, inputs critical to semiconductors, electric vehicles, defence, and renewable energy. Even where downstream assembly shifts elsewhere, upstream dependence often persists in less visible forms.

AI is accelerating these dynamics. While overall global trade growth remains subdued, AI-related supply chains are expanding rapidly. Moody’s Analytics reports that South Korean semiconductor exports rose by more than 20% year-on-year in 2025, driven almost entirely by AI demand. This selective re-globalisation amplifies both growth potential and systemic vulnerability.

Energy and infrastructure are emerging as the next major bottlenecks. BlackRock estimates that electricity demand from data centres alone could more than double by the end of the decade. Grid constraints, transformer shortages, and permitting delays are already limiting new capacity in parts of the US and Europe. These constraints are becoming binding macro variables rather than background conditions.The macro implications are profound. Supply-side bottlenecks generate episodic inflation pressure, complicating central-bank policy. At the same time, fiscal intervention to address strategic vulnerabilities adds to already elevated public debt. As Deutsche Bank notes, this environment increases the risk of asymmetric shocks, where disruptions in specific sectors propagate rapidly across the global economy.

US data center power demand as a share of total, 2024-30, %

Source: BlackRock Investment Institute

Markets and Allocation: From Concentration to Selective Breadth

Equity markets over the past two years have been dominated by a narrow AI-led rally. Deutsche Bank highlights that a small group of megacap technology firms has accounted for the majority of S&P 500 returns, creating a valuation asymmetry in which index-level multiples mask dispersion beneath the surface. This concentration introduces fragility, as disappointments among leaders can have outsized effects on benchmarks.

Share of market capitalization of S&P500, 14 Nov 2025, %

Source: LSEG Datastream, Deutsche Bank AG

At the same time, signs of broadening are emerging. JPMorgan notes that 2025 marked a turning point, with non-US markets beginning to outperform. Structural reforms in Japan, resilient AI-linked supply chains in Taiwan, and cyclical stabilisation in parts of Europe are attracting renewed investor attention.

Fidelity’s 2026 outlook emphasises AI’s spillover effects, which are expanding the investable universe beyond pure technology. Beneficiaries increasingly include industrial automation, utilities powering data centres, digital infrastructure REITs, energy-transition metals, and Asian financial institutions facilitating capital flows. These sectors combine tangible asset backing with improving demand visibility, offering more balanced risk-return profiles than high-multiple tech equities. The resulting allocation framework for 2026 is one of selective diversification. With real rates elevated and earnings dispersion narrowing, capital is no longer confined to a single geography or narrative. Market leadership is likely to depend less on momentum and more on breadth, resilience, and the ability to monetise structural growth themes over time.

Written by:

• Mariia Chasovnikova
• Claudio Di Nubila
• Demet Coşkun
• Viola Castoldi
• Davide Marsetti
• Andrea Rusconi
• Carlo Conte
• Samuele Scattolon
• Niccolò Zucchini