UBS is doubling down on a constructive view for global equities, arguing that the next 6–12 months should remain supportive for stocks as earnings power builds into 2026 and an enormous wave of AI-related capital expenditure takes shape. Against a backdrop of resilient growth and still-accommodative policy, the bank’s strategists see room for equity indices to grind higher and for sector leadership to evolve in favor of AI-linked and quality cyclical themes.[1][2][3][6]
Global Equities: Why Ubs Remains Bullish
UBS keeps an “Attractive” stance on global equities, expecting indices such as the MSCI All Country World to deliver further upside into 2026, supported by solid earnings growth and a constructive macro backdrop.[1][2][6] The firm’s research points to resilient consumer demand, healthy liquidity conditions, and still-supportive monetary and fiscal policy as key pillars for this positive view.[2][3]
In its Year Ahead 2026 outlook, UBS forecasts global equities to rise by around 15% by the end of 2026, driven largely by US stocks but with meaningful contributions from Europe, Japan, China, and broader emerging markets.[2][3] More recent house-view updates reiterate that global stocks could gain more than 10% by the end of 2026, with the rally broadening beyond the early AI infrastructure leaders toward a wider range of sectors and regions.[6]
Regionally, UBS highlights the US as the “core engine” of global equity markets thanks to strong profitability, robust earnings, and the accelerating impact of AI and related themes.[2] But it also upgrades or maintains positive views on Europe, Japan, and emerging markets, especially China and China tech, where liquidity, earnings, and retail flows are seen as supportive.[1][3][4][6] For underallocated investors, UBS explicitly recommends adding to equities and diversifying globally rather than concentrating solely in US megacap tech.[1][3][6]
For traders, this broad-based constructive view creates room not only for outright long index exposure but also for relative-value and sector-rotation strategies across US, European, and Asian equity futures.
The 2026 Earnings Power Story
At the heart of the bullish stance is earnings. UBS expects corporate profits to remain the primary driver of returns, with 2026 shaping up as a year of strong earnings-per-share (EPS) growth in major equity markets.[2][4][6]
In its baseline 2026 scenario, UBS forecasts S&P 500 EPS to reach about USD 305, roughly 10% higher than the prior year, underpinned by healthy demand, AI-driven productivity gains, and stable margins.[2] More recent tactical commentary points to the potential for around 20% S&P 500 EPS growth in 2026 versus current levels, highlighting upside risk to earlier forecasts as AI adoption and operating leverage kick in across sectors.
Outside the US, earnings growth is also expected to be robust. UBS projects particularly strong expansion in emerging markets, where it sees EM equities delivering some of the highest global EPS growth rates, supported by AI innovation, improved corporate governance, and higher commodity earnings.[4][6] This earnings momentum underpins revised higher targets for EM indices and keeps the asset class firmly in the “Attractive” bucket.[4][6]
For traders, the earnings story matters because sustainable EPS growth provides a fundamental cushion under equity valuations. If profits rise faster than prices, price/earnings (P/E) multiples can compress while indices still move higher—reducing the risk of pure multiple-driven bubbles. It also means that earnings seasons and forward guidance will remain key catalysts for volatility in index futures and sector trades.
The Massive Ai-capex Cycle
UBS continues to identify artificial intelligence as the defining investment theme of the decade, with AI and technology already key drivers of global equity performance.[3] The bank expects strong AI-related capex and adoption to fuel further gains in 2026, but cautions that investors must distinguish between structural winners and pockets of speculative excess.[3]
Recent UBS estimates point to roughly USD 820 billion in AI-related capex globally over the coming years, spanning data centers, semiconductors, cloud infrastructure, networking equipment, power systems, and supporting software. This sits alongside broader grid and energy investments—UBS projects around USD 500 billion of global grid investment in 2026 alone—as economies rewire for electrification and data-intensive computing.[2]
UBS breaks the AI opportunity into several layers: enabling hardware (chips, servers, networking), intelligence (AI models and platforms), and applications (industry-specific AI use cases), plus adjacent themes like power, resources, and longevity.[3] The firm suggests investors allocate up to 30% of their equity portfolios to these structural growth ideas, with AI at the center.[3]
This capex super-cycle has clear sector implications. Beneficiaries span:
– Technology: semiconductors, cloud, software, and AI-platform providers – Utilities and power: grid operators, energy infrastructure, and renewables tied to data-center demand – Industrials: automation, robotics, and equipment suppliers – Select commodities: metals and energy inputs needed for chips, data centers, and electrification[2][3][4]
For traders, the AI-capex theme creates a rich landscape for directional and relative trades—such as long tech versus the broad market, long utilities versus traditional defensives, or long AI-linked Asian manufacturing names against regional benchmarks.
Implications For Traders And Simulated Futures Strategies
UBS’s constructive macro and earnings outlook, combined with the AI-capex cycle, is especially relevant for index and sector futures traders. With global equities expected to grind higher but not in a straight line, the environment favors both trend-following and tactical mean-reversion strategies.
Several practical angles stand out
– Global index bias: A modest long bias in major indices like the S&P 500, Nasdaq-100, Euro Stoxx, Nikkei, and MSCI EM futures aligns with UBS’s expectation for double-digit total returns into 2026.[2][3][6] – Sector rotation: Overweights in technology, utilities, health care, and banks—sectors UBS sees as attractive in 2026—can be expressed via sector futures or through relative trades (e.g., long tech/short broad index).[2][3][6] – Regional spreads: Long EM or Asia ex-Japan versus developed-market benchmarks may capitalize on the stronger earnings growth UBS anticipates in those regions.[3][4][6]
In a SimFi environment, traders can test these ideas without real capital at risk, refining position sizing, leverage, and risk controls. For example, you could simulate:
– A multi-leg portfolio of long US tech and EM futures paired against short low-growth defensives – Calendar spreads that express a view on when the AI-capex cycle accelerates or broadens – Hedged strategies that offset concentrated AI exposure with positions in banks, utilities, or commodities
Using simulated trading to iterate through different macro scenarios—faster rate cuts, slower global growth, or an AI-spending slowdown—helps build playbooks that can later be adapted to live markets.
Key Risks And How To Navigate Them
UBS is bullish, not blind. Its research repeatedly flags key risks that could disrupt the constructive outlook: AI setbacks, stickier inflation, renewed trade tensions, debt concerns, and geopolitical shocks.[1][3][4] Higher or more volatile energy prices could also weigh on growth if they persist, even though UBS’s base case assumes oil stays contained enough to avoid a broader shock.[4]
Valuation is another watchpoint. While strong earnings can justify elevated multiples, parts of the AI complex already price in very optimistic scenarios. UBS explicitly warns about bubble risk in some AI segments and encourages diversification beyond a small handful of megacap leaders into underappreciated tech names and other sectors like health care, utilities, and banking.[3][6]
From a portfolio and trading perspective, this argues for:
– Diversification: Avoiding overconcentration in a single region, sector, or theme—even AI. – Risk management: Using position limits, stop-loss rules, and scenario analysis to manage drawdowns. – Hedges: Incorporating assets like gold, which UBS continues to view as an effective hedge against growth scares and inflation shocks.[7] – Time horizon discipline: Aligning trade horizons with the thesis—AI capex is a multi-year story, so short-term noise should be contextualized within that bigger trend.
SimFi platforms are well suited to practicing this kind of risk-aware approach. Traders can experiment with adding hedges, adjusting leverage, or rebalancing between AI, financials, and defensive sectors as conditions change, building the muscle memory needed to navigate a bullish but volatile market regime.