UBS Forecasts 20% S&P 500 EPS Growth for 2026 on AI Boom

UBS remains bullish on global equities over the next six to twelve months, forecasting a 20% surge in S&P 500 earnings per share for 2026. The bank’s mid-year note, published on June 23, 2026, identifies artificial intelligence capital expenditure, resilient US economic activity, sustained fiscal spending, and strong credit creation as the primary catalysts. AI-related capex is projected to jump 68% year-on-year in 2026 to approximately $820 billion. Early market action reflects this optimism, with the S&P 500 trading higher and individual stocks like UPS advancing 2.01% to $107.24 as of 00:22 UTC today.

Context — why this matters now

The bullish forecast arrives as markets seek confirmation that the AI investment cycle has tangible, long-term earnings potential beyond initial hype. Historical parallels exist, such as the internet infrastructure build-out of the late 1990s, where capex surges preceded a period of significant productivity gains. The current cycle is distinguished by the sheer scale of committed capital, with hyperscalers reporting $2 trillion in advance compute resource orders during the first quarter.

Current macroeconomic conditions provide a supportive backdrop. While inflation has moderated from peak levels, the US economy continues to demonstrate resilience, avoiding a widely predicted recession. This resilience allows corporations to confidently allocate substantial capital toward long-term AI projects without immediate pressure to curtail spending.

The catalyst for UBS’s reinforced optimism is the concrete data on order backlogs from major cloud providers. This $2 trillion figure signals deep, committed demand for AI infrastructure, moving beyond speculative investment to funded projects. This level of commitment from the world’s largest technology firms validates the capex forecasts and suggests a multi-year growth runway.

Data — what the numbers show

UBS’s projections outline a clear and accelerating investment pathway. The bank forecasts AI-related capital expenditure will reach around $820 billion in 2026, a 68% increase from 2025. This is followed by a further 21% rise to roughly $990 billion in 2027, with UBS noting upside risks to both estimates. These figures underscore the longevity of the current investment phase.

The earnings implications are substantial. UBS models S&P 500 earnings per share growth of 20% in 2026, accelerating from a projected 12% increase in 2025. Growth is expected to moderate to a still-strong 12% in 2027. This earnings trajectory supports higher equity valuations, particularly for technology and semiconductor sectors directly feeding the AI supply chain.

Hyperscaler metrics provide a real-time pulse on demand. The reported 40% year-on-year cloud growth in Q1 and the colossal $2 trillion in advance orders demonstrate that end-demand is keeping pace with, and potentially exceeding, supply-side investments. This dynamic reduces the risk of near-term capex overhang.

S&P 500 Earnings Per Share Growth Forecast (UBS)

Year	Projected EPS Growth
2025	12%
2026	20%
2027	12%

The forecast contrasts with more cautious projections from other institutions, which have pointed to high valuations as a headwind. UBS’s analysis suggests that strong fundamental earnings growth can justify current index levels and support further gains, with the S&P 500 trading positively in early Monday activity.

Analysis — what it means for markets / sectors / tickers

The direct beneficiaries of this outlook are companies within the AI infrastructure ecosystem. Semiconductors, particularly those involved in advanced compute and memory like Nvidia and AMD, stand to gain from sustained equipment demand. Cloud service providers—Microsoft Azure, Amazon Web Services, and Google Cloud—are positioned to monetize the infrastructure build-out through increased usage and service fees.

Second-order effects will ripple through related sectors. Data center real estate investment trusts (REITs), power providers, and cooling technology firms will experience elevated demand. Utilities and industrial companies may see growth from supplying the enormous energy requirements of AI data centers, a topic explored in Fazen Markets' analysis of energy demand.

A key risk to this constructive view is the potential for a macroeconomic slowdown that forces corporates to delay or cancel capex projects. If consumer demand weakens significantly, the justification for massive AI investment could diminish, leading to downward revisions. Another limitation is the concentration of capex among a small group of tech giants, creating a dependency on their continued financial health.

Positioning data indicates institutional investors are increasing exposure to AI-enabling technology stocks and semiconductor ETFs. Flow analysis shows net inflows into sectors leveraged to the theme, while more defensive sectors have seen outflows. This rotation suggests the market is beginning to price in the multi-year growth story articulated by UBS.

Outlook — what to watch next

The next major catalyst for the AI trade will be the Q2 2026 earnings season, commencing in mid-July. Investors will scrutinize reports from hyperscalers and semiconductor firms for confirmation of capex follow-through and commentary on order book visibility. Any deviation from the expected strong spending trajectory could trigger sector volatility.

Key levels to monitor for the S&P 500 include the psychological 6,000 level as resistance and its 50-day moving average, currently around 5,800, as support. A sustained break above resistance on high volume would lend technical confirmation to the fundamental bullish thesis.

The Federal Reserve’s policy meeting on July 29-30 is critical. While the focus has shifted from inflation to growth, any signal that rates will remain higher for longer could impact the discounted value of future earnings, particularly for long-duration tech stocks. Market reaction to Fed commentary will be a key test of the outlook’s resilience.

Frequently Asked Questions

What does UBS's AI capex forecast mean for semiconductor stocks?

UBS’s projection of $820 billion in AI capex for 2026 is a direct positive for semiconductor stocks, which supply the essential components for AI servers and data centers. Companies like Nvidia, which dominates the market for AI accelerator chips, and manufacturers of high-bandwidth memory are primary beneficiaries. This demand surge is expected to drive elevated revenue and earnings for the sector for at least the next two to three years, supporting current valuations.

How does this AI investment cycle compare to the dot-com boom?

The current AI capex cycle involves larger initial capital commitments from established, cash-rich companies like Microsoft and Google, unlike the dot-com boom which was fueled heavily by venture capital and speculative public offerings. The current hyperscalers are investing to meet identifiable, pre-paid demand from enterprise customers, which may lower the risk of a speculative bubble compared to the late 1990s. However, the scale of investment still carries execution and ROI risks.