AI-Driven Divergence in Industrial Stocks, UBS Bullish on Compute Infrastructure Beneficiaries
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AI-Driven Divergence in Industrial Stocks, UBS Bullish on Compute Infrastructure Beneficiaries
UBS notes overall positive performance in the US industrial sector, but historical divergence has emerged between AI-related and non-AI companies; institutions have significantly raised expectations for AI infrastructure beneficiaries, believing the AI capex cycle is still in its early stages.
- Organic growth averaged +4.5% for the 24 multi-industry companies with disclosed earnings, with share prices rising an average of 7%.
- AI-exposed companies had organic growth of 14%, while non-AI companies were just 1%, setting a record for historical divergence.
- UBS upgraded earnings forecasts for 80% of disclosed companies, focusing on NVT, GEV, and VRT.
- Believes the AI capex cycle is not yet halfway through; potential cumulative spend could reach $25-30 trillion.
- Short-term most bullish on Johnson Controls (JCI), expecting strong orders and potential guidance upgrades.
Report interpretation
Overview
This report summarizes the performance of the US Electrical Equipment and Multi-Industries sector in the early phase of Q1 2026 earnings disclosure. UBS believes that despite a complex macro environment, industrial stocks performed well overall, with stock prices outperforming the broader market. The core logic lies in the structural growth opportunities brought by AI infrastructure construction, leading to unprecedented performance divergence within the industry between "AI-related" and "traditional terminal markets". Institutions maintain an optimistic view on the sector based on bottom-up earnings breakdowns and top-down AI capex calculations, and specifically recommend companies directly benefiting from data center construction.
Core views
Overall performance is steady, but internal divergence is extreme. Among the 24 multi-industry companies with disclosed earnings, the average organic growth rate is +4.5%, and the sector stock price rose an average of 7%, significantly outperforming the Industrial ETF (XLI +1%). However, the gap in organic growth between the best performer (NVT, +34%) and the worst performer (FLS, -10%) reached 45 percentage points, setting a historical record. This divergence mainly stems from AI exposure: within the quarter, industrial companies involved in AI businesses averaged 14% organic growth, while companies without AI exposure were only at 1%. Earnings forecasts widely upgraded, AI infrastructure beneficiaries most favored. UBS upgraded earnings forecasts for 80% of disclosed companies. Among them, nVent Electric (NVT), GE Vernova (GEV), and Vertiv (VRT) saw the largest forecast increases, reflecting strong market confidence in demand for data center power and thermal management. Conversely, A.O. Smith (AOS), Otis (OTIS), and Flowserve (FLS) saw forecasts downgraded. NVT is viewed as the best performer of the quarter, with its infrastructure sales (data centers and utility power) organically growing 80%, and with a content value of $1 million per megawatt of data center capacity, implying a reachable market of over $100 billion in the coming years. AI capital expenditure cycle still in early stage, huge long-term space. The report believes we are far from reaching the end of the AI capital expenditure cycle. If AI revenue penetration reaches 10% of global GDP, it would correspond to $11 trillion in revenue and $5.5 trillion in profit. At a 20% hurdle rate calculation, this would support $25-30 trillion in cumulative spending. Tech giants like Google also expect capital expenditure to increase "significantly" in 2027 compared to 2026, confirming the logic of orders continuing to exceed expectations. Besides direct beneficiaries GEV and VRT, Johnson Controls (JCI), Trane Technologies (TT), Modine (MOD), and NVT are also considered major beneficiaries, among which MOD and NVT currently have small revenue bases in the data center market (about $1 billion each), offering huge multiple growth potential in the medium term. Non-AI areas need further observation, watch for potential inflection points. Flowserve (FLS) performance was disappointing, organic growth declined 10%, which may have spillover effects on Emerson Electric (EMR) about to report earnings. Ingersoll Rand (IR), as a historically high-quality company, recently experienced significant valuation drawdowns and weak performance. The report believes it is worth researching the drivers of its poor performance and potential positive inflection points. Regarding short-term catalysts, UBS is most bullish on Johnson Controls (JCI), expecting it to announce large orders and possibly upgrade guidance, and the analyst meeting on June 1st will serve as an additional catalyst for the stock price.
Analysis framework
UBS adopted an analysis framework combining "earnings verification + macro scenario deduction". First, by tracking the organic growth rates and stock price reactions of companies with disclosed financial reports to verify industry prosperity; secondly, introducing "AI exposure" as a key variable to quantitatively analyze the structural reshaping role of the new technology cycle on traditional industrial stocks. In calculating long-term space, the report used a top-down model based on global GDP penetration rates, combined with tech giants' capital expenditure guidance, to derive the cumulative market size of AI infrastructure construction, thereby providing a valuation anchor for the long-term growth of relevant industrial stocks. Additionally, by comparing the current revenue base of individual stocks in the data center market with the Total Addressable Market (TAM), evaluating their medium-term growth elasticity.
Methodology notes
AI Capital Expenditure Cycle and Industrial Goods Demand Transmission
The report derives order visibility and growth sustainability of upstream electrical equipment manufacturers (supply side) by analyzing capital expenditure plans of tech giants (such as Google) (demand side), which is a typical supply-demand transmission analysis of the industrial chain.
TAM Estimation Driven by Technology Penetration Rate
The report assumes AI revenue accounts for a specific proportion of global GDP (such as 10%), reversing the total revenue and profit scale of infrastructure construction to estimate the addressable market (TAM) for related industrial equipment, helping investors understand the long-term growth ceiling.
Earnings Forecast Revision Direction as Stock Selection Signal
The report focuses on the direction of analysts' earnings forecast upgrades or downgrades (such as upgrading 80% of company expectations), using it as an important indicator to judge market sentiment and marginal changes in corporate fundamentals, embodying the logic of expectation gap trading.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- nVent Electric (NVT.N)Direct biggest beneficiary, leader in data center electrical connection solutions
- Strengths
- 80% organic growth in infrastructure sales, double-digit growth in data center orders, high content value per MW
- Comparison
- Best earnings performance this quarter, growth certainty higher than peers
- GE Vernova (GEV.N)Core beneficiary of power equipment, grid upgrades and data center power supply demand
- Strengths
- Earnings forecasts significantly upgraded, in the core position of AI power demand
- Comparison
- Co-leading beneficiaries with VRT, NVT
- Vertiv (VRT.N)Core supplier of data center thermal management and power management
- Strengths
- Directly benefits from cooling demand brought by increased AI computing density
- Comparison
- Ranked alongside GEV, NVT as direct biggest beneficiaries
- Johnson Controls (JCI.N)HVAC leader, data center temperature control and traditional business recovery
- Strengths
- Expected to announce large orders, possible guidance upgrade, June 1 analyst meeting as catalyst
- Comparison
- UBS's most watched short-term target, possesses dual drivers
- Modine Manufacturing (MOD.N)Emerging beneficiary of data center thermal management
- Strengths
- Current data center revenue base is small (approx. $1 billion), large potential for medium-term multiple growth
- Comparison
- Similar to NVT, in the early stage of market penetration
- Flowserve (FLS.N)Representative of non-AI sector, performance below expectations
- Weaknesses
- Organic growth dropped 10%, far below expectations
- Comparison
- Worst performance, dragging down sector average
- Risks
- Weak traditional industrial demand, may impact similar companies such as EMR
- Ingersoll Rand (IR.N)High-quality company but recent weak performance
- Strengths
- Historical high-quality track record
- Weaknesses
- Valuation drawdown significant, performance drivers unclear
- Comparison
- Further research needed to find inflection point
- Risks
- Risk of continued underperformance relative to the market
Key data
- Average Organic Growth of Disclosed Companies+4.5%Median is +2.7%
- Sector Stock Price Average Gain+7%Industrial ETF (XLI) gain was +1% during the same period
- AI vs Non-AI Organic Growth Gap45 percentage pointsRecord-breaking divergence between Best (NVT +34%) and Worst (FLS -10%)
- Average Organic Growth of AI Exposure Companies14%Non-AI exposure companies were only at 1%
- Earnings Forecast Upgrade Ratio80%Targeting companies with disclosed earnings
- NVT Infrastructure Sales Growth+80%Organic growth, mainly from data centers and utility power
- AI Infrastructure Cumulative Spending Potential$25-30 TrillionBased on 20% hurdle rate and 10% global GDP penetration assumption
Impact & implications
The report believes the current earnings season further confirms the favorable background for industrial stocks, but investors must accept and adapt to the AI-driven structural divergence. For investors holding traditional industrial exposure, caution is needed regarding the risk of non-AI business growth stagnation; for investors deploying AI infrastructure, the cycle is still in early stages, and orders exceeding expectations and earnings forecast upgrades will continue to support stock prices. Companies like Johnson Controls (JCI) that combine stable recovery of traditional businesses and AI data center opportunities may receive valuation re-rating in the short term.
Risks
- Unexpected changes in global macroeconomic environment
- Fluctuations in currency exchange rates and interest rates
- Commodity price inflation
- Corporate execution risks, M&A integration risks
- Labor relations tensions
- Changes in competitive landscape or regulatory environment (including environmental regulations and tariffs)
- Technology disruption or disintermediation
- Public health emergencies (such as pandemics)
- Capacity constraints and associated pricing pressures
What to watch
- Emerson Electric (EMR)'s earnings performance next week, potential spillover reaction affected by FLS weakness
- Order data and guidance revision status of Johnson Controls (JCI)
- Signals released at Johnson Controls (JCI)'s analyst meeting on June 1
- Sustainability of AI capital expenditure cycle and tech companies' 2027 Capex guidance
- Signs of stabilization in key terminal markets such as residential HVAC