Report published August 17, 2026
UBS Research: Investing in Transformational Innovation Across AI, Power, and Longevity
Source and citation context
- Issuer
- UBS
- Report date
- August 17, 2026
- Analysis as of
- Not stated in source
Authors / editors: Ulrike Hoffmann-Burchardi, Delwin Kurnia Limas, Nathaniel Gabriel, Eric Potoker, Daisy Tseng
Finvaulta summarizes UBS's analysis. Attribute opinions, forecasts, time-sensitive values, and chronology to the issuer and report date; do not treat this page as an independent verification or a current market-data source.
UBS CIO recommends diversified exposure across three core transformational innovation themes: Artificial Intelligence, Power and Resources, and Longevity. Broadening exposure beyond crowded semiconductor beneficiaries enables investors to capture secular growth while mitigating single-stock concentration risks.
Key Takeaways
- 1.Maintain diversified exposure across the AI value chain rather than single-stock semiconductor concentration as overall AI capex is projected to reach USD 1.2tr in 2027.
- 2.Structural demand and the energy transition support long-term investment across power, resources, grid resilience, utilities, and critical minerals like copper and aluminum.
- 3.Longevity and healthcare innovation represent a major long-term growth market, supported by expanding GLP-1 adoption and late-stage trial catalysts in oncology, cardiometabolic conditions, and neurology.
Table of Contents
- Key message
- 01 We have strong conviction in the long-term potential gains offered by AI.
- 02 Structural demand and the energy transition support long-term investment in power and resources.
- 03 Companies offering products and services to extend healthy lifespans should continue to gain traction.
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- One liner
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- Investment view
Report data
Key figures extracted from this report
| Metric | Estimate | Context |
|---|---|---|
| AI Spending / Capex | 900.0 USD billion | Overall AI spending projected for 2026 as hyperscalers raise capex estimates. |
| AI-related Capex | 1.2 USD trillion | Estimated total AI-related capital expenditure by 2027. |
| US Electricity Consumption | 4268.0 billion kilowatt-hours | US power demand forecast rising from 4,195 billion kWh in 2025. |
| US Electricity Consumption | 4391.0 billion kilowatt-hours | US power demand forecast reaching new record high in 2027. |
| Data Center Share of Total US Electricity Use | 9.0% | Projected data center share of US electricity use versus ~4% currently. |
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Authors / Editors
Reported Data Context
- AI Spending / Capex: 900.0 USD billion (2026) · Source: UBS
- AI-related Capex: 1.2 USD trillion (2027) · Source: UBS
- US Electricity Consumption: 4268.0 billion kilowatt-hours (2026) · Source: EIA
- US Electricity Consumption: 4391.0 billion kilowatt-hours (2027) · Source: EIA
- Data Center Share of Total US Electricity Use: 9.0 % (2035) · Source: Bloomberg New Energy Finance